2023

Singh, I., Barbano, R., Kereta, Z., Jin, B., Thielemans, K., Arridge, S. (2023). 3D PET-DIP Reconstruction with Relative Difference Prior Using a SIRF-Based Objective.
Bewick, J.A.J., Munro, P.R.T., Arridge, S.R., Guggenheim, J.A. (2023). A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping.
He, T., Thompson, E., Schroder, A., Oxtoby, N.P., Abdulaal, A., Barkhof, F., Alexander, D.C. (2023). A coupled-mechanisms modelling framework for neurodegeneration.
Cheung, W.K., Pakzad, A., Mogulkoc, N., Needleman, S., Rangelov, B., Gudmundsson, E., ...Asimakopoulos, D. (2023). A data-centric deep learning approach to airway segmentation.
Aksman, L.M., Oxtoby, N.P., Scelsi, M.A., Wijeratne, P.A., Young, A.L., Lopes Alves, I., ...Alexander, D.C. (2023). A data-driven study of Alzheimer's disease related amyloid and tau pathology progression. Brain, doi:10.1093/brain/awad232
Zhou, Y., Chia, M.A., Wagner, S.K., Ayhan, M.S., Williamson, D.J., Struyven, R.R., ...Woodward-Court, P. (2023). A foundation model for generalizable disease detection from retinal images. Nature, doi:10.1038/s41586-023-06555-x
Anazodo, U.C., Ng, J.J., Ehiogu, B., Obungoloch, J., Fatade, A., Mutsaerts, H.J.M.M., ...Alexander, D.C. (2023). A Framework for Advancing Sustainable MRI Access in Africa.. NMR in Biomedicine, e4846. doi:10.1002/nbm.4846
Lu, Y., Aslani, S., Zhao, A., Shahin, A., Barber, D., Emberton, M., ...Jacob, J. (2023). A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. Heliyon, e18695. doi:10.1016/j.heliyon.2023.e18695
Stanziola, A., Arridge, S., Cox, B.T., Treeby, B.E. (2023). A learned Born series for highly-scattering media. JASA Express Letters, 3 (5), doi:10.1121/10.0017937
Tregidgo, H.F.J., Soskic, S., Althonayan, J., Maffei, C., Leemput, K.V., Golland, P., ...Paz-Alonso, P.M. (2023). Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage, doi:10.1016/j.neuroimage.2023.120129
Wagner, S.K., Cortina-Borja, M., Silverstein, S.M., Zhou, Y., Romero-Bascones, D., Struyven, R.R., ...Hogg, S. (2023). Association Between Retinal Features From Multimodal Imaging and Schizophrenia.. JAMA Psychiatry, doi:10.1001/jamapsychiatry.2023.0171
Chapman, R., Gudmundsson, E., Aslani, S., Janes, S., Alexander, D., Jacob, J. (2023). Association of Change in Upper Lung Zone Radiologic Pleuroparenchymal Fibroelastosis (PPFE) With Mortality in a Lung Cancer Screening Cohort.
Cheung, W.K., Pakzad, A., Mogulkoc, N., Needleman, S., Rangelov, B., Gudmundsson, E., ...Asimakopoulos, D. (2023). Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis. European Radiology, doi:10.1007/s00330-023-09914-4
Maffeis, G., Pifferi, A., Dalla Mora, A., Di Sieno, L., Cubeddu, R., Tosi, A., ...Tisa, S. (2023). Breast lesion classification based on absorption and composition parameters: a look at SOLUS first outcomes.
Figini, M., Castellano, A., Bailo, M., Callea, M., Cadioli, M., Bouyagoub, S., ...Falini, A. (2023). Comprehensive Brain Tumour Characterisation with VERDICT-MRI: Evaluation of Cellular and Vascular Measures Validated by Histology. Cancers, 15 (9), 2490. doi:10.3390/cancers15092490
Singh, I., Barbano, R., Twyman, R., Kereta, Z., Jin, B., Arridge, S., Thielemans, K. (2023). Deep Image Prior PET Reconstruction using a SIRF-Based Objective.
Puglisi, L., Barkhof, F., Alexander, D.C., Parker, G.J.M., Eshaghi, A., Ravì, D. (2023). DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification.
Gudmundsson, E., Zhao, A., Mogulkoc, N., van Beek, F., Goos, T., Brereton, C.J., ...Garthwaite, H. (2023). Delineating associations of progressive pleuroparenchymal fibroelastosis in patients with pulmonary fibrosis. ERJ Open Research, 9 (2), doi:10.1183/23120541.00637-2022
Rangelov, B., Young, A., Lilaonitkul, W., Aslani, S., Taylor, P., Guðmundsson, E., ...Hawkes, D.J. (2023). Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes. Scientific Reports, 13 doi:10.1038/s41598-023-32469-9
Rangelov, B., Young, A., Lilaonitkul, W., Aslani, S., Taylor, P., Guðmundsson, E., ...Hawkes, D.J. (2023). Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes. Scientific Reports, 13 doi:10.1038/s41598-023-32469-9
Tregidgo, H.F.J., Soskic, S., Olchanyi, M.D., Althonayan, J., Billot, B., Maffei, C., ...Bocchetta, M. (2023). Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI..
Tregidgo, H.F.J., Soskic, S., Olchanyi, M.D., Althonayan, J., Billot, B., Maffei, C., ...Bocchetta, M. (2023). Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI.
Owen, R.K., Lyons, J., Akbari, A., Guthrie, B., Agrawal, U., Alexander, D.C., ...Dezateux, C. (2023). Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data. Lancet Public Health, 8 (7), e535-e545. doi:10.1016/S2468-2667(23)00098-1
Xu, M.-.C., Zhou, Y., Jin, C., Groot, M.D., Alexander, D.C., Oxtoby, N.P., ...Jacob, J. (2023). Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
Shand, C., Markiewicz, P., Cash, D., Alexander, D., Donohue, M., Barkhof, F., ...the Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2023). Heterogeneity in Preclinical Alzheimer’s Disease Trial Cohort Identified by Image-based Data-Driven Disease Progression Modelling.
Hänninen, N., Pulkkinen, A., Arridge, S., Tarvainen, T. (2023). Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte Carlo.
Palombo, M., Valindria, V., Singh, S., Chiou, E., Giganti, F., Pye, H., ...Alexander, D.C. (2023). Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI. Scientific Reports, 13 (1), doi:10.1038/s41598-023-30182-1
Stanziola, A., Arridge, S.R., Cox, B.T., Treeby, B.E. (2023). j-Wave: An open-source differentiable wave simulator. SoftwareX, 22 doi:10.1016/j.softx.2023.101338
Zhang, L., Tanno, R., Xu, M., Huang, Y., Bronik, K., Jin, C., ...Ciccarelli, O. (2023). Learning from multiple annotators for medical image segmentation. Pattern Recognition, 138 doi:10.1016/j.patcog.2023.109400
Lin, H., Figini, M., D'Arco, F., Ogbole, G., Tanno, R., Blumberg, S.B., ...Lagunju, I. (2023). Low-field magnetic resonance image enhancement via stochastic image quality transfer. Medical Image Analysis, 87 doi:10.1016/j.media.2023.102807
Lin, H., Figini, M., D'Arco, F., Ogbole, G., Tanno, R., Blumberg, S.B., ...Lagunju, I. (2023). Low-field magnetic resonance image enhancement via stochastic image quality transfer.
Gong, T., Grussu, F., Wheeler-Kingshott, C.A.M.G., Alexander, D.C., Zhang, H. (2023). Machine-learning-informed parameter estimation improves the reliability of spinal cord diffusion MRI.
Xu, M.C., Zhou, Y., Jin, C., De Groot, M., Alexander, D.C., Oxtoby, N.P., Jacob, J. (2023). MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2023.3273158
Macdonald, C.M., Arridge, S.R., Munro, P.R.T. (2023). On the inverse problem in optical coherence tomography. Scientific Reports, 13 (1), doi:10.1038/s41598-023-28366-w
Ricciardi, A., Grussu, F., Kanber, B., Prados, F., Yiannakas, M.C., Solanky, B.S., ...Ciccarelli, O. (2023). Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset. Frontiers in Neuroinformatics, 17 doi:10.3389/fninf.2023.1060511
Kaupinmäki, S., Cox, B., Arridge, S. (2023). Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain. Applied Mathematics in Science and Engineering, 31 (1), doi:10.1080/27690911.2023.2252571
Singh, I.R.D., Denker, A., Barbano, R., Kereta, Ž., Jin, B., Thielemans, K., ...Arridge, S. (2023). Score-Based Generative Models for PET Image Reconstruction.
Young, A.L., Aksman, L.M., Alexander, D.C., Wijeratne, P.A. (2023). Subtype and Stage Inference with Timescales. In (pp. 15-26). .
Iglesias, J.E., Billot, B., Balbastre, Y., Magdamo, C., Arnold, S.E., Das, S., ...Fischl, B. (2023). SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances, 9 (5), doi:10.1126/sciadv.add3607
Ramalhinho, J., Yoo, S., Dowrick, T., Koo, B., Somasundaram, M., Gurusamy, K., ...Clarkson, M.J. (2023). The value of Augmented Reality in surgery — A usability study on laparoscopic liver surgery. Medical Image Analysis, 90 doi:10.1016/j.media.2023.102943
Levitis, E., Liu, S., Whitman, E.T., Warling, A., Torres, E., Clasen, L.S., ...Raznahan, A. (2023). The variegation of human brain vulnerability to rare genetic disorders and convergence with behaviorally defined disorders.. Biological Psychiatry, S0006-3223(23)01431. doi:10.1016/j.biopsych.2023.07.008
Chen, H., Young, A., Oxtoby, N.P., Barkhof, F., Alexander, D.C., Altmann, A., ADNI, i.n.v.e.s.t.i.g.a.t.o.r.s. (2023). Transferability of Alzheimer's disease progression subtypes to an independent population cohort.. Neuroimage, 120005. doi:10.1016/j.neuroimage.2023.120005
Scotton, W.J., Shand, C., Todd, E., Bocchetta, M., Cash, D.M., VandeVrede, L., ...Oxtoby, N. (2023). Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning. Brain Communications, 5 (2), doi:10.1093/braincomms/fcad048

2022

Djurabekova, N., Goldberg, A., Hawkes, D., Long, G., Lucka, F., Betcke, M.M. (2022). 2D-3D motion registration of rigid objects within a soft tissue structure.
Scotton, W.J., Bocchetta, M., Todd, E., Cash, D.M., Oxtoby, N., Vande Vrede, L., ...Morris, H.R. (2022). A data-driven model of brain volume changes in progressive supranuclear palsy. Brain Communications, doi:10.1093/braincomms/fcac098
Twyman, R., Brusaferri, L., Emond, E.C., Leek, F., Arridge, S., Hutton, B.F., ...Thielemans, K. (2022). A Demonstration of STIR-GATE-Connection.
Barmpoutis, P., Waddingham, W., Yuan, J., Ross, C., Kayhanian, H., Stathaki, T., ...Jansen, M. (2022). A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. PLoS One, 17 (12), doi:10.1371/journal.pone.0275232
Stanziola, A., Arridge, S., Cox, B.T., Treeby, B.E. (2022). A Learned Born Series for Highly-Scattering Media.
Hänninen, N., Pulkkinen, A., Arridge, S., Tarvainen, T. (2022). Adaptive stochastic Gauss-Newton method with optical Monte Carlo for quantitative photoacoustic tomography. Journal of Biomedical Optics, 27 (8), doi:10.1117/1.JBO.27.8.083013
Cheung, W.K., Pakzad, A., Mogulkoc, N., Savas, R., Alexander, D.C., Hu, Y., ...Jacob, J. (2022). Airway inter-tapering and tortuosity predict mortality in idiopathic pulmonary fibrosis.
Wagner, S.K., Hughes, F., Cortina-Borja, M., Pontikos, N., Struyven, R., Liu, X., ...Petersen, S.E. (2022). AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK. BMJ Open, 12 (3), doi:10.1136/bmjopen-2021-058552
Ravi, D., Barkhof, F., Alexander, D.C., Parker, G.J.M., Eshaghi, A. (2022). An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
Twyman, R., Arridge, S., Kereta, Z., Jin, B., Brusaferri, L., Ahn, S., ...Kotasidis, F. (2022). An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalised 3D PET Image Reconstruction. IEEE Transactions on Medical Imaging, doi:10.1109/tmi.2022.3203237
Xiao, F., Caciagli, L., Wandschneider, B., Sone, D., Young, A., Vos, S., ...An, D. (2022). Artificial intelligence and MRI: the source of a new epilepsy taxonomy.
Zhou, Y., Wagner, S.K., Chia, M.A., Zhao, A., Woodward-Court, P., Xu, M., ...Keane, P.A. (2022). AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline. Translational Vision Science & Technology, 11 (7), doi:10.1167/tvst.11.7.12
Singh, S., Rogers, H., Kanber, B., Clemente, J., Pye, H., Johnston, E.W., ...Shaw, G. (2022). Avoiding Unnecessary Biopsy after Multiparametric Prostate MRI with VERDICT Analysis: The INNOVATE Study.. Radiology, 212536. doi:10.1148/radiol.212536
Xu, M.-.C., Zhou, Y., Jin, C., Groot, M.D., Alexander, D.C., Oxtoby, N.P., ...Jacob, J. (2022). Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation.
Atzeni, A., Peter, L., Robinson, E., Blackburn, E., Althonayan, J., Alexander, D.C., Iglesias, J.E. (2022). Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length. Medical Image Analysis, 81 doi:10.1016/j.media.2022.102549
Lu, Y., Aslani, S., Emberton, M., Alexander, D.C., Jacob, J. (2022). Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access, 10 34369-34378. doi:10.1109/ACCESS.2022.3161954
Gong, T., Grussu, F., Wheeler-Kingshott, C., Alexander, D., Zhang, H. (2022). Deep-learning-informed parameter estimation improves reliability of spinal cord diffusion MRI.
Mozumder, M., Hauptmann, A., Arridge, S.R., Tarvainen, T. (2022). Diffuse optical tomography utilizing model-based learning.
Bewick, J.A.J., Munro, P.R.T., Arridge, S.R., Guggenheim, J.A. (2022). Efficient full-wave simulation of wavefront shaping to focus light through biological tissue.
Kinsella, F.C., Byrne, L.M., Rodrigues, F.B., Johnson, E.B., De Vita, E., Alexander, D.C., ...Zetterberg, H. (2022). ELEVATED GFAP AND UCHL-1 IN PLASMA AND CSF IN HD.
Partridge, T., Astolfo, A., Shankar, S.S., Vittoria, F.A., Endrizzi, M., Arridge, S., ...Olivo, A. (2022). Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks. Nature Communications, 13 (1), doi:10.1038/s41467-022-32402-0
Maneas, E., Hauptmann, A., Alles, E.J., Xia, W., Noimark, S., David, A.L., ...Desjardins, A.E. (2022). Enhancement of instrumented ultrasonic tracking images using deep learning. International Journal of Computer Assisted Radiology and Surgery, doi:10.1007/s11548-022-02728-7
Aslani, S., Alluri, P., Gudmundsson, E., Chandy, E., McCabe, J., Devaraj, A., ...Nair, A. (2022). Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
Collins, J.W., Marcus, H.J., Ghazi, A., Sridhar, A., Hashimoto, D., Hager, G., ...Marz, K. (2022). Ethical implications of AI in robotic surgical training: A Delphi consensus statement. European Urology Focus, doi:10.1016/j.euf.2021.04.006
Di Sciacca, G., Maffeis, G., Farina, A., Dalla Mora, A., Pifferi, A., Taroni, P., Arridge, S. (2022). Evaluation of a pipeline for simulation, reconstruction, and classification in ultrasound-aided diffuse optical tomography of breast tumors. JOURNAL OF BIOMEDICAL OPTICS, 27 (3), doi:10.1117/1.JBO.27.3.036003
Chapman, R., Gudmundsson, E., Zhao, A., Mogulkoc, N., Stewart, I., Jones, M.G., ...van Es, H.W. (2022). Evaluation of Change in Upper Lung Zone Radiologic Pleuroparenchymal Fibroelastosis (PPFE) as a Predictor of Mortality in Idiopathic Pulmonary Fibrosis (IPF).
Lopez, S.M., Aksman, L.M., Oxtoby, N.P., Vos, S.B., Rao, J., Kaestner, E., ...Bernasconi, A. (2022). Event-based modelling in temporal lobe epilepsy demonstrates progressive atrophy from cross-sectional data. Epilepsia, doi:10.1111/epi.17316
Zhou, Y., Wagner, S., Chia, M., Woodward-Court, P., Alexander, D., Keane, P. (2022). Exploring Retinal Vascular Morphology via A Deep Learning Pipeline.
Lim, J.P., Blumberg, S.B., Narayan, N., Epstein, S.C., Alexander, D.C., Palombo, M., Slator, P.J. (2022). Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning.
Jaubert, O., Montalt-Tordera, J., Brown, J., Knight, D., Arridge, S., Steeden, J., Muthurangu, V. (2022). FReSCO: Flow Reconstruction and Segmentation for low-latency Cardiac Output monitoring using deep artifact suppression and segmentation. Magnetic Resonance in Medicine, doi:10.1002/mrm.29374
Woodward-Court, P., Keane, P.A., Alexander, D., Zhou, Y. (2022). Generative Adversarial Networks for OCT Counterfactual Visual Explanations in Ophthalmic Imaging.
Barmpoutis, P., Waddingham, W., Ross, C., Hamzeh, K., Alexander, D.C., Jansen, M. (2022). Gland segmentation in gastric histology images: detection of intestinal metaplasia.
Singh, S., Mathew, M., Mertzanidou, T., Suman, S., Clemente, J., Retter, A., ...Kasivisvanathan, V. (2022). Histo-MRI map study protocol: a prospective cohort study mapping MRI to histology for biomarker validation and prediction of prostate cancer. BMJ Open, 12 (4), doi:10.1136/bmjopen-2021-059847
Taylor, B., Mohamud, S., Brotherhood, E., Harding, E., Waddington, C., Camic, P., ...Hardy, C. (2022). How do the activities of daily living decline in people living with rarer dementias? A systematic review.
Kuan, V., Denaxas, S., Patalay, P., Nitsch, D., Mathur, R., Gonzalez-Izquierdo, A., ...Wong, I.C.K. (2022). Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study. The Lancet Digital Health, doi:10.1016/S2589-7500(22)00187-X
Redolfi, A., Archetti, D., De Francesco, S., Crema, C., Tagliavini, F., Lodi, R., ...D’Angelo, E. (2022). Italian, European, And International Neuroinformatics Efforts: An Overview. European Journal of Neuroscience, doi:10.1111/ejn.15854
Arridge, S., Fernsel, P., Hauptmann, A. (2022). Joint reconstruction and low-rank decomposition for dynamic inverse problems. Inverse Problems & Imaging, 0 (0), 0. doi:10.3934/ipi.2021059
Xu, M.-.C., Zhou, Y.-.K., Jin, C., Blumberg, S.B., Wilson, F.J., deGroot, M., ...Jacob, J. (2022). Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Jin, C., Tanno, R., Mertzanidou, T., Panagiotaki, E., Alexander, D.C. (2022). Learning to Downsample for Segmentation of Ultra-High Resolution Images.
Singh, I., Jaubert, O., Jin, B., Thielemans, K., Arridge, S. (2022). Magnetic Resonance Fingerprinting with Total Nuclear Variation Regularisation.
Barmpoutis, P., Yuan, J., Waddingham, W., Ross, C., Hamzeh, K., Stathaki, T., ...Jansen, M. (2022). Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset.
Arjas, A., Alles, E.J., Maneas, E., Arridge, S., Desjardins, A., Sillanpaa, M.J., Hauptmann, A. (2022). Neural Network Kalman Filtering for 3-D Object Tracking From Linear Array Ultrasound Data. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, doi:10.1109/tuffc.2022.3162097
Kaupinmäki, S., Cox, B., Arridge, S. (2022). Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain.
Kohli, M., Pustina, D., Warner, J.H., Alexander, D.C., Scahill, R.I., Tabrizi, S.J., Wijeratne, P.A. (2022). PREDICTING HUNTINGTON'S DISEASE STATE USING STRUCTURAL MRI: IT'S MORE THAN JUST THE STRIATUM.
Eshaghi, A., Wijeratne, P., Oxtoby, N., Arnold, D., Collins, L., Narayanan, S., ...Barkhof, F. (2022). Predicting personalised risk of disability worsening in multiple sclerosis with machine learning. .
Zhao, A., Shahin, A.H., Zhou, Y., Gudmundsson, E., Szmul, A., Mogulkoc, N., ...Pontoppidan, K. (2022). Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.
Blumberg, S.B., Lin, H., Grussu, F., Zhou, Y., Figini, M., Alexander, D.C. (2022). Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.
Pakzad, A., Cheung, W.K., Quan, K., Mogulkoc, N., Van Moorsel, C.H., Bartholmai, B.J., ...Veltkamp, M. (2022). Quantifying morphological airway damage in idiopathic pulmonary fibrosis.
Pakzad, A., Cheung, W.K., Quan, K., Mogulkoc, N., Van Moorsel, C.H., Bartholmai, B.J., ...Veltkamp, M. (2022). Quantifying morphological airway damage in idiopathic pulmonary fibrosis.
Taroni, P., Dalla Mora, A., Di Sieno, L., Maffeis, G., Pifferi, A., Tosi, A., ...Tisa, S. (2022). SOLUS: Multimodal System Combining Ultrasounds and Diffuse Optics for Tomographic Imaging of Breast Cancer.
Zhang, H., Alexander, D.C., Shen, D., Yap, P.-.T. (2022). Special issue on machine learning and deep learning in magnetic resonance. NMR IN BIOMEDICINE, 35 (4), doi:10.1002/nbm.4713
Oxtoby, N.P., Shand, C., Cash, D.M., Alexander, D.C., Barkhof, F. (2022). Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models. Frontiers in Artificial Intelligence, 5 doi:10.3389/frai.2022.660581
Saito, Y., Kamagata, K., Wijeratne, P.A., Andica, C., Uchida, W., Takabayashi, K., ...Shimoji, K. (2022). Temporal Progression Patterns of Brain Atrophy in Corticobasal Syndrome and Progressive Supranuclear Palsy Revealed by Subtype and Stage Inference (SuStaIn). Frontiers in Neurology, 13 doi:10.3389/fneur.2022.814768
Bron, E.E., Klein, S., Reinke, A., Papma, J.M., Maier-Hein, L., Alexander, D.C., Oxtoby, N.P. (2022). Ten years of image analysis and machine learning competitions in dementia. NeuroImage, 253 doi:10.1016/j.neuroimage.2022.119083
Levitis, E., Liu, S., Whitman, E., Warling, A., Torres, E., Clasen, L., ...Raznahan, A. (2022). The variegation of human brain vulnerability to rare genetic disorders and convergence with behaviorally defined disorders.
Gyori, N., Palombo, M., Clark, C., Zhang, H., Alexander, D. (2022). Training data distribution significantly impacts the estimation of tissue microstructure with machine learning. Magnetic Resonance in Medicine, doi:10.1002/mrm.29014
Jin, B., Barbano, R., Arridge, S., Tanno, R. (2022). Uncertainty quantification in medical image synthesis. In Biomedical Image Synthesis Simulation: Methods and Applications. Lavoisier.
Inkinen, S.I., Brix, M.A.K., Nieminen, M.T., Arridge, S., Hauptmann, A. (2022). Unsupervised denoising for sparse multi-spectral computed tomography.
Barbano, R., Kereta, Z., Hauptmann, A., Arridge, S.R., Jin, B. (2022). Unsupervised knowledge-transfer for learned image reconstruction. Inverse Problems, doi:10.1088/1361-6420/ac8a91

2021

Arridge, S.R., Ehrhardt, M.J., Thielemans, K. (2021). (An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods.. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2200), 20200205. doi:10.1098/rsta.2020.0205
Jacob, J. (2021). A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning. IEEE Access,
Cheung, W.K., Bell, R., Nair, A., Menezies, L., Patel, R., Wan, S., ...Davies, R.H. (2021). A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning. Cold Spring Harbor Laboratory Press.
Stanziola, A., Arridge, S.R., Cox, B.T., Treeby, B.E. (2021). A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound. Journal of Computational Physics, 441 doi:10.1016/j.jcp.2021.110430
Mozumder, M., Hauptmann, A., Nissila, I., Arridge, S.R., Tarvainen, T. (2021). A model-based iterative learning approach for diffuse optical tomography. IEEE Transactions on Medical Imaging, 1. doi:10.1109/tmi.2021.3136461
Wijeratne, P.A., Johnson, E.B., Gregory, S., Georgiou-Karistianis, N., Paulsen, J.S., Scahill, R.I., ...Alexander, D.C. (2021). A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease. Frontiers in Big Data, 4 doi:10.3389/fdata.2021.662200
Stanziola, A., Arridge, S.R., Cox, B.T., Treeby, B.E. (2021). A research framework for writing differentiable PDE discretizations in JAX.
Singh, S., Rogers, H., Kanber, B., Clemente, J., Pye, H., Grey, A., ...Freeman, A. (2021). An opportunity for men with positive prostate mpMRI studies to safely avoid biopsy Results from the INNOVATE Study.
Slator, P.J., Ho, A., Bakalis, S., Jackson, L., Chappell, L., Alexander, D., ...Hutter, J. (2021). Anisotropy in the Human Placenta in Pregnancies Complicated by Fetal Growth Restriction.
Eshaghi, A., Young, A.L., Wijeratne, P.A., Prados, F., Arnold, D.L., Narayanan, S., ...Thompson, A.J. (2021). Author Correction: Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.. Nature Communications, 12 (1), 3169. doi:10.1038/s41467-021-23538-6
Koo, B., Robu, M.R., Allam, M., Pfeiffer, M., Thompson, S., Gurusamy, K., ...Stoyanov, D. (2021). Automatic, global registration in laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery, doi:10.1007/s11548-021-02518-7
Young, A.L., Bocchetta, M., Russell, L.L., Convery, R.S., Peakman, G., Todd, E., ...Jiskoot, L. (2021). Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling. Neurology, doi:10.1212/WNL.0000000000012410
Johnson, D., Ricciardi, A., Brownlee, W., Kanber, B., Prados, F., Collorone, S., ...Gandini Wheeler-Kingshott, C.A.M. (2021). Comparison of Neurite Orientation Dispersion and Density Imaging and Two-Compartment Spherical Mean Technique Parameter Maps in Multiple Sclerosis. Frontiers in Neurology, 12 doi:10.3389/fneur.2021.662855
Slator, P.J., Hutter, J., Marinescu, R.V., Palombo, M., Jackson, L., Ho, A., ...Alexander, D.C. (2021). Data-Driven Multi-Contrast Spectral Microstructure Imaging with InSpect: INtegrated SPECTral Component Estimation and Mapping. Medical Image Analysis, doi:10.1016/j.media.2021.102045
Jaubert, O., Steeden, J., Montalt-Tordera, J., Arridge, S., Kowalik, G.T., Muthurangu, V. (2021). Deep artifact suppression for spiral real-time phase contrast cardiac magnetic resonance imaging in congenital heart disease. Magnetic Resonance Imaging, 83 125-132. doi:10.1016/j.mri.2021.08.005
Maneas, E., Hauptmann, A., Alles, E.J., Xia, W., Vercauteren, T., Ourselin, S., ...Desjardins, A.E. (2021). Deep Learning for Instrumented Ultrasonic Tracking: From synthetic training data to in vivo application. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, doi:10.1109/tuffc.2021.3126530
Grussu, F., Battiston, M., Palombo, M., Schneider, T., Wheeler-Kingshott, C.A.M.G., Alexander, D.C. (2021). Deep Learning Model Fitting for Diffusion-Relaxometry: A Comparative Study. In Gyori, N., Hutter, J., Nath, V., Palombo, M., Pizzolato, M., Zhang, F. (Eds.), (pp. 159-172). SPRINGER-VERLAG BERLIN.
Ravi, D., Blumberg, S.B., Ingala, S., Barkhof, F., Alexander, D.C., Oxtoby, N.P., Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2021). Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. Medical Image Analysis, 75 doi:10.1016/j.media.2021.102257
Brusaferri, L., Emond, E.C., Bousse, A., Twyman, R., Whitehead, A.C., Atkinson, D., ...Thielemans, K. (2021). Detection Efficiency Modelling and Joint Activity and Attenuation Reconstruction in non-TOF 3D PET from Multiple-Energy Window Data. IEEE Transactions on Radiation and Plasma Medical Sciences, 1. doi:10.1109/trpms.2021.3064239
Kanber, B., Vos, S.B., de Tisi, J., Wood, T.C., Barker, G.J., Rodionov, R., ...Duncan, J.S. (2021). Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data. Epilepsia, doi:10.1111/epi.16836
Gudmundsson, E., Zhao, A., Mogulkoc, N., Jones, M.G., Moorsel, C.V., Savas, R., ...Pontoppidan, K. (2021). Effects of Visually Scored Pleuroparenchymal Fibroelastosis Severity on Functional Decline and Mortality in IPF Patients.
Di Sciacca, G., Di Sieno, L., Farina, A., Lanka, P., Venturini, E., Panizza, P., ...Arridge, S.R. (2021). Enhanced diffuse optical tomographic reconstruction using concurrent ultrasound information. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2204), doi:10.1098/rsta.2020.0195
Pye, H., Singh, S., Norris, J.M., Carmona Echeverria, L.M., Stavrinides, V., Grey, A., ...Heavey, S. (2021). Evaluation of PSA and PSA Density in a Multiparametric Magnetic Resonance Imaging-Directed Diagnostic Pathway for Suspected Prostate Cancer: The INNOVATE Trial. Cancers, 13 (8), 1985. doi:10.3390/cancers13081985
Pye, H., Singh, S., Norris, J.M., Carmona Echeverria, L.M., Stavrinides, V., Grey, A., ...Heavey, S. (2021). Evaluation of PSA and PSA Density in a Multiparametric Magnetic Resonance Imaging-Directed Diagnostic Pathway for Suspected Prostate Cancer: The INNOVATE Trial. Cancers, 13 (8), 1985. doi:10.3390/cancers13081985
Grussu, F., Blumberg, S., Battiston, M., Kakkar, L., Lin, H., Ianus, A., ...Punwani, S. (2021). Feasibility of data-driven, model-free quantitative MRI protocol design: application to brain and prostate diffusion-relaxation imaging. Frontiers in Physics, doi:10.3389/fphy.2021.752208
Kohli, M., Pustina, D., Warner, J., Scahill, R., Tabrizi, S., Alexander, D., Wijeratne, P. (2021). FINE-GRAINED PREDICTION OF HUNTINGTON'S DISEASE PROGRESSION USING A STACKED ENSEMBLE APPROACH.
Vogel, J.W., Young, A.L., Oxtoby, N.P., Smith, R., Ossenkoppele, R., Strandberg, O.T., ...Iturria-Medina, Y. (2021). Four distinct trajectories of tau deposition identified in Alzheimer's disease.. Nat Med, doi:10.1038/s41591-021-01309-6
Hawkes, D.J. (2021). From Geometric Models to AI in Computer-Assisted Interventions. In Multidisciplinary Computational Anatomy: Toward Integration of Artificial Intelligence with MCA-based Medicine. (pp. 3-9). .
Lin, H., Zhou, Y., Slator, P., Alexander, D. (2021). Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts.
Alexander, N., Alexander, D.C., Barkhof, F., Denaxas, S. (2021). Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning. BMC Medical Informatics and Decision Making, 21 doi:10.1186/s12911-021-01693-6
Eshaghi, A., Young, A., Wijeratne, P.A., Prados, F., Arnold, D.L., Narayanan, S., ...Thompson, A.J. (2021). Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data. Nature Communications, doi:10.1038/s41467-021-22265-2
Baum, Z.M.C., Bonmati, E., Cristoni, L., Walden, A., Prados, F., Kanber, B., ...Wheeler-Kingshott, C.A.M.G. (2021). Image quality assessment for closed-loop computer-assisted lung ultrasound.
Callaghan, R., Alexander, D., Palombo, M., Zhang, H. (2021). Impact of within-voxel heterogeneity in fibre geometry on spherical deconvolution.
Buizza, G., Paganelli, C., Ballati, F., Sacco, S., Preda, L., Iannalfi, A., ...Palombo, M. (2021). Improving the characterization of meningioma microstructure in proton therapy from conventional apparent diffusion coefficient measurements using Monte Carlo simulations of diffusion MRI.. Medical Physics, doi:10.1002/mp.14689
Archetti, D., Young, A.L., Oxtoby, N.P., Ferreira, D., Mårtensson, G., Westman, E., ...for Alzheimer’s Disease Neuroimaging Initiative and EuroPOND, C.o.n. (2021). Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease. Frontiers in Big Data, 4 doi:10.3389/fdata.2021.661110
Iglesias, J.E., Billot, B., Balbastre, Y., Tabari, A., Conklin, J., Gilberto González, R., ...Fischl, B. (2021). Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage, 237 doi:10.1016/j.neuroimage.2021.118206
Palombo, M., Alexander, D., Zhang, H. (2021). Large-scale analysis of brain cell morphometry informs microstructure modelling of gray matter..
Zhou, Y., Xu, M., Hu, Y., Lin, H., Jacob, J., Keane, P.A., Alexander, D.C. (2021). Learning to Address Intra-segment Misclassification in Retinal Imaging.
Jin, C., Tanno, R., Mertzanidou, T., Panagiotaki, E., Alexander, D.C. (2021). Learning to Downsample for Segmentation of Ultra-High Resolution Images.
Wijeratne, P.A., Alexander, D.C. (2021). Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression. In (pp. 583-595). .
Hill, I., Palombo, M., Santin, M., Branzoli, F., Philippe, A.-.C., Wassermann, D., ...Felfi, M. (2021). Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.. Neuroimage, 117425. doi:10.1016/j.neuroimage.2020.117425
Ianus, A., Alexander, D.C., Zhang, H., Palombo, M. (2021). Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage, 241 doi:10.1016/j.neuroimage.2021.118424
Abascal, J.F., Ducros, N., Pronina, V., Rit, S., Rodesch, P.A., Broussaud, T., ...Arridge, S. (2021). Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approach. IEEE Access, doi:10.1109/ACCESS.2021.3056150
Xu, M.-.C., Zhou, Y., Jin, C., Groot, M.D., Oxtoby, N.P., Alexander, D.C., Jacob, J. (2021). MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels.
Wijeratne, P., Scahill, R., Tabrizi, S., Alexander, D. (2021). MODELLING HUNTINGTON'S DISEASE PROGRESSION: INTERPRETATION, STAGING AND PROGNOSIS.
Zhao, A., Gudmundsson, E., Mogulkoc, N., Jones, M.G., Van Moorsel, C., Corte, T.J., ...Van Es, H.W. (2021). Mortality in combined pulmonary fibrosis and emphysema patients is determined by the sum of pulmonary fibrosis and emphysema. ERJ Open Research, 7 (3), doi:10.1183/23120541.00316-2021
Jacob, J. (2021). Mortality in CPFE patients is determined by the sum of pulmonary fibrosis and emphysema. ERJ Open Research,
Ganepola, T., Lee, Y., Alexander, D.C., Sereno, M.I., Nagy, Z. (2021). Multiple b-values improve discrimination of cortical gray matter regions using diffusion MRI: an experimental validation with a data-driven approach. Magnetic Resonance Materials in Physics, Biology and Medicine, doi:10.1007/s10334-021-00914-3
Kanber, B., Morrow, J.M., Klickovic, U., Wastling, S., Shah, S., Fratta, P., ...Muntoni, F. (2021). Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases.. Neuroinformatics, doi:10.1007/s12021-020-09485-5
Lunz, S., Hauptmann, A., Tarvainen, T., Schönlieb, C.-.B., Arridge, S. (2021). On Learned Operator Correction in Inverse Problems. SIAM Journal on Imaging Sciences, 14 (1), 92-127. doi:10.1137/20m1338460
De Luca, A., Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., ...Biessels, G.-.J. (2021). On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. Neuroimage, 240 doi:10.1016/j.neuroimage.2021.118367
De Luca, A., Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., ...Biessels, G.-.J. (2021). On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge. .
Gyori, N.G., Clark, C.A., Alexander, D.C., Kaden, E. (2021). On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol. NeuroImage, 239 doi:10.1016/j.neuroimage.2021.118303
Bellio, M., Furniss, D., Oxtoby, N.P., Garbarino, S., Firth, N.C., Ribbens, A., ...Blandford, A. (2021). Opportunities and barriers for adoption of a decision-support tool for Alzheimer’s Disease. ACM Transactions on Computing for Healthcare, doi:10.1145/3462764
Young, A.L., Vogel, J.W., Aksman, L.M., Wijeratne, P.A., Eshaghi, A., Oxtoby, N.P., ...Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2021). Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data. Frontiers in Artificial Intelligence, 4 doi:10.3389/frai.2021.613261
Tsai, Y.-.J., Bousse, A., Arridge, S., Stearns, C.W., Hutton, B.F., Thielemans, K. (2021). Penalized PET/CT Reconstruction Algorithms With Automatic Realignment for Anatomical Priors. IEEE Transactions on Radiation and Plasma Medical Sciences, 5 (3), 362-372. doi:10.1109/trpms.2020.3025540
Schneider, C., Allam, M., Stoyanov, D., Hawkes, D.J., Gurusamy, K., Davidson, B.R. (2021). Performance of image guided navigation in laparoscopic liver surgery – A systematic review. Surgical Oncology, 38 doi:10.1016/j.suronc.2021.101637
Pan, B., Arridge, S.R., Lucka, F., Cox, B.T., Huynh, N., Beard, P.C., ...Betcke, M.M. (2021). Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain. IEEE Transactions on Computational Imaging, 7 879-893. doi:10.1109/TCI.2021.3103606
Jacob, J. (2021). Pleuroparenchymal Fibroelastosis in Idiopathic Pulmonary Fibrosis: Survival Analysis using Visual and Computer-Based Computed Tomography Assessment. EClinicalMedicine, doi:10.1016/j.eclinm.2021.101009
Fiford, C.M., Sudre, C.H., Young, A.L., Macdougall, A., Nicholas, J., Manning, E.N., ...Pemberton, H.G. (2021). Presumed small vessel disease, imaging and cognition markers in the Alzheimer's Disease Neuroimaging Initiative. Brain Communications, 3 (4), doi:10.1093/braincomms/fcab226
Aksman, L.M., Wijeratne, P.A., Oxtoby, N.P., Eshaghi, A., Shand, C., Altmann, A., ...Young, A.L. (2021). pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm. SoftwareX, 16 doi:10.1016/j.softx.2021.100811
Aksman, L., Wijeratne, P., Oxtoby, N., Eshaghi, A., Shand, C., Altmann, A., ...Young, A. (2021). pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithm. .
Barbano, R., Zhang, C., Arridge, S., Jin, B. (2021). Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent.
Jaubert, O., Montalt-Tordera, J., Knight, D., Coghlan, G.J., Arridge, S., Steeden, J.A., Muthurangu, V. (2021). Real-time deep artifact suppression using recurrent U-Nets for low-latency cardiac MRI.. Magnetic Resonance in Medicine, doi:10.1002/mrm.28834
Wijeratne, P.A., Garbarino, S., Gregory, S., Johnson, E.B., Scahill, R.I., Paulsen, J.S., ...Alexander, D.C. (2021). Revealing the Timeline of Structural MRI Changes in Premanifest to Manifest Huntington Disease. Neurology Genetics, 7 (5), e617-. doi:10.1212/nxg.0000000000000617
Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D.C., Shemesh, N., Zhang, H. (2021). SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI (vol 215, 116835, 2020). NEUROIMAGE, 226 doi:10.1016/j.neuroimage.2020.117612
Bewick, J.A.J., Munro, P.R.T., Arridge, S.R., Guggenheim, J.A. (2021). Scalable full-wave simulation of coherent light propagation through biological tissue.
Oxtoby, N., Leyland, L., Aksman, L., Thomas, G., Bunting, E., Wijeratne, P., ...Bremner, F. (2021). Sequence of clinical and neurodegeneration events in Parkinson’s disease progression. Brain: a journal of neurology, doi:10.1093/brain/awaa461
Pifferi, A., Dalla Mora, A., Di Sieno, L., Maffeis, G., Tosi, A., Conca, E., ...Tisa, S. (2021). SOLUS: A novel multimodal approach to diffuse optics and ultrasound imaging of breast cancer.
Pifferi, A., Dalla Mora, A., Di Sieno, L., Maffeis, G., Tosi, A., Conca, E., ...Tisa, S. (2021). SOLUS: A novel multimodal approach to ultrasound and diffuse optics imaging of breast cancer.
Pifferi, A., Dalla Mora, A., Di Sieno, L., Ferocino, E., Tosi, A., Conca, E., ...Tisa, S. (2021). SOLUS: An innovative multimodal imaging system to improve breast cancer diagnosis through diffuse optics and ultrasounds.
Kereta, Z., Twyman, R., Arridge, S.R., Thielemans, K., Jin, B. (2021). Stochastic EM methods with variance reduction for penalised PET reconstructions. Inverse Problems, 37 (11), doi:10.1088/1361-6420/ac2d74
Oxtoby, N., Shand, C., Cash, D., Alexander, D., Barkhof, F., for the Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e., the Alzheimer’s Disease Cooperative, S.t.u.d.y. (2021). Targeted screening for Alzheimer’s disease clinical trials using data-driven disease progression models. .
Barmpoutis, P., Di Capite, M., Kayhanian, H., Waddingham, W., Alexander, D.C., Jansen, M., Kwong, F.N.K. (2021). Tertiary lymphoid structures (TLS) identification and density assessment on H&E-stained digital slides of lung cancer. PLOS ONE, 16 (9), doi:10.1371/journal.pone.0256907
Marinescu, R.V., Oxtoby, N.P., Young, A.L., Bron, E.E., Toga, A.W., Weiner, M.W., ...Toni, T. (2021). The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up. Machine Learning for Biomedical Imaging, 1 (December 2021), 1-60. doi:10.59275/j.melba.2021-2dcc
Dekker, I., Schoonheim, M.M., Venkatraghavan, V., Eijlers, A.J.C., Brouwer, I., Bron, E.E., ...Geurts, J.J.G. (2021). The sequence of structural, functional and cognitive changes in multiple sclerosis. NeuroImage: Clinical, 29 doi:10.1016/j.nicl.2020.102550
Barmpoutis, P., Kayhanian, H., Waddingham, W., Alexander, D.C., Jansen, M. (2021). Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis.
Cushnan, D., Berka, R., Bertolli, O., Williams, P., Schofield, D., Joshi, I., ...Jefferson, E. (2021). Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic. Digital Health, 7 doi:10.1177/20552076211048654
Gyori, N., Palombo, M., Clark, C., Zhang, H., Alexander, D. (2021). Training Data Distribution Significantly Impacts the Estimation of Tissue Microstructure with Machine Learning.
Tanno, R., Worrall, D.E., Kaden, E., Ghosh, A., Grussu, F., Bizzi, A., ...Alexander, D.C. (2021). Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage, 225 doi:10.1016/j.neuroimage.2020.117366
Peter, L., Alexander, D.C., Magnain, C., Iglesias, J.E. (2021). Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2021.3070842
Moura, A., Champaud, J., Scahill, R., Tabrizi, S., Alexander, D., Wijeratne, P. (2021). UNCOVERING THE TEMPORAL SEQUENCE OF REGIONAL BRAIN VOLUME AND NEURAL CONNECTIVITY CHANGES IN HUNTINGTON'S DISEASE.
Nai, Y.-.H., Schaefferkoetter, J., Fakhry-Darian, D., O'Doherty, S., Totman, J.J., Conti, M., ...Tham, I. (2021). Validation of low-dose lung cancer PET-CT protocol and PET image improvement using machine learning.. Phys Med, doi:10.1016/j.ejmp.2020.11.027

2020

Bronik, K., Yiannakas, M., Gandini Wheeler-Kingshott, C.A.M., Alexander, D., Prados Carrasco, F. (2020). A 3D Convolutional Deep Neural Network for lumbar plexus segmentation.
Carmona Echeverria, L.M., Haider, A., Freeman, A., Stopka-Farooqui, U., Rosenfeld, A., Simpson, B.S., ...Heavey, S. (2020). A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists. Scientific Reports, 10 (1), doi:10.1038/s41598-020-73524-z
Leigh, P., Gabel, M.C., Broad, R., Young, A., Abrahams, S., Bastin, M., ...Tsermentseli, S. (2020). A Data-Driven Characterisation of the Evolution of White Matter Damage in Amyotrophic Lateral Sclerosis.
Pizzolato, M., Palombo, M., Bonet-Carne, E., Tax, C.M.W., Grussu, F., Ianus, A., ...Larochelle, H. (2020). Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge. In Mathematics and Visualization. (pp. 195-208). .
Bellio, M., Oxtoby, N.P., Walker, Z., Henley, S., Ribbens, A., Blandford, A., ...Yong, K.X.X. (2020). Analyzing large Alzheimer’s disease cognitive datasets: Considerations and challenges. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 12 e12135. doi:10.1002/dad2.12135
Mengoudi, K., Daniele, R., Yong, K., Primativo, S., Pavisic, I., Brotherhood, E., ...Alexander, D. (2020). Augmenting Dementia Cognitive Assessment with Instruction-less Eye-tracking Tests. IEEE Journal of Biomedical and Health Informatics, doi:10.1109/JBHI.2020.3004686
Kakkar, L.S., Usman, M., Arridge, S., Kirkham, A., Atkinson, D. (2020). Characterization of B₀-field fluctuations in prostate MRI.. Physics in Medicine & Biology, doi:10.1088/1361-6560/abbc7f
Schneider, C., Thompson, S., Totz, J., Song, Y., Allam, M., Sodergren, M.H., ...Gurusamy, K. (2020). Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study. Surgical Endoscopy, doi:10.1007/s00464-020-07807-x
Callaghan, R., Alexander, D.C., Palombo, M., Zhang, H. (2020). ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage, 117107. doi:10.1016/j.neuroimage.2020.117107
Bussod, S., Abascal, J.F.P.J., Arridge, S.R., Hauptmann, A., Chappard, C., Ducros, N., Peyrin, F. (2020). Convolutional Neural Network for Material Decomposition in Spectral CT Scans..
Carlisle, N., Glazewska-Hallin, A., Story, L., Carter, J., Seed, P.T., Suff, N., ...Rutherford, M. (2020). CRAFT (Cerclage after full dilatation caesarean section): protocol of a mixed methods study investigating the role of previous in-labour caesarean section in preterm birth risk. BMC Pregnancy and Childbirth, 20 (1), doi:10.1186/s12884-020-03375-z
Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J., ...Kokkinos, I. (2020). Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results.. Neuroimage, 117128. doi:10.1016/j.neuroimage.2020.117128
Slator, P., Hutter, J., Marinescu, R., Palombo, M., Jackson, L., Ho, A., ...Alexander, D. (2020). Data-Driven Multi-Contrast Spectral Microstructure Imaging with InSpect.
Grussu, F., Battiston, M., Palombo, M., Schneider, T., Gandini Wheeler-Kingshott, C., Alexander, D. (2020). Deep learning model fitting for diffusion-relaxometry: a comparative study. .
Fu, Y., Brown, N., Saeed, S., Casamitjana, A., Baum, Z., Delaunay, R., ...Blumberg, S. (2020). DeepReg: a deep learning toolkit for medical image registration. Journal of Open Source Software, 5 (55), 2705. doi:10.21105/joss.02705
Kimpton, J.A., Batalle, D., Barnett, M.L., Hughes, E.J., Chew, A.T.M., Falconer, S., ...Edwards, A.D. (2020). Diffusion magnetic resonance imaging assessment of regional white matter maturation in preterm neonates. Neuroradiology, doi:10.1007/s00234-020-02584-9
Gyori, N., Hall, M., Clark, C., Alexander, D., Kaden, E. (2020). Discrepancy between In-vivo Measurements and Monte-Carlo Simulations with Spherical Structures in B-tensor Encoding.
Zhang, L., Tanno, R., Xu, M.C., Jin, C., Jacob, J., Ciccarelli, O., ...Alexander, D.C. (2020). Disentangling human error from the ground truth in segmentation of medical images.
PAPADIMITRIOU, K.I., ROSAS, E.E.V., ZHANG, E., COOPER, R.J., HEBDEN, J.C., ARRIDGE, S.R., POWELL, S. (2020). Dual wavelength spread-spectrum time-resolved diffuse optical instrument for the measurement of human brain functional responses. Biomedical Optics Express, 11 (7), 3477-3490. doi:10.1364/BOE.393586
Macdonald, C., Arridge, S., Powell, S. (2020). Efficient inversion strategies for estimating optical properties with Monte Carlo radiative transport models. Journal of biomedical optics, 25 (8), doi:10.1117/1.JBO.25.8.085002
Figini, M., Castellano, A., Pieri, V., Bouyagoub, S., Falini, A., Alexander, D., ...Panagiotaki, E. (2020). Estimation of the vascular fraction in brain tumors by VERDICT correlated with Perfusion MRI.
Tran, E.H., Eiben, B., Wetscherek, A., Oelfke, U., Meedt, G., Hawkes, D.J., McClelland, J.R. (2020). Evaluation of MRI-derived surrogate signals to model respiratory motion. Biomedical Physics & Engineering Express, doi:10.1088/2057-1976/ab944c
Gabel, M.C., Broad, R.J., Young, A.L., Abrahams, S., Bastin, M.E., Menke, R.A.L., ...Alexander, D.C. (2020). Evolution of white matter damage in amyotrophic lateral sclerosis.. Ann Clin Transl Neurol, doi:10.1002/acn3.51035
Jin, C., Tanno, R., Xu, M., Mertzanidou, T., Alexander, D.C. (2020). Foveation for Segmentation of Mega-Pixel Histology Images.
Jin, C., Tanno, R., Xu, M., Mertzanidou, T., Alexander, D.C. (2020). Foveation for Segmentation of Ultra-High Resolution Images.
Ianuş, A., Santiago, I., Galzerano, A., Montesinos, P., Loução, N., Sanchez-Gonzalez, J., ...Shemesh, N. (2020). Higher‐order diffusion MRI characterization of mesorectal lymph nodes in rectal cancer. Magnetic Resonance in Medicine, doi:10.1002/mrm.28102
Gyori, N., Dragonu, I., Clark, C., Alexander, D., Kaden, E. (2020). High-Resolution Neural Soma Imaging with FLAIR: Eliminating CSF Contamination in Grey Matter.
Figini, M., Lin, H., Ogbole, G., Arco, F.D., Blumberg, S.B., Carmichael, D.W., ...Lagunju, I. (2020). Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.
Callaghan, R., Alexander, D.C., Palombo, M., Zhang, H. (2020). Improved contextual fibre growth for generating white matter numerical phantoms with realistic microstructure.
Kolehmainen, V., Ehrhardt, M.J., Arridge, S.R. (2020). INCORPORATING STRUCTURAL PRIOR INFORMATION AND SPARSITY INTO EIT USING PARALLEL LEVEL SETS [1] (vol 13, pg 285, 2019). INVERSE PROBLEMS AND IMAGING, 14 (2), 399. doi:10.3934/ipi.2020018
Twyman, R., Arridge, S., Hutton, B.F., Emond, E.C., Brusaferri, L., Ahn, S., Thielemans, K. (2020). Iterative PET Image Reconstruction using Adaptive Adjustment of Subset Size and Random Subset Sampling.
Brusaferri, L., Bousse, A., Emond, E., Brown, R., Tsai, Y.-.J., Atkinson, D., ...Arridge, S. (2020). Joint Activity and Attenuation Reconstruction from Multiple Energy Window Data with Photopeak Scatter Re-Estimation in non-TOF 3D PET. IEEE Transactions on Radiation and Plasma Medical Sciences, 1. doi:10.1109/trpms.2020.2978449
Usman, M., Kakkar, L., Matakos, A., KIRKHAM, A., Arridge, S., Atkinson, D. (2020). Joint B0 and image estimation integrated with model based reconstruction for field map update and distortion correction in prostate diffusion MRI. Magnetic Resonance Imaging, 65 90-99. doi:10.1016/j.mri.2019.09.008
Brusaferri, L., Emond, E.C., Atkinson, D., Ourselin, S., Hutton, B.F., Arridge, S., Thielemans, K. (2020). Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities.
Tanno, R., Saeedi, A., Sankaranarayanan, S., Alexander, D.C., Silberman, N. (2020). Learning from noisy labels by regularized estimation of annotator confusion.
Xu, M., Oxtoby, N., Alexander, D.C., Jacob, J. (2020). Learning To Pay Attention To Mistakes..
Zhang∗, L., Tanno, R., Bronik, K., Jin, C., Nachev, P., Barkhof, F., ...Alexander, D. (2020). Learning to Segment When Experts Disagree.
Wijeratne, P., Alexander, D. (2020). Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression.
Rodrigues, F., Byrne, L., Tortelli, R., Johnson, E., Wijeratne, P., Arridge, M., ...Schobel, S. (2020). Longitudinal dynamics of mutant huntingtin and neurofilament light in Huntington's disease: the prospective HD-CSF study.
Rodrigues, F.B., Byrne, L.M., Tortelli, R., Johnson, E.B., Wijeratne, P.A., Arridge, M., ...Schobel, S. (2020). Longitudinal Dynamics of Mutant Huntingtin and Neurofilament Light in Huntington's Disease: the Prospective HD-CSF Study.
Rodrigues, F.B., Byrne, L., Tortelli, R., Johnson, E., Wijeratne, P., Arridge, M., ...Schobel, S. (2020). Longitudinal dynamics of mutant huntingtin and neurofilament light in Huntington's disease: the prospective HD-CSF study. WILEY.
Abascal, J.F.P.J., Ducros, N., Pronina, V., Bussod, S., Hauptmannz, A., Arridge, S.R., ...Peyrin, F. (2020). Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach..
Breen-Norris, J.O., Siow, B., Walsh, C., Hipwell, B., Hill, I., Roberts, T., ...Alexander, D.C. (2020). Measuring diffusion exchange across the cell membrane with DEXSY (Diffusion Exchange Spectroscopy). Magnetic Resonance in Medicine, doi:10.1002/mrm.28207
Kaden, E., Gyori, N.G., Rudrapatna, S.U., Barskaya, I.Y., Dragonu, I., Does, M.D., ...Alexander, D.C. (2020). Microscopic susceptibility anisotropy imaging. Magn Reson Med, doi:10.1002/mrm.28303
Grussu, F., Battiston, M., Veraart, J., Schneider, T., Cohen-Adad, J., Shepherd, T.M., ...Gandini Wheeler-Kingshott, C.A.M. (2020). Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising.. NeuroImage, 116884. doi:10.1016/j.neuroimage.2020.116884
Hauptmann, A., Adler, J., Arridge, S.R., Oktem, O. (2020). Multi-Scale Learned Iterative Reconstruction. IEEE Transactions on Computational Imaging, 1. doi:10.1109/tci.2020.2990299
Brogueira Rodrigues, F., Byrne, L., Tortelli, R., Johnson, E., Wijeratne, P., De Vita, E., ...Alexander, D. (2020). Mutant huntingtin and neurofilament light have distinct longitudinal dynamics in Huntington’s disease. Science Translational Medicine, doi:10.1126/scitranslmed.abc2888
Gregory, S., Wijeratne, P.A., Osborne-Crowley, K., Johnson, E.B., Zeun, P., Scahill, R.I., ...Langley, C. (2020). Neural Connectivity as a Substrate for Behavioral Compensation in Premanifest HD.
Roberts, T.A., Hyare, H., Agliardi, G., Hipwell, B., d'Esposito, A., Ianus, A., ...Atkinson, D. (2020). Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response.. Sci Rep, 10 (1), 9223. doi:10.1038/s41598-020-65956-4
Brusaferri, L., Emond, E.C., Bousse, A., Twyman, R., Atkinson, D., Hutton, B.F., ...Thielemans, K. (2020). Normalisation Factor Estimation in Non-TOF 3D PET from Multiple-Energy Window Data.
Zhang, G., Guan, Z., Korot, E., Chopra, R., Moraes, G., Wagner, S., ...Ferraz, D.A. (2020). Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning.
Lillington, J., Brusaferri, L., Klaser, K., Shmueli, K., Neji, R., Hutton, B., ...Ourselin, S. (2020). PET/MRI Attenuation estimation in the lung: A review of past, present, and potential techniques. Medical Physics, doi:10.1002/mp.13943
Nguyen, M., He, T., An, L., Alexander, D.C., Feng, J., Yeo, B.T.T. (2020). Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage, 222 doi:10.1016/j.neuroimage.2020.117203
Schonlieb, C.-.B., Hintermueller, M., Arridge, S. (2020). Preface Preface for the special issue 'Variational methods and effective algorithms for imaging and vision'. INVERSE PROBLEMS, 36 (11), doi:10.1088/1361-6420/abb8e9
Arridge, S.R., Burger, M., Ehrhardt, M.J. (2020). Preface to special issue on joint reconstruction and multi-modality/multi-spectral imaging. INVERSE PROBLEMS, 36 (2), doi:10.1088/1361-6420/ab4abb
Pascuzzo, R., Oxtoby, N.P., Young, A.L., Blevins, J., Castelli, G., Garbarino, S., ...Appleby, B.S. (2020). Prion propagation estimated from brain diffusion MRI is subtype dependent in sporadic Creutzfeldt–Jakob disease. Acta Neuropathologica, 1-13. doi:10.1007/s00401-020-02168-0
Kaupinmäki, S., Cox, B., Arridge, S.R., Baker, C., Sinden, D., Zeqiri, B. (2020). Pyroelectric ultrasound sensor model: directional response. Measurement Science and Technology, doi:10.1088/1361-6501/abc866
Barbano, R., Kereta, Ž., Zhang, C., Hauptmann, A., Arridge, S., Jin, B. (2020). Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction.
O’Connor, A., Weston, P.S.J., Pavisic, I.M., Ryan, N.S., Collins, J.D., Lu, K., ...Oxtoby, N.P. (2020). Quantitative detection and staging of presymptomatic cognitive decline in familial Alzheimer’s disease: a retrospective cohort analysis. Alzheimer's Research and Therapy, 12 1-9. doi:10.1186/s13195-020-00695-2
Ricciardi, A., Grussu, F., Prados, F., Kanber, B., Samson, R., Wheeler-Kingshott, C., ...Alexander, D. (2020). QuaSI-MTR (qualitative scans for imaging MTR): deep-learned MTR from routine scans using U-nets.
Steeden, J.A., Quail, M., Gotschy, A., Mortensen, K.H., Hauptmann, A., Arridge, S., ...Muthurangu, V. (2020). Rapid whole-heart CMR with single volume super-resolution.. J Cardiovasc Magn Reson, 22 (1), 56. doi:10.1186/s12968-020-00651-x
Ramalhinho, J., Tregidgo, H.F.J., Gurusamy, K., Hawkes, D.J., Davidson, B., Clarkson, M.J. (2020). Registration of Untracked 2D Laparoscopic Ultrasound to CT Images of the Liver using Multi-Labelled Content-Based Image Retrieval.. IEEE Trans Med Imaging, PP doi:10.1109/TMI.2020.3045348
Palombo, M., Singh, S., Whitaker, H., Punwani, S., Alexander, D., Panagiotaki, E. (2020). Relaxed-VERDICT: decoupling relaxation and diffusion for comprehensive microstructure characterization of prostate cancer..
Lila, E., Arridge, S.R., Aston, J. (2020). Representation and reconstruction of covariance operators in linear inverse problems. Inverse Problems, doi:10.1088/1361-6420/ab8713
Wijeratne, P.A., Johnson, E.B., Eshaghi, A., Aksman, L., Gregory, S., Johnson, H.J., ...Georgiou-Karistianis, N. (2020). Robust markers and sample sizes for multi-centre trials of Huntington's disease.. Ann Neurol, doi:10.1002/ana.25709
Palombo, M., Ianus, A., Guerreri, M., Nunes, D., Alexander, D.C., Shemesh, N., Zhang, H. (2020). SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI.. Neuroimage, 116835. doi:10.1016/j.neuroimage.2020.116835
Grussu, F., Blumberg, S., Battiston, M., Ianus, A., Singh, S., Gong, F., ...Punwani, S. (2020). SARDU-Net: a new method for model-free, data-driven experiment design in quantitative MRI.
Firth, N.C., Primativo, S., Brotherhood, E., Young, A.L., Yong, K.X.X., Crutch, S.J., ...Oxtoby, N.P. (2020). Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event-based model of disease progression.. Alzheimers Dement, doi:10.1002/alz.12083
Di Sieno, L., Dalla Mora, A., Ferocino, E., Pifferi, A., Tosi, A., Conca, E., ...Tisa, S. (2020). SOLUS project: Bringing innovation into breast cancer diagnosis and in the time-domain diffuse optical field.
Bragman, F.J.S., Tanno, R., Ourselin, S., Alexander, D.C., Cardoso, M.J. (2020). Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.
Twyman, R., Arridge, S., Jin, B., Hutton, B.F., Brusaferri, L., Thielemans, K. (2020). Stochastic Variance Reduction Optimisation Algorithms Applied to Iterative PET Reconstruction.
Aksman, L., Oxtoby, N., Scelsi, M., Wijeratne, P., Young, A., Lopes Alves, I., ...Altmann, A. (2020). Tau-first subtype of Alzheimer's disease consistently identified across in vivo and post mortem studies. .
Marinescu, R.V., Oxtoby, N.P., Young, A.L., Bron, E.E., Toga, A.W., Weiner, M.W., ...Toni, T. (2020). The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up.
Hu, Y., Jacob, J., Parker, G.J.M., Hawkes, D.J., Hurst, J.R., Stoyanov, D. (2020). The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. Nature Machine Intelligence, doi:10.1038/s42256-020-0185-2
Rangelov, B.A., Young, A.L., Jacob, J., Cahn, A.P., Lee, S., Wilson, F.J., ...Hurst, J.R. (2020). Thoracic Imaging at Exacerbation of Chronic Obstructive Pulmonary Disease: A Systematic Review. International Journal of Chronic Obstructive Pulmonary Disease, Volume 15 1751-1787. doi:10.2147/copd.s250746
Rangelov, B., Young, A.L., Jacob, J., Cahn, A.P., Lee, S., Wilson, F.J., ...Hurst, J.R. (2020). Thoracic Imaging at Exacerbation of Chronic Obstructive Pulmonary Disease: A Systematic Review.
Kakkar, L., Usman, M., KIRKHAM, A., Arridge, S., Atkinson, D. (2020). Towards the clinical application of model‐based reconstruction framework for distortion correction in prostate diffusion weighted MRI.
Planell-Morell, P., Bajekal, M., Denaxas, S., Raine, R., Alexander, D.C. (2020). Trajectories of Disease Accumulation Using Electronic Health Records.. Stud Health Technol Inform, 270 469-473. doi:10.3233/SHTI200204
Jacob, J., Alexander, D., Baillie, J.K., Berka, R., Bertolli, O., Blackwood, J., ...Docherty, A. (2020). Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database.. Eur Respir J, doi:10.1183/13993003.01809-2020
Alexander, N., Alexander, D.C., Barkhof, F., Denaxas, S. (2020). Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.. Stud Health Technol Inform, 270 499-503. doi:10.3233/SHTI200210
Singh, S., Rogers, H., Johnston, E., Kanber, B., Moore, C., Atkinson, D., ...Punwani, S. (2020). VERDICT MRI fractional intracellular volume assessment could help avoid unnecessary biopsies in men assessed for prostate cancer with multi-parametric MRI.

2019

Papadimitriou, K., Hebden, J., Arridge, S., Powell, S. (2019). A dual-wavelength spread spectrum-based spectroscopic system For time-domain near-infrared diffuse optical imaging.
Palombo, M., Alexander, D.C., Zhang, H. (2019). A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage, 188 391-402. doi:10.1016/j.neuroimage.2018.12.025
Powell, S., Cox, B.T., Arridge, S.R. (2019). A pseudospectral method for solution of the radiative transport equation. JOURNAL OF COMPUTATIONAL PHYSICS, 384 376-382. doi:10.1016/j.jcp.2019.01.024
Kelly, C.J., Christiaens, D., Batalle, D., Makropoulos, A., Cordero-Grande, L., Steinweg, J.K., ...Victor, S. (2019). Abnormal Microstructural Development of the Cerebral Cortex in Neonates With Congenital Heart Disease Is Associated With Impaired Cerebral Oxygen Delivery.. J Am Heart Assoc, 8 (5), e009893. doi:10.1161/JAHA.118.009893
Tanno, R., Arulkumaran, K., Alexander, D.C., Criminisi, A., Nori, A. (2019). Adaptive neural trees.
Tsai, Y.J., Bousse, A., Ahn, S., Stearns, C.W., Arridge, S., Hutton, B.F., Thielemans, K. (2019). Algorithms for Solving Misalignment Issues in Penalized PET/CT Reconstruction Using Anatomical Priors.
Farina, A., Betcke, M., Bassi, A., Valentini, G., Arridge, S., D'Andrea, C. (2019). An adaptive scheme for diffuse-optical tomography based on combined structured-light illumination and single-pixel camera detection.
Djurabekova, N., Goldberg, A., Hauptmann, A., Hawkes, D., Long, G., Lucka, F., Betcke, M. (2019). Application of Proximal Alternating Linearized Minimization (PALM) and inertial PALM to dynamic 3D CT.
Eshaghi, A., Kievit, R.A., Prados Carrasco, F., Sudre, C., Nicholas, J., Cardoso, M.J., ...Greenwood, J. (2019). Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis.. PNAS,
Tsai, Y.-.J., Schramm, G., Ahn, S., Bousse, A., Arridge, S., Nuyts, J., ...Thielemans, K. (2019). Benefits of Using a Spatially-variant Penalty Strength with Anatomical Priors in PET Reconstruction. IEEE Trans Med Imaging, doi:10.1109/TMI.2019.2913889
Marinescu, R.V., Eshaghi, A., Alexander, D.C., Golland, P. (2019). BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes.
Grussu, F., Battiston, M., Prados Carrasco, F.E.R.R.A.N., Schneider, T.O.R.B.E.N., Kaden, E.N.R.I.C.O., Samson, R.E.B.E.C.C.A., ...Wheeler-Kingshott, C.L.A.U.D.I.A. (2019). Clinically viable g-ratio imaging with unified readout at 3T: evaluation and comparison.
Slator, P., Hutter, J., Palombo, M., Jackson, L., Panagiotaki, E., Ho, A., ...Alexander, D. (2019). Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta.
Slator, P., Hutter, J., Palombo, M., Jackson, L.H., Ho, A., Panagiotaki, E., ...Alexander, D. (2019). Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta. Magnetic Resonance in Medicine, doi:10.1002/mrm.27733
Callaghan, R., Alexander, D., Zhang, H., Palombo, M. (2019). Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation.
Callaghan, R., Alexander, D.C., Zhang, H., Palombo, M. (2019). Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation. In Chung, A., Gee, J., Yushkevich, P. (Eds.), Information processing in medical imaging - IPMI 2019. (pp. 429-440). Springer.
Tax, C.M., Grussu, F., Kaden, E., Ning, L., Rudrapatna, U., Evans, J., ...Merhof, D. (2019). Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.. Neuroimage, doi:10.1016/j.neuroimage.2019.01.077
Ravi, D., Ghavami, N., Alexander, D.C., Ianus, A. (2019). Current Applications and Future Promises of Machine Learning in Diffusion MRI.
Lin, H., Figini, M., Tanno, R., Blumberg, S.B., Kaden, E., Ogbole, G., ...Lagunju, I. (2019). Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.
Ravi, D., Alexander, D.C., Oxtoby, N.P. (2019). Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. In Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., ...Khan, A. (Eds.), (pp. 164-172). SPRINGER INTERNATIONAL PUBLISHING AG.
Ravì, D., Alexander, D.C., Oxtoby, N.P. (2019). Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression..
Garbarino, S., Lorenzi, M., Oxtoby, N.P., Vinke, E.J., Marinescu, R.V., Eshaghi, A., ...Barkhof, F. (2019). Differences in topological progression profile among neurodegenerative diseases from imaging data.. Elife, 8 doi:10.7554/eLife.49298
Marinescu, R.V., Lorenzi, M., Blumberg, S.B., Young, A.L., Planell-Morell, P., Oxtoby, N.P., ...Golland, P. (2019). Disease Knowledge Transfer Across Neurodegenerative Diseases.
Young, A.L., Bragman, F.J.S., Rangelov, B., Han, M., Galbán, C.J., Lynch, D.A., ...COPDGene, I.n.v.e.s.t.i.g.a.t.o.r.s. (2019). Disease Progression Modelling in Chronic Obstructive Pulmonary Disease (COPD).. Am J Respir Crit Care Med, doi:10.1164/rccm.201908-1600OC
Young, A.L., Bragman, F.J.S., Rangelov, B., Han, M., Galbán, C.J., Lynch, D.A., ...COPDGene, I.n.v.e.s.t.i.g.a.t.o.r.s. (2019). Disease Progression Modelling in Chronic Obstructive Pulmonary Disease (COPD).. Am J Respir Crit Care Med, doi:10.1164/rccm.201908-1600OC
Marinescu, R.V., Eshaghi, A., Lorenzi, M., Young, A.L., Oxtoby, N.P., Garbarino, S., ...Alexander, D.C. (2019). DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.. CoRR, abs/1901.03553
Marinescu, R.V., Eshaghi, A., Lorenzi, M., Young, A.L., Oxtoby, N.P., Garbarino, S., ...Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2019). DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.. Neuroimage, doi:10.1016/j.neuroimage.2019.02.053
Ianus, A., Callaghan, R., Alexander, D., Zhang, H., Palombo, M. (2019). Effect of cell complexity and size on diffusion MRI signal: a simulation study.
Schneider, C., Thompson, S., Gurusamy, K., Stoyanov, D., Hawkes, D.J., Clarkson, M.J., Davidson, B.R. (2019). Evaluation of an augmented reality based image guidance system for laparoscopic liver surgery.
Rodrigues, F.B., Byrne, L.M., Johnson, E., Wijeratne, P., de Vita, E., Alexander, D., ...Scahill, R. (2019). Evaluation of mutant huntingtin and neurofilament proteins as potential markers in Huntington's disease.
Jin, B., Arridge, S., Zhang, C. (2019). Expectation propagation for Poisson data. Inverse Problems, doi:10.1088/1361-6420/ab15a3
Di Sciacca, G., Ferocino, E., Farina, A., Pifferi, A., Taroni, P., Arridge, S. (2019). Fitting a spectral model for component analysis in diffuse optical tomography.
Pecheva, D., Tournier, J.D., Pietsch, M., Christiaens, D., Batalle, D., Alexander, D.C., ...Counsell, S.J. (2019). Fixel-based analysis of the preterm brain: Disentangling bundle-specific white matter microstructural and macrostructural changes in relation to clinical risk factors. NeuroImage: Clinical, 23 doi:10.1016/j.nicl.2019.101820
Palombo, M., Nunes, D., Alexander, D., Zhang, H., Shemesh, N. (2019). Histological validation of the brain cell body imaging with diffusion MRI at ultrahigh field.
Cochran, J.M., Busch, D.R., Lin, L., Minkoff, D.L., Schweiger, M., Arridge, S., Yodh, A.G. (2019). Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging. Journal of biomedical optics, 24 (5), 1-11. doi:10.1117/1.JBO.24.5.051409
Nai, Y., Schaefferkoetter, J.D., Fakhry-Darian, D., Conti, M., Shi, X., Townsend, D.W., ...Reilhac, A. (2019). Improving Lung Lesion Detection in Low Dose Positron Emission Tomography Images Using Machine Learning.
Palombo, M., Figini, M., Pascuzzo, R., Caroppo, P., Verri, M., Schneider, T., ...Zhang, H. (2019). Improving strain diagnosis of prion disease by diffusion MRI and biophysical modelling.
Bertholet, J., Eiben, B., Menten, M., Tran, E.H., Hawkes, D.J., Wetscherek, A., ...Oelfke, U. (2019). In silico validation of motion-including dose reconstruction for MR-guided lung SBRT using a patient specific motion model.
Christiaens, D., Slator, P., Cordero-Grande, L., PRICE, A., Deprez, M., Alexander, D., ...Hutter, J. (2019). In utero diffusion MRI: challenges, advances, and applications. Topics in Magnetic Resonance Imaging, doi:10.1097/RMR.0000000000000211
Kolehmainen, V., Ehrhardt, M.J., Arridge, S.R. (2019). Incorporating structural prior information and sparsity into EIT using parallel level sets. Inverse Problems and Imaging, 13 (2), 285-307. doi:10.3934/ipi.2019015
Slator, P., Hutter, J., Marinescu, R., Palombo, M., Young, A., Jackson, L., ...Hajnal, J. (2019). InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-Contrast Microstructural MRI.
Gyori, N., Clark, C.A., Dragonu, I., Alexander, D.C., Kaden, E. (2019). In-vivo Neural Soma Imaging Using B-tensor Encoding and Deep Learning.
Hutter, J., Slator, P., Jackson, L., Ho, A., McCabe, L., Story, L., ...Rutherford, M. (2019). Joint T2*-Diffusion MRI to assess microstructure and oxygenation simultaneously in the human placenta.
Bragman, F.J.S., Tanno, R., Ourselin, S., Alexander, D.C., Cardoso, M.J. (2019). Learning task-specific and shared representations in medical imaging.
Byrne, L.M., Brogueira Rodrigues, F., Tortelli, R., Johnson, E., Wijeratne, P., Wylezinska-Arridge, M., ...Scahill, R. (2019). Longitudinal Evaluation of Mutant Huntingtin and Neurofilament Light as Biomarkers for Huntington’s Disease: The HD-CSF Study 24-month Analysis.
Rodrigues, F.B., Byrne, L., Johnson, E., Tortelli, R., Wijeratne, P., De Vita, E., ...Scahill, R. (2019). Longitudinal evaluation of mutant huntingtin and neurofilament light as biomarkers for Huntington's disease: the HD-CSF study.
Firth, N.C., Primativo, S., Marinescu, R.-.V., Shakespeare, T.J., Suarez-Gonzalez, A., Lehmann, M., ...Paterson, R.W. (2019). Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy.. Brain, doi:10.1093/brain/awz136
Brusaferri, L., Bousse, A., Tsai, Y.J., Atkinson, D., Ourselin, S., Hutton, B.F., ...Thielemans, K. (2019). Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements.
Usman, M., Matakos, A., Kakkar, L., Arridge, S., Atkinson, D. (2019). Model based joint B0 and image estimation framework for dynamic field mapping and signal pile-up correction in prostate diffusion MRI.
Aksman, L., Scelsi, M., Marquand, A., Alexander, D., Ourselin, S., Altmann, A. (2019). Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning. Human Brain Mapping, doi:10.1002/hbm.24682
Quan, K., Tanno, R., Duong, M., Nair, A., Shipley, R., Jones, M., ...Jacob, J. (2019). Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection.
Bertholet, J., Eiben, B., Menten, M.J., Tran, E.H., Hawkes, D.J., Nill, S., ...Oelfke, U. (2019). Motion-including dose reconstruction on 4DCT or patient-specific motion models validated on a time-resolved ground truth.
Tran, E.H., Eiben, B., Wetscherek, A., Oelfke, U., Meedt, G., Hawkes, D.J., McClelland, J.R. (2019). MR-derived signals for respiratory motion models evaluated using sagittal and coronal datasets.
Ferocino, E., Pifferi, A., Arridge, S., Martelli, F., Taroni, P., Farina, A. (2019). Multi Simulation Platform for Time Domain Diffuse Optical Tomography: An Application to a Compact Hand-Held Reflectance Probe. APPLIED SCIENCES-BASEL, 9 (14), doi:10.3390/app9142849
Grussu, F., Battiston, M., Veraart, J., Schneider, T., Cohen-Adad, J., Shepherd, T., ...Wheeler-Kingshott, C.G. (2019). Multi-parametric quantitative spinal cord MRI with unified signal readout and image denoising. .
Blumberg, S.B., Palombo, M., Khoo, C.S., Tax, C.M.W., Tanno, R., Alexander, D.C. (2019). Multi-stage prediction networks for data harmonization.
Archetti, D., Ingala, S., Venkatraghavan, V., Wottschel, V., Young, A.L., Bellio, M., ...Alexander, D.C. (2019). Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease.. Neuroimage Clin, 24 101954. doi:10.1016/j.nicl.2019.101954
Ferocino, E., Di Sciacca, G., Di Sieno, L., Dalla Mora, A., Pifferi, A., Arridge, S., ...Farina, A. (2019). Multi-wavelength time domain diffuse optical tomography for breast cancer: Initial results on silicone phantoms.
Ricciardi, A., Grussu, F., Battiston, M., Prados Carrasco, F., Kanber, B., Samson, R., ...Wheeler-Kingshott, C. (2019). Myelin-sensitive indices in multiple sclerosis: the unseen qualities of qualitative clinical MRI.
Arridge, S., Hauptmann, A. (2019). Networks for Nonlinear Diffusion Problems in Imaging. Journal of Mathematical Imaging and Vision, doi:10.1007/s10851-019-00901-3
Lacher, R.M., Vasconcelos, F., Williams, N., Rindermann, G., Hipwell, J., Hawkes, D., Stoyanov, D. (2019). Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation. Medical Image Analysis, 53 11-25. doi:10.1016/j.media.2019.01.003
Farina, A., Candeo, A., Dalla Mora, A., Bassi, A., Lussana, R., Villa, F., ...D’Andrea, C. (2019). Novel time-resolved camera based on compressed sensing. Optics Express, 27 (22), 31889-31899. doi:10.1364/OE.27.031889
Lorenzi, M., Filippone, M., Frisoni, G.B., Alexander, D.C., Ourselin, S., Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2019). Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.. NeuroImage, doi:10.1016/j.neuroimage.2017.08.059
Bagnato, F., Franco, G., Li, H., Kaden, E., Ye, F., Fan, R., ...Dortch, R. (2019). Probing axons using multi-compartmental diffusion in multiple sclerosis. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.50836
Collorone, S., Cawley, N., Grussu, F., Prados, F., Tona, F., Calvi, A., ...Zhang, H. (2019). Reduced neurite density in the brain and cervical spinal cord in relapsing-remitting multiple sclerosis: A NODDI study.. Mult Scler, 1352458519885107. doi:10.1177/1352458519885107
Ramalhinho, J., Tregidgo, H., Allam, M., Travlou, N., Gurusamy, K., Davidson, B., ...Clarkson, M. (2019). Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors.
Quan, K., Tanno, R., Shipley, R.J., Brown, J.S., Jacob, J., Hurst, J.R., Hawkes, D.J. (2019). Reproducibility of an airway tapering measurement in computed tomography with application to bronchiectasis. Journal of Medical Imaging, 6 (3), doi:10.1117/1.JMI.6.3.034003
Tran, E.H., Eiben, B., Wetscherek, A., Oelfke, U., Meedt, G., Hawkes, D., McClelland, J. (2019). Respiratory motion models built using MR-derived signals and different amounts of MR image data from multi-slice acquisitions.
Johnson, D., Ricciardi, A., Brownlee, W., Kanber, B., Prados Carrasco, F., Collorone, S., ...Wheeler-Kingshott, C. (2019). Sensitivity of NODDI and two-compartment SMT parameter maps in multiple sclerosis.
Huynh, N., Lucka, F., Zhang, E., Betcke, M., Arridge, S.R., Beard, P.C., Cox, B.T. (2019). Single-pixel camera photoacoustic tomography. Journal of Biomedical Optics, 24 (12), 1-6. doi:10.1117/1.JBO.24.12.121907
Arridge, S., Maass, P., Öktem, O., Schönlieb, C.B. (2019). Solving inverse problems using data-driven models. Acta Numerica, 28 1-174. doi:10.1017/S0962492919000059
Macdonald, C.M., Arridge, S.R., Munro, P.R.T. (2019). Solving the Inverse Problem in OCT using Full-Wave Adjoint Models.
Ferocino, E., Di Sciacca, G., Di Sieno, L., Dalla Mora, A., Pifferi, A., Arridge, S., ...Farina, A. (2019). Spectral approach to time domain diffuse optical tomography for breast cancer: Validation on meat phantoms.
Eshaghi, A., Young, A., Wijeratne, P., Prados, F., Kapoor, R., Chataway, J., ...Thompson, A.J. (2019). Subtyping and staging progressive MS using MRI.
Wottschel, V., Chard, D.T., Enzinger, C., Filippi, M., Frederiksen, J.L., Gasperini, C., ...De Stefano, N. (2019). SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of Multiple Sclerosis. NeuroImage: Clinical, 102011. doi:10.1016/j.nicl.2019.102011
Marinescu, R.V., Oxtoby, N.P., Young, A.L., Bron, E.E., Toga, A.W., Weiner, M.W., ...Klein, S. (2019). TADPOLE challenge: Accurate alzheimer’s disease prediction through crowdsourced forecasting of future data.
Donaldson, I.A., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Tranter, P., ...Van Der Meulen, J. (2019). The SmartTarget biopsy trial: a prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and magnetic resonance imaging/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification. European Urology, doi:10.1016/j.eururo.2018.08.007
Gyori, N., Seunarine, K.K., Hall, M.G., Clark, C.A., Alexander, D.C., Kaden, E. (2019). Time Dependence in B-Tensor Encoding.
Mertzanidou, T., Calvert, N., Tuch, D.S., Stoyanov, D., Arridge, S.R. (2019). Tomosynthesis method for depth resolution of beta emitters.
Callaghan, R., Shemesh, N., Alexander, D., Zhang, H., Palombo, M. (2019). Towards a more realistic and flexible white matter numerical phantom generator for diffusion MRI simulation.
Tanno, R., Worrall, D., Kaden, E., Ghosh, A., Grussu, F., Bizzi, A., ...Alexander, D.C. (2019). Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement.
Breen-Norris, J., Siow, B., Hipwell, B., Roberts, T., Lythgoe, M., Ianus, A., ...Walker-Samuel, S. (2019). Using Diffusion-Diffusion Exchange Spectroscopy to observe diffusion exchange in yeast. Diffusion Fundamentals, 31 1-5.
Bertholet, J., Eiben, B., Menten, M.J., Tran, E.H., Hawkes, D.J., Nill, S., ...Oelfke, U. (2019). Validation of motion-including dose reconstruction on a ground-truth time-resolved moving anatomy.
Johnston, E.W., Bonet-Carne, E., Ferizi, U., Yvernault, B., Pye, H., Patel, D., ...Sidhu, H.S. (2019). VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient.. Radiology, 291 391-397. doi:10.1148/radiol.2019181749
Johnston, E.W., Bonet-Carne, E., Ferizi, U., Yvernault, B., Pye, H., Patel, D., ...Sidhu, H.S. (2019). VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient.. Radiology, 291 391-397. doi:10.1148/radiol.2019181749
Bailey, C., Bourne, R.M., Siow, B., Johnston, E.W., Brizmohun Appayya, M., Pye, H., ...Freeman, A. (2019). VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.. NMR Biomed, e4073. doi:10.1002/nbm.4073
Bailey, C., Bourne, R.M., Siow, B., Johnston, E.W., Brizmohun Appayya, M., Pye, H., ...Freeman, A. (2019). VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.. NMR Biomed, e4073. doi:10.1002/nbm.4073

2018

Allan, M., Ourselin, S., Hawkes, D.J., Kelly, J.D., Stoyanov, D. (2018). 3D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2018.2794439
Atkinson, D., Usman, M., Kakkar, L.S., Arridge, S.R. (2018). 5652 Geometry in MR Reconstruction.
Palombo, M., Shemesh, N., Ianus, A., Alexander, D., Zhang, H. (2018). A compartment based model for non-invasive cell body imaging by diffusion MRI.
Slator, P., Hutter, J., Ianus, A., Panagiotaki, E., Rutherford, M., Hajnal, J., Alexander, D. (2018). A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and an Application in the Placenta. In Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F., Tax, C. (Eds.), 2018 MICCAI Workshop on Computational Diffusion MRI (CDMRI’18). Springer.
Banerjee, J., Patel, P.A., Ushakov, F., Peebles, D., Deprest, J., Ourselin, S., ...Vercauteren, T. (2018). A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography.
Ramalhinho, J., Robu, M.R., Thompson, S.A., Gurusamy, K., Davidson, B.R., Hawkes, D.J., ...Clarkson, M.J. (2018). A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images. International Journal of Computer Assisted Radiology and Surgery, 13 1177-1186. doi:10.1007/s11548-018-1799-2
Papadimitriou, K., Dempsey, L.A., Hebden, J.C., Arridge, S.R., Powell, S. (2018). A spread spectrum approach to time-domain near-infrared diffuse optical imaging using inexpensive optical transceiver modules. Biomedical Optics Express, doi:10.1364/BOE.9.002648
Grussu, F., Battiston, M., Veraart, J., Schneider, T., Cohen-Adad, J., Cardoso, M.J., ...Wheeler-Kingshott, C. (2018). A unified signal readout improves denoising of multi-modal spinal cord MRI.
Palombo, M., Shemesh, N., Ianus, A., Alexander, D., Zhang, H. (2018). Abundance of cell bodies can explain the stick model’s failure in grey matter at high bvalue.
Simmons, L.A.M., Kanthabalan, A., Arya, M., Briggs, T., Barratt, D., Charman, S.C., ...Hu, Y. (2018). Accuracy of Transperineal Targeted Prostate Biopsies, Visual Estimation and Image Fusion in Men Needing Repeat Biopsy in the PICTURE Trial. The Journal of urology, doi:10.1016/j.juro.2018.07.001
Ianuş, A., Jespersen, S.N., Duarte, T.S., Alexander, D.C., Drobnjak, I., Shemesh, N. (2018). Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain.. Neuroimage, doi:10.1016/j.neuroimage.2018.08.034
Brown, S., Van Herk, M., Chuter, R., Falk, S., Kirkby, K., Mackay, R., ...Hall, E. (2018). Advanced Radiotherapy Technologies Network in the UK (ART-NET) - focus on lung cancer.
Firth, N.C., Startin, C.M., Hithersay, R., Hamburg, S., Wijeratne, P.A., Mok, K.Y., ...Strydom, A. (2018). Aging related cognitive changes associated with Alzheimer's disease in Down syndrome. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.571
Quan, K., Jacob, J., Shipley, R.J., Hawkes, D.J., Hurst, J.R. (2018). Airway tapering in bronchiectatic and healthy airways.
Wijeratne, P.A., Young, A.L., Oxtoby, N.P., Marinescu, R.V., Firth, N.C., Johnson, E.B., ...Tabrizi, S.J. (2018). An image-based model of brain volume biomarker changes in Huntington's disease. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.558
Usman, M., Kakkar, L., Shmueli, K., Arridge, S., Atkinson, D. (2018). An integrated model-based framework for the correction of signal pile-up and translational offsets in prostate diffusion MRI.
Hauptmann, A., Cox, B., Lucka, F., Huynh, N., Betcke, M., Beard, P., Arridge, S. (2018). Approximate k-space models and deep learning for fast photoacoustic reconstruction.
Kuzhagaliyev, T., Clancy, N.T., Janatka, M., Tchaka, K., Vasconcelos, F., Clarkson, M.J., ...Stoyanov, D. (2018). Augmented reality needle ablation guidance tool for irreversible electroporation in the pancreas..
Kuzhagaliyev, T., Clancy, N.T., Janatka, M., Tchaka, K., Vasconcelos, F., Clarkson, M.J., ...Stoyanov, D. (2018). Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas..
Ricciardi, A., Grussu, F., Brownlee, W., Kanber, B., Prados Carrasco, F., Collorone, S., ...Ciccarelli, O. (2018). Biophysically meaningful MRI features for accurate classification of multiple sclerosis phenotypes.
Denholm, R., De Stavola, B.L., Hipwell, J.H., Doran, S.J., Holly, J.M.P., Folkerd, E., ...Dos-Santos-Silva, I. (2018). Circulating growth and sex hormone levels and breast tissue composition in young nulliparous women. Cancer Epidemiology Biomarkers and Prevention, 27 (12), 1500-1508. doi:10.1158/1055-9965.EPI-18-0036
Manber, R., Thielemans, K., Hutton, B.F., Wan, S., Fraioli, F., Barnes, A., ...Atkinson, D. (2018). Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR with a Joint PET/MR Predictive Motion Model.. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, doi:10.2967/jnumed.117.191460
Parker, T.D., Slattery, C.F., Zhang, J., Nicholas, J.M., Paterson, R.W., Foulkes, A.J.M., ...Cash, D.M. (2018). Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging. Human Brain Mapping, doi:10.1002/hbm.24056
Oxtoby, N., Young, A., Cash, D., Benzinger, T., Fagan, A., Morris, J., ...Alexander, D. (2018). Data-driven models of dominantly-inherited Alzheimer’s disease progression. .
Eshaghi, A., Prados Carrasco, F., Brownlee, W., Altmann, D.R., Tur Gomez, C., Cardoso, M.J., ...de Stefano, N. (2018). Deep gray matter volume loss drives disability worsening in multiple sclerosis. Annals of Neurology, 83 (2), 210-222. doi:10.1002/ana.25145
Hill, I., Palombo, M., Santin, M.D., Branzoli, F., Philippe, A.-.C., Wassermann, D., ...Lehericy, S. (2018). Deep neural network based framework for in-vivo axonal permeability estimation.
Blumberg, S.B., Tanno, R., Kokkinos, I., Alexander, D.C. (2018). Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. SPRINGER INTERNATIONAL PUBLISHING AG.
Blumberg, S.B., Tanno, R., Kokkinos, I., Alexander, D.C. (2018). Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images..
Bertolli, O., Cuplov, V., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2018). Detection of Lung Density Variations with Principal Component Analysis in PET.
Batalle, D., O'Muircheartaigh, J., Makropoulos, A., Kelly, C.J., Dimitrova, R., Hughes, E.J., ...Edwards, A.D. (2018). Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage, doi:10.1016/j.neuroimage.2018.05.046
Bragman, F.J.S., Young, A.L., Hawkes, D.J., Alexander, D.C., Hurst, J.R. (2018). Disease progression patterns in COPD.
Bragman, F.J.S., Young, A.L., Hawkes, D.J., Alexander, D.C., Hurst, J.R. (2018). Disease progression patterns in COPD.
Stavrinides, V., Olivier, J., Kay, J., Freeman, A., Ahmed, Z., Pye, H., ...Arya, M. (2018). DISTINCT PROTEIN EXPRESSION PATTERNS FOR COMMON BIOMARKERS IN MALIGNANT AND ADJACENT BENIGN PROSTATE TISSUE: AN IMMUNOHISTOCHEMICAL STUDY ON NEEDLE BIOPSY MICROARRAYS DERIVED FROM AN IMAGING-BASED PATIENT COHORT.
Bulgarelli, C., Blasi, A., Arridge, S., Powell, S., de Klerk, C., Southgate, V., ...Hamilton, A. (2018). Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.. NeuroImage, doi:10.1016/j.neuroimage.2018.04.022
Xiao, G., Bonmati, E., Thompson, S., Evans, J., Hipwell, J., Nikitichev, D., ...Davidson, B. (2018). Electromagnetic tracking in image‐guided laparoscopic surgery: Comparison with optical tracking and feasibility study of a combined laparoscope and laparoscopic ultrasound system. Medical Physics, 45 (11), 5094-5104. doi:10.1002/mp.13210
Lucka, F., Nam, H., Betcke, M., Zhang, E., Beards, P., Cox, B., Arridge, S. (2018). Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation. SIAM journal on imaging sciences, 11 (4), 2224-2253. doi:10.1137/18M1170066
Bertolli, O., Sanderson, T., Alnaim, A., Wan, M.Y.S., Wollenweber, S., Stearns, C., ...Thielemans, K. (2018). Evaluation of data-driven respiratory gating in PET with PCA.
Byrne, L.M., Brogueira Rodrigues, F., Johnson, E., Wijeratne, P., De Vita, E., Alexander, D., ...Scahill, R. (2018). Evaluation of mutant huntingtin and neurofilament proteins as potential markers in Huntington’s disease. Science Translational Medicine, doi:10.1126/scitranslmed.aat7108
Tran, E.H., Eiben, B., Wetscherek, A., Oelfke, U., Meedt, G., Hawkes, D., McClelland, J. (2018). Evaluation of surrogate signals derived from MR images to build respiratory motion models.
West, K.L., Kelm, N.D., Carson, R.P., Alexander, D.C., Gochberg, D.F., Does, M.D. (2018). Experimental studies of g-ratio MRI in ex vivo mouse brain. NeuroImage, 167 366-371. doi:10.1016/j.neuroimage.2017.11.064
Slator, P., Hutter, J., Panagiotaki, E., Jackson, L., Dos Santos Gomes, A., Ho, A., ...Rutherford, M. (2018). Exploring Placental Microstructure & Microcirculation Across Gestation with Diffusion MRI.
Tariq, M., Liao, C., Bonet-Carne, E., Plumb, A.A., Rodriguez-Justo, M., Alexander, D.C., ...Panagiotaki, E. (2018). Feasibility of VERDICT-MRI for non-invasive characterisation of rectal cancer microstructure.
Pecheva, D., Tournier, J.-.D., Pietsch, M., Christiaens, D., Batalle, D., Alexander, D., ...Zhang, H. (2018). Fixel-based analysis of white matter fibre density and morphology in the preterm brain.
Vyas, K.N., Grootendorst, M., Mertzanidou, T., MacHoll, S., Stoyanov, D., Arridge, S.R., Tuch, D.S. (2018). Flexible scintillator autoradiography for tumor margin inspection using 18F-FDG.
Robu, M.R., Ramalhinho, J., Thompson, S.A., Gurusamy, K., Davidson, B., Hawkes, D.J., ...Clarkson, M.J. (2018). Global rigid registration of CT to video in laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery, 13 947-956. doi:10.1007/s11548-018-1781-z
Denholm, R., De Stavola, B., Hipwell, J.H., Doran, S.J., Busana, M.C., Leach, M.O., ...dos-Santos-Silva, I. (2018). Growth Trajectories, Breast Size, and Breast-Tissue Composition in a British Prebirth Cohort of Young Women. AMERICAN JOURNAL OF EPIDEMIOLOGY, 187 (6), 1259-1268. doi:10.1093/aje/kwx358
Bonet-Carne, E., Tariq, M., Pye, H., Brizmohun, M., Haider, A., Bayley, C., ...Atkinson, D. (2018). Histological Validation of in-vivo VERDICT MRI for Prostate using 3D Personalised Moulds.
Bonet-Carne, E., Tariq, M., Pye, H., Brizmohun, M., Haider, A., Bayley, C., ...Atkinson, D. (2018). Histological Validation of in-vivo VERDICT MRI for Prostate using 3D Personalised Moulds.
Olivier, J., Stavrinides, V., Kay, J., Freeman, A., Pye, H., Ahmed, Z., ...Kanthabalan, A. (2018). Immunohistochemical biomarker validation in highly selective needle biopsy microarrays derived from mpMRI‐characterized prostates. The Prostate, doi:10.1002/pros.23698
Bertolli, O., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2018). Improvement of the Sign Determination Method for Data-Driven respiratory signal in TOF-PET.
Thompson, S., Schneider, C., Bosi, M., Gurusamy, K., Ourselin, S., Davidson, B., ...Clarkson, M.J. (2018). In vivo estimation of target registration errors during augmented reality laparoscopic surgery.. Int J Comput Assist Radiol Surg, doi:10.1007/s11548-018-1761-3
Jha, A.K., Zhu, Y., Arridge, S., Wong, D.F., Rahmim, A. (2018). Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging. BIOMEDICAL OPTICS EXPRESS, 9 (4), 1389-1407. doi:10.1364/BOE.9.001389
Tran, E.H., Eiben, B., Wetscherek, A., Collins, D.J., Oelfke, U., Meedt, G., ...McClelland, J.R. (2018). Investigation of MRI-derived surrogate signals for modelling respiratory motion on an MRI-Linac.
Slator, P., Hutter, J., Panagiotaki, E., Rutherford, M., Hajnal, J., Alexander, D. (2018). IVIM MRI of the Placenta. In Le Bihan, D., Iima, M., Federau, C., Sigmund, E. (Eds.), Intravoxel Incoherent Motion (IVIM) MRI Principles and Applications. Pan Stanford.
Palombo, M., Hill, I., Santin, M.D., Branzoli, F., Philippe, A.-.C., Wassermann, D., ...Lehericy, S. (2018). Machine learning based estimation of axonal permeability: validation on cuprizone treated in-vivo mouse model of axonal demyelination.
Grussu, F., Veraart, J., Battiston, M., Schneider, T., Cohen-Adad, J., Cardoso, M.J., ...Novikov, D.S. (2018). Magnitude versus complex-valued images for spinal cord diffusion MRI: which one is best?.
Jones, D.K., Alexander, D.C., Bowtell, R., Cercignani, M., Dell'Acqua, F., McHugh, D.J., ...Rudrapatna, U.S. (2018). Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage, doi:10.1016/j.neuroimage.2018.05.047
Tariq, M., Ianus, A., Kurniawan, N., Cowin, G., Alexander, D., Bourne, R.M., Panagiotaki, E. (2018). Microstructure characterisation of fixed prostate tissue using ultra high-resolution diffusion-weighted MRI.
Bailey, C., Collins, D.J., Tunariu, N., Orton, M.R., Morgan, V.A., Feiweier, T., ...Panagiotaki, E. (2018). Microstructure characterization of Bone Metastases from Prostate cancer with Diffusion MRI: Preliminary Findings. Frontiers in Oncology, 8 doi:10.3389/fonc.2018.00026
Bailey, C., Collins, D.J., Tunariu, N., Orton, M.R., Morgan, V.A., Feiweier, T., ...Panagiotaki, E. (2018). Microstructure characterization of Bone Metastases from Prostate cancer with Diffusion MRI: Preliminary Findings. Frontiers in Oncology, 8 doi:10.3389/fonc.2018.00026
Usman, M., Kakkar, L.S., KIRKHAM, A.P.S., Arridge, S.R., Atkinson, D. (2018). Model based reconstruction framework for correction of signal pile-up and geometric distortions in prostate diffusion MRI. Magnetic Resonance in Medicine, doi:10.1002/mrm.27547
Hauptmann, A., Lucka, F., Betcke, M.M., Huynh, N., Adler, J., Cox, B.T., ...Arridge, S.R. (2018). Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Transactions on Medical Imaging, 37 1382-1393. doi:10.1109/TMI.2018.2820382
Nguyen, M., Sun, N., Alexander, D.C., Feng, J., Thomas Yeo, B.T. (2018). Modeling Alzheimer's disease progression using deep recurrent neural networks.
Eiben, B., Tran, E.H., Wetscherek, A., Oelfke, U., Hawkes, D.J., McClelland, J.R. (2018). Motion model and super-resolution reconstruction from multi-slice MR image data using an MR-derived surrogate.
Devine, W., Giganti, F., Johnston, E., Panagiotaki, E., Punwani, S., Alexander, D., Atkinson, D. (2018). Multi-echo T2 modelling to predict PIRADS 2.0 score.
Devine, W., Giganti, F., Johnston, E., Panagiotaki, E., Punwani, S., Alexander, D., Atkinson, D. (2018). Multi-echo T2 modelling to predict PIRADS 2.0 score.
Hutter, J., Slator, P., Jackson, L., Dos Santos Gomes, A., Ho, A., Story, L., ...Alexander, D. (2018). Multi-modal functional MRI to explore placental function over gestation. Magnetic Resonance in Medicine, doi:10.1002/mrm.27447
Wen, J., Zhang, H., Alexander, D.C., Durrleman, S., Routier, A., Rinaldi, D., ...Pasquier, F. (2018). Neurite density is reduced in the presymptomatic phase of C9orf72 disease. Journal of Neurology, Neurosurgery and Psychiatry, doi:10.1136/jnnp-2018-318994
Broad, R.J., Gabel, M.C., Dowell, N.G., Schwartzman, D.J., Seth, A.K., Zhang, H., ...Leigh, P.N. (2018). Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS. Journal of Neurology, Neurosurgery & Psychiatry, doi:10.1136/jnnp-2018-318830
Stikov, N., Alexander, D.C., Pike, G.B. (2018). Neuroimage special issue on microstructure - Editorial. NEUROIMAGE, 182 1-2. doi:10.1016/j.neuroimage.2018.07.061
Sari, H., Erlandsson, K., Marner, L., Law, I., Larsson, H.B.W., Thielemans, K., ...Hutton, B.F. (2018). Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745. EJNMMI Research, 8 doi:10.1186/s13550-018-0412-6
Firth, N., Oxtoby, N., Primativo, S., Brotherhood, E., Young, A., Yong, K.X.X., ...Alexander, D. (2018). Non-Parametric Mixture Modelling and its Application to Disease Progression Modelling.
Veiga, C., Landau, D., Devaraj, A., Doel, T., White, J., Ngai, Y., ...McClelland, J. (2018). Novel CT-based objective imaging biomarkers of long term radiation-induced lung damage. International Journal of Radiation Oncology - Biology - Physics,
Veiga, C., Landau, D., Devaraj, A., Doel, T., Ngai, Y., Hawkes, D., McClelland, J. (2018). Objective CT-Based Imaging Biomarkers of Radiation-Induced Lung Damage.
Slator, P., Hutter, J., Jackson, L., Ianus, A., Dos Santos Gomes, A., Ho, A., ...Rutherford, M. (2018). Optimised B-Values & Gradient Directions for Placental Diffusion MRI.
Byrne, L.M., Rodrigues, F.B., Johnson, E.B., Wijeratne, P.A., De Vita, E., Alexander, D.C., ...Heslegrave, A. (2018). Parallel Evaluation of Mutant Huntingtin and Neurofilament Light as Biomarkers for Huntington Disease: the HD-CSF Study.
Byrne, L.M., Rodrigues, F.B., Johnson, E.B., Wijeratne, P.A., De Vita, E., Alexander, D.C., ...Heslegrave, A. (2018). PARALLEL EVALUATION OF MUTANT HUNTINGTIN AND NEUROFILAMENT LIGHT AS BIOMARKERS FOR HUNTINGTON'S DISEASE: THE HD-CSF STUDY.
Tick, J., Pulkkinen, A., Lucka, F., Ellwood, R., Cox, B.T., Arridge, S.R., Tarvainen, T. (2018). Photoacoustic image reconstruction in Bayesian framework.
Brusaferri, L., Bousse, A., Efthimiou, N., Emond, E., Atkinson, D., Ourselin, S., ...Thielemans, K. (2018). Potential benefits of incorporating energy information when estimating attenuation from PET data.
Eshaghi, A., Marinescu, R.V., Young, A.L., Firth, N.C., Prados, F., Cardoso, M.J., ...Brownlee, W.J. (2018). Progression of regional grey matter atrophy in multiple sclerosis. BRAIN, 141 1665-1677. doi:10.1093/brain/awy088
Roberts, T., Hyare, H., Hipwell, B., Ianus, A., Breen-norris, J., Panagiotaki, E., ...Brandner, S. (2018). QUANTIFICATION OF TUMOUR MICROSTRUCTURE IN LOW AND HIGH-GRADE BRAIN TUMOURS USING VERDICT MRI: AN INITIAL FEASIBILITY STUDY.
Hauptmann, A., Arridge, S., Lucka, F., Muthurangu, V., Steeden, J.A. (2018). Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning–proof of concept in congenital heart disease. Magnetic Resonance in Medicine, doi:10.1002/mrm.27480
Ricciardi, A., Grussu, F., Samson, R., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2018). Reconstruction of quantitative proton density maps from routine clinical data.
Grussu, F., Ianus, A., Tur Gomez, C., Prados Carrasco, F., Schneider, T., Kaden, E., ...Alexander, D.C. (2018). Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord. Magnetic Resonance in Medicine, doi:10.1002/mrm.27463
Wijeratne, P.A., Johnson, E.B., Gregory, S., Mohan, A., Sampaio, C., Scahill, R.I., ...Alexander, D.C. (2018). ROBUST BIOMARKERS OF HUNTINGTON'S DISEASE PROGRESSION: OBSERVATIONS FROM THE TRACK-HD, PREDICT-HD AND IMAGE-HD STUDIES.
Devine, W., Giganti, F., Johnston, E.W., Sidhu, H.S., Panagiotaki, E., Punwani, S., ...Atkinson, D. (2018). Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T2 MR Images. Journal of Magnetic Resonance Imaging, doi:10.1002/jmri.26608
Eshaghi, A., Kievit, R.A., Prados, F., Sudre, C., Nicholas, J., Cardoso, M.J., ...Ourselin, S. (2018). Simvastatin effect on disability is mediated by brain atrophy but is independent of cholesterol reduction in secondary progressive multiple sclerosis.
Davis, S.P.X., Wisniewski, L., Kumar, S., Correia, T., Arridge, S.R., Frankel, P., ...French, P.M.W. (2018). Slice-illuminated optical projection tomography. Optics Letters, 43 (22), 5555-5558. doi:10.1364/OL.43.005555
Tsai, Y.J., Schramm, G., Nuyts, J., Ahn, S., Stearns, C.W., Bousse, A., ...Thielemans, K. (2018). Spatially-variant Strength for Anatomical Priors in PET Reconstruction.
Steeden, J., Hauptmann, A., Muthurangu, V., Arridge, S. (2018). Spatio-Temporal Deep De-aliasing for Assessment of Ventricular Volumes Using Real-Time Tiny Golden Angle Radial SSFP; Feasibility in Adults with Congenital Heart Disease.
Clancy, N.T., Gurusamy, K., Jones, G., Davidson, B., Clarkson, M., Hawkes, D., Stoyanov, D. (2018). Spectral imaging of thermal damage induced during microwave ablation in the liver.
Eiben, B., Tran, E.H., Menten, M.J., Oelfke, U., Hawkes, D.J., McClelland, J.R. (2018). Statistical Motion Mask and Sliding Registration.
Eiben, B., Tran, E.H., Menten, M.J., Wetscherek, A., Hawkes, D.J., Oelfke, U., McClelland, J.R. (2018). Statistical motion masks to identify sliding surfaces for motion models used on an MR-Linac.
Lorenzi, M., Altmann, A., Gutman, B., Wray, S., Arber, C., Hibar, D., ...Thompson, P. (2018). Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease: evidence from functional prioritization in imaging-genetics. Proceedings of the National Academy of Sciences, doi:10.1073/pnas.1706100115
Marinescu, R.V., Oxtoby, N.P., Young, A.L., Bron, E.E., Toga, A.W., Weiner, M.W., ...Alexander, D.C. (2018). TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease. arXiv,
Quan, K., Shipley, R., Tanno, R., McPhillips, G., Vavourakis, V., Edwards, D., ...Hawkes, D. (2018). Tapering Analysis of Airways with Bronchiectasis.
Fakhry-Darian, D., Stephenson, M., Alexander, D., Thomas, B., Chen, C., Weekes, A., ...Reilhac, A. (2018). The Impact of Motion Correction and Partial Volume Correction on Classification of C-11-PiB SUVR Images with Supervised Machine Learning Models.
Brizmohun, M., Johnston, E., Latifoltojar, A., O'Callaghan, J., Bonet-Carne, E., Ferizi, U., ...Clemente, J. (2018). The intracellular component of VERDICT (Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors) MRI distinguishes Gleason 4 pattern better than Apparent Diffusion Coefficient.
Brizmohun, M., Johnston, E., Latifoltojar, A., O'Callaghan, J., Bonet-Carne, E., Ferizi, U., ...Clemente, J. (2018). The intracellular component of VERDICT (Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors) MRI distinguishes Gleason 4 pattern better than Apparent Diffusion Coefficient.
Tick, J., Pulkkinen, A., Lucka, F., Ellwood, R., Cox, B.T., Kaipio, J.P., ...Tarvainen, T. (2018). Three dimensional photoacoustic tomography in Bayesian framework. Journal of the Acoustical Society of America, 144 (4), 2061-2071. doi:10.1121/1.5057109
Farina, A., Betcke, M., Bassi, A., Valentini, G., Arridge, S., D'Andrea, C. (2018). Time-resolved diffuse optical tomography system based on adaptive structured light illumination and compressive sensing detection.
Brandao, P., Zisimopoulos, O., Mazomenos, E.B., Ciuti, G., Bernal, J., Scarzanella, M.V., ...Arezzo, A. (2018). Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks.. Journal of Medical Robotics Research, 3 1840002:1. doi:10.1142/S2424905X18400020
Devine, W., Giganti, F., Johnston, E., Panagiotaki, E., Punwani, S., Alexander, D.C., Atkinson, D. (2018). Two compartment fitting for Luminal Water Imaging: multi-echo T2 in Prostate Cancer.
Bragman, F.J.S., Tanno, R., Eaton-Rosen, Z., Li, W., Hawkes, D.J., Ourselin, S., ...Cardoso, M.J. (2018). Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
Bragman, F.J.S., Tanno, R., Eaton-Rosen, Z., Li, W., Hawkes, D.J., Ourselin, S., ...Cardoso, M.J. (2018). Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
Young, A., Marinescu, R., Oxtoby, N., Bocchetta, M., Yong, K., Firth, N., ...Cardoso, J. (2018). Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference. Nature Commun, 9 4273. doi:10.1038/s41467-018-05892-0
Arridge, S.R., Ito, K., Jin, B., Zhang, C. (2018). Variational Gaussian approximation for Poisson data. Inverse Problems, 34 (2), doi:10.1088/1361-6420/aaa0ab
Bonet-Carne, E., Daducci, A., Johnston, E., Jacobs, J., Freeman, A., Atkinson, D., ...panagiotaki, E. (2018). VERDICT Prostate Parameter Estimation with AMICO.
Bonet-Carne, E., Daducci, A., Johnston, E., Jacobs, J., Freeman, A., Atkinson, D., ...panagiotaki, E. (2018). VERDICT Prostate Parameter Estimation with AMICO.
Bonet-Carne, E., Johnston, E., Daducci, A., Jacobs, J.G., Freeman, A., Atkinson, D., ...Panagiotaki, E. (2018). VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization. NMR in Biomedicine, doi:10.1002/nbm.4019
Bonet-Carne, E., Johnston, E., Daducci, A., Jacobs, J.G., Freeman, A., Atkinson, D., ...Panagiotaki, E. (2018). VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization. NMR in Biomedicine, doi:10.1002/nbm.4019

2017

Mertzanidou, T., Hipwell, J.H., Reis, S., Hawkes, D.J., Bejnordi, B.E., Dalmis, M., ...Karssemeijer, N. (2017). 3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging. Med Phys, doi:10.1002/mp.12077
Lacher, R.M., V.a.s.c.o.n.c.e.l.o.s., B.i.s.h.o.p., W.i.l.l.i.a.m.s., K.e.s.h.t.g.a.r., H.a.w.k.e.s., ......S.t.o.y.a.n.o.v. (2017). A comparative study of breast surface reconstruction for aesthetic outcome assessment.
McClelland, J.R., Modat, M., Arridge, S., Grimes, H., D'Souza, D., Thomas, D., ...Collins, D. (2017). A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images.. Physics in Medicine and Biology, doi:10.1088/1361-6560/aa6070
McClelland, J.R., Modat, M., Arridge, S., Grimes, H., D'Souza, D., Thomas, D., ...Collins, D. (2017). A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images.. Physics in Medicine and Biology, doi:10.1088/1361-6560/aa6070
Han, L., Dong, H., McClelland, J.R., Han, L., Hawkes, D.J., Barratt, D.C. (2017). A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. MEDICAL IMAGE ANALYSIS, 39 87-100. doi:10.1016/j.media.2017.04.003
Hampshire, T., Menys, A., Jaffer, A., Bhatnagar, G., Punwani, S., Atkinson, D., ...Taylor, S.A. (2017). A Probabilistic Method for Estimation of Bowel Wall Thickness in MR Colonography.. PLoS One, 12 (1), e0168317. doi:10.1371/journal.pone.0168317
Calvert, N., Helo, Y., Mertzanidou, T., Tuch, D.S., Arridge, S., Stoyanov, D. (2017). A Simulation Study of Spectral Cerenkov Luminescence Imaging for Tumour Margin Estimation.
Pecheva, D., Yushkevich, P., Batalle, D., Hughes, E., Aljabar, P., Wurie, J., ...Counsell, S.J. (2017). A tract-specific approach to assessing white matter in preterm infants.. NeuroImage, doi:10.1016/j.neuroimage.2017.04.057
Grussu, F., Battiston, M., Prados Carrasco, F., Schneider, T., Kaden, E., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2017). A unified signal readout for reproducible multimodal characterisation of brain microstructure.
Vavourakis, V., Wijeratne, P.A., Shipley, R., Loizidou, M., Stylianopoulos, T., Hawkes, D.J. (2017). A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth.. PLOS Computational Biology, 13 (1), e1005259. doi:10.1371/journal.pcbi.1005259
Marinescu, R.V., Eshaghi, A., Lorenzi, M., Young, A.L., Oxtoby, N.P., Garbarino, S., ...Alexander, D.C. (2017). A vertex clustering model for disease progression: Application to cortical thickness images.
Betcke, M.M., Cox, B.T., Huynh, N., Zhang, E.Z., Beard, P.C., Arridge, S.R. (2017). Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography. IEEE Transactions on Computational Imaging, 3 (4), 710-721. doi:10.1109/TCI.2017.2706029
Battiston, M., Grussu, F., Ianus, A., Schneider, T., Prados, F., Fairney, J., ...Wheeler-Kingshott, C. (2017). An optimized framework for quantitative Magnetization Transfer imaging of the cervical spinal cord in vivo. Magnetic Resonance in Medicine, doi:10.1002/mrm.26909
Ganepola, T., Nagy, Z., Alexander, D.C., Sereno, M.I. (2017). An unsupervised group average cortical parcellation using diffusion MRI to probe cytoarchitecture.
Slattery, C.F., Zhang, J., Paterson, R.W., Foulkes, A.J.M., Carton, A., Macpherson, K., ...Toussaint, N. (2017). ApoE influences regional white-matter axonal density loss in Alzheimer's disease. Neurobiology of Aging, 57 8-17. doi:10.1016/j.neurobiolaging.2017.04.021
Bourne, R.M., Bailey, C.E.M., Johnston, E.W., Pye, H., Heavey, S., Whitaker, H., ...Sridhar, A. (2017). Apparatus for histological validation of in vivo and ex vivo magnetic resonance imaging of the human prostate. Frontiers in Oncology, doi:10.3389/fonc.2017.00047
Bourne, R.M., Bailey, C.E.M., Johnston, E.W., Pye, H., Heavey, S., Whitaker, H., ...Sridhar, A. (2017). Apparatus for histological validation of in vivo and ex vivo magnetic resonance imaging of the human prostate. Frontiers in Oncology, doi:10.3389/fonc.2017.00047
Reis, S., Gazinska, P., Hipwell, J., Mertzanidou, T., Naidoo, K., Williams, N., ...Hawkes, D.J. (2017). Automated Classification of Breast Cancer Stroma Maturity from Histological Images.. IEEE Trans Biomed Eng, doi:10.1109/TBME.2017.2665602
Eiben, B., Fast, M.F., Menten, M.J., Bromma, K., Wetscherek, A., Hawkes, D.J., ...Oelfke, U. (2017). Automated lung tumour delineation in cine MR images for image guided radiotherapy with an MR-Linac.
Jones, G., Clancy, N., Helo, Y., Arridge, S., Elson, D., Stoyanov, D. (2017). Bayesian Estimation of Intrinsic Tissue Oxygenation and Perfusion from RGB Images.. IEEE Trans Med Imaging, doi:10.1109/TMI.2017.2665627
Tanno, R., Worrall, D.E., Ghosh, A., Kaden, E., Sotiropoulos, S.N., Criminisi, A., Alexander, D.C. (2017). Bayesian image quality transfer with CNNs: Exploring uncertainty in dMRI super-resolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10433 LNCS 611-619. doi:10.1007/978-3-319-66182-7_70
Doran, S.J., Hipwell, J.H., Denholm, R., Eiben, B., Busana, M., Hawkes, D.J., ...Dos Santos Silva, I. (2017). Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?. Medical physics, doi:10.1002/mp.12320
Ramalhinho, J., Robu, M., Thompson, S., Edwards, P., Schneider, C., Gurusamy, K., ...Clarkson, M.J. (2017). Breathing motion compensated registration of laparoscopic liver ultrasound to CT.
Slator, P.J., Hutter, J., McCabe, L., Dos Santos Gomes, A., Price, A., Rutherford, M., ...Alexander, D. (2017). Comparison of Diffusion Imaging Microstructure Models of the Human Placenta at 3T.
Yang, G., Yu, S., Dong, H., Slabaugh, G., Dragotti, P.L., Ye, X., ...Guo, Y. (2017). DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2017.2785879
Bertolli, O., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2017). Data Driven Respiratory signal detection in PET taking advantage of time-of-flight Data.
Gabel, M.C., Cercignani, M., Alexander, D.C., Young, A.L., Al-Chalabi, A., Leigh, P.N. (2017). Data-driven modelling of diffusion MRI changes in ALS indicates evolution of distal prior to proximal corticospinal tract pathology.
Oxtoby, N.P., Garbarino, S., Firth, N.C., Warren, J.D., Schott, J.M., Alexander, D.C. (2017). Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer's Disease. FRONTIERS IN NEUROLOGY, 8 doi:10.3389/fneur.2017.00580
Yu, S., Dong, H., Yang, G., Slabaugh, G., Dragotti, P.L., Ye, X., ...Firmin, D. (2017). Deep De-Aliasing for Fast Compressive Sensing MRI.
Jacobs, J.G., Brostow, G.J., Freeman, A., Alexander, D.C., Panagiotaki, E. (2017). Deep Learning for Quantifiable Characterisation of Prostate Histology with Limited Data.
Gibson, E., Robu, M.R., Thompson, S., Edwards, P., Schneider, C., Gurusamy, K., ...Clarkson, M.J. (2017). Deep residual networks for automatic segmentation of laparoscopic videos of the liver.
Jacobs, J.G., Brostow, G.J., Freeman, A., Alexander, D.C., Panagiotaki, E. (2017). Detecting and Classifying Nuclei on a Budget.
Farina, A., Betcke, M., Di Sieno, L., Bassi, A., Ducros, N., Pifferi, A., ...D 'Andrea, C. (2017). Diffuse Optical Tomography based on time-resolved compressive sensing.
Bailey, C.E.M., Grussu, F., Siow, B., Mertzanidou, T., Hipwell, J.H., Owen, J., ...Hawkes, D.J. (2017). Diffusion anisotropy in breast cancer tissue corresponds to spatial patterns of collagen alignment from structure tensor analysis of histology.
Bailey, C.E.M., Grussu, F., Siow, B., Mertzanidou, T., Hipwell, J.H., Owen, J., ...Hawkes, D.J. (2017). Diffusion anisotropy in breast cancer tissue corresponds to spatial patterns of collagen alignment from structure tensor analysis of histology.
Ferizi, U., Scherrer, B., Schneider, T., Alipoor, M., Eufracio, O., Fick, R.H.J., ...Rivera, M. (2017). Diffusion MRI microstructure models with in vivo human brain Connectome data: Results from a multi-group comparison. NMR in Biomedicine, doi:10.1002/nbm.3734
Batalle, D., Hughes, E.J., Zhang, H., Tournier, J.D., Tusor, N., Aljabar, P., ...Nosarti, C. (2017). Early development of structural networks and the impact of prematurity on brain connectivity.. Neuroimage, doi:10.1016/j.neuroimage.2017.01.065
Firth, N.C., Harding, E., Sullivan, M.P., Crutch, S.J., Alexander, D.C. (2017). ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research.
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2017). Estimation and uncertainty quantification of optical properties directly from the photoacoustic time series.
Sari, H., Erlandsson, K., Law, I., Larsson, H., Ourselin, S., Arridge, S., ...Hutton, B. (2017). Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method. Journal of Cerebral Blood Flow & Metabolism, 37 (4), 1398-1409. doi:10.1177/0271678X16656197
Bousse, A., Manber, R., Holman, B.F., Atkinson, D., Arridge, S., Ourselin, S., ...Thielemans, K. (2017). Evaluation of a direct motion estimation/correction method in respiratory-gated PET/MRI with motion-adjusted attenuation.. Medical physics, doi:10.1002/mp.12253
Pavisic, I.M., Firth, N.F., Parsons, S., Martinez Rego, D., Shakespeare, T.J., Yong, K.X.X., ...Macpherson, K. (2017). Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions. Frontiers in Neurology,
Primativo, S., Clark, C., Yong, K.X.X., Firth, N.C., Nicholas, J., Alexander, D., ...Crutch, S.J. (2017). Eyetracking metrics reveal impaired spatial anticipation in behavioural variant frontotemporal dementia. Neuropsychologia, 106 328-340. doi:10.1016/j.neuropsychologia.2017.10.014
Battiston, M., Schneider, T., Prados, F., Grussu, F., Yiannakas, M.C., Ourselin, S., ...Samson, R.S. (2017). Fast and reproducible in vivo T1 mapping of the human cervical spinal cord.. Magnetic resonance in medicine, doi:10.1002/mrm.26852
Jones, G., Clancy, N.T., Du, X., Robu, M., Arridge, S.R., Elson, D.S., Stoyanov, D. (2017). Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition.. MICCAI (2), 10434 100-108. doi:10.1007/978-3-319-66185-8_12
Tsai, Y.J., Bousse, A., Ehrhardt, M.J., Stearns, C.W., Ahn, S., Hutton, B., ...Thielemans, K. (2017). Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2017.2786865
Schneider, C., Johnson, S.P., Gurusamy, K., Cook, R.J., Desjardins, A.E., Hawkes, D.J., ...Walker-Samuel, S. (2017). Identification of liver metastases with probe-based confocal laser endomicroscopy at two excitation wavelengths.. Lasers Surg Med, doi:10.1002/lsm.22617
Alfaro-Almagro, F., Jenkinson, M., Bangerter, N.K., Andersson, J.L.R., Griffanti, L., Douaud, G., ...Vallee, E. (2017). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.. NeuroImage, doi:10.1016/j.neuroimage.2017.10.034
Alexander, D.C., Zikic, D., Ghosh, A., Tanno, R., Wottschel, V., Zhang, J., ...Zhang, H. (2017). Image quality transfer and applications in diffusion MRI. Neuroimage, doi:10.1016/j.neuroimage.2017.02.089
Alexander, D.C., Dyrby, T.B., Nilsson, M., Zhang, H. (2017). Imaging brain microstructure with diffusion MRI: Practicality and applications. NMR in Biomedicine, doi:10.1002/nbm.3841
Oxtoby, N.P., Alexander, D.C. (2017). Imaging plus X: multimodal models of neurodegenerative disease.. Current opinion in neurology, doi:10.1097/wco.0000000000000460
Kelly, C.J., Makropoulos, A., Cordero-Grande, L., Hutter, J., Price, A., Hughes, E., ...Kulkarni, S. (2017). Impaired development of the cerebral cortex in infants with congenital heart disease is correlated to reduced cerebral oxygen delivery. SCIENTIFIC REPORTS, 7 doi:10.1038/s41598-017-14939-z
Bastiani, M., Cottaar, M., Dikranian, K., Ghosh, A., Zhang, H., Alexander, D.C., ...Sotiropoulos, S.N. (2017). Improved tractography using asymmetric fibre orientation distributions.. NeuroImage, doi:10.1016/j.neuroimage.2017.06.050
Robu, M.R., Edwards, P., Ramalhinho, J.A., Thompson, S., Davidson, B., Hawkes, D., ...Clarkson, M.J. (2017). Intelligent viewpoint selection for efficient CT to video registration in laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery, 1-10. doi:10.1007/s11548-017-1584-7
Devine, W., Johnston, E., Bonet-Carne, E., Punwani, S., Alexander, D., Atkinson, D. (2017). Linking a Multi-Compartment T2 Model to Diffusion Microstructure in Prostate Cancer.
Devine, W., Johnston, E., Bonet-Carne, E., Punwani, S., Alexander, D., Atkinson, D. (2017). Linking a multi-compartment T2 model to diffusion microstructure in prostate cancer.
Veiga, C.I.C.V.D., Landau, D., McClelland, J., Ledermann, J., Hawkes, D., Janes, S., Devaraj, A. (2017). Long term radiological features of radiation-induced lung damage. Radiotherapy and Oncology, doi:10.1016/j.radonc.2017.11.003
Zhang, J., Slattery, C., Paterson, R., Foulkes, A., Mancini, L., Thomas, D., ...Thornton, J. (2017). Longitudinal Progression of White Matter Deficits in Young Onset Alzheimer's Disease and Its Syndromic Variants Using NODDI.
Nedjati-Gilani, G.L., Schneider, T., Hall, M.G., Cawley, N., Hill, I., Ciccarelli, O., ...Alexander, D.C. (2017). Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroImage, 150 119-135. doi:10.1016/j.neuroimage.2017.02.013
Bragman, F.J.S., McClelland, J.R., Jacob, J., Hurst, J.R., Hawkes, D.J. (2017). Manifold Learning of COPD.
Ianuş, A., Shemesh, N., Alexander, D.C., Drobnjak, I. (2017). Measuring microscopic anisotropy with diffusion magnetic resonance: From material science to biomedical imaging. In Mathematics and Visualization. (pp. 229-255). .
Batalle, D., Zhang, H., O'Muircheartaigh, J., Makropoulos, A., Hughes, E., Barnett, M., ...Edwards, A.D. (2017). Micro- And Macro-Structural Development of the Cortex in Preterm Infants.
Johnston, E., Bonet-Carne, E., Pye, H., Clemente, J., Yvernault, B., Patel, D., ...Sridhar, A. (2017). Microstructural Diffusion-Weighted (VERDICT) MRI Metrics are Repeatable and Show Potential at Characterising Gleason 7 Prostate Cancer Non-Invasively.
Johnston, E., Bonet-Carne, E., Pye, H., Clemente, J., Yvernault, B., Patel, D., ...Sridhar, A. (2017). Microstructural Diffusion-Weighted (VERDICT) MRI Metrics are Repeatable and Show Potential at Characterising Gleason 7 Prostate Cancer Non-Invasively.
Hauptmann, A., Lucka, F., Betcke, M.M., Huynh, N., Cox, B.T., Beard, P.C., ...Arridge, S.R. (2017). Model based learning for accelerated, limited-view 3D photoacoustic tomography.. .
Cochran, J.M., Busch, D.R., Ban, H.Y., Kavuri, V.C., Schweiger, M.J., Arridge, S.R., Yodh, A.G. (2017). Multi-modal diffuse optical techniques for breast cancer neoadjuvant chemotherapy monitoring (Conference Presentation).
Farina, A., Betcke, M., di Sieno, L., Bassi, A., Ducros, N., Pifferi, A., ...D'Andrea, C. (2017). Multiple-view diffuse optical tomography system based on time-domain compressive measurements. OPTICS LETTERS, 42 (14), 2822-2825. doi:10.1364/OL.42.002822
Farina, A., Betcke, M., Ducros, N., di Sieno, L., Bassi, A., Pifferi, A., ...D'Andrea, C. (2017). Multiple-view time-resolved diffuse optical tomography based on structured illumination and compressive detection.
Wijeratne, P.A., Hipwell, J.H., Hawkes, D.J., Stylianopoulos, T., Vavourakis, V. (2017). Multiscale biphasic modelling of peritumoural collagen microstructure: The effect of tumour growth on permeability and fluid flow.. PloS one, 12 (9), e0184511. doi:10.1371/journal.pone.0184511
Tagliabue, S., Di Sieno, L., Farina, A., Martinenghi, E., Arridge, S., Martelli, F., ...Dalla Mora, A. (2017). Near-infrared, time-resolved optical tomography with a novel compact system.
Grussu, F., Schneider, T., Tur, C., Yates, R.L., Tachrount, M., Ianuş, A., ...Alexander, D.C. (2017). Neurite dispersion: A new marker of multiple sclerosis spinal cord pathology?. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.445
Broad, R., Gabel, M., Dowell, N., Zhang, H., Alexander, D., Cercignani, M., Leigh, P.N. (2017). Neurite Orientation Dispersion and Density Imaging (NODDI) highlights axonal degeneration of the motor tracts as the core feature underlying Amyotrophic Lateral Sclerosis..
Markiewicz, P.J., Ehrhardt, M., Erlandsson, K., Noonan, P.J., Barnes, A., Schott, J.M., ...Ourselin, S. (2017). NiftyPET: A high-throughput software platform for high quantitative accuracy and precision PET imaging and analysis. Neuroinformatics, doi:10.1007/s12021-017-9352-y
Thompson, S., Meurer, Y., Edwards, E., Ramalhinho, J., Robu, M.R., Stoyanov, D., ...Clarkson, M.J. (2017). On pattern selection for laparoscope calibration.
Battiston, M., Grussu, F., Ianus, A., Schneider, T., Prados, F., Fairney, J., ...Wheeler-Kingshott, C. (2017). Optimal framework for quantitative Magnetization Transfer imaging of small structures.
Grussu, F., Ianus, A., Tur Gomez, C., Prados Carrasco, F., Schneider, T., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2017). Origin of the time dependence of the diffusion-weighted signal in spinal cord white matter.
Tsai, Y.J., Bousse, A., Stearns, C.W., Ahn, S., Hutton, B.F., Arridge, S., Thielemans, K. (2017). Performance improvement and validation of a new MAP reconstruction algorithm.
Slator, P., Hutter, J., McCabe, L., Dos Santos Gomes, A., Price, A.N., Panagiotaki, E., ...Alexander, D.C. (2017). Placenta microstructure and microcirculation imaging with diffusion MRI. Magnetic Resonance in Medicine, doi:10.1002/mrm.27036
Franco, G., Li, H., Kaden, E., Alexander, D.C., Gore, J.C., Dortch, R., ...Bagnato, F. (2017). Probing myelin and axonal integrity in multiple sclerosis brains.
Eshaghi, A., Marinescu, R.V., Young, A., Firth, N., Prados, F., Cardoso, M.J., ...Brownlee, W. (2017). Progression of regional grey matter atrophy in multiple sclerosis.
Bragman, F., McClelland, J., Jacob, J., Hurst, J., Hawkes, D. (2017). Pulmonary Lobe Segmentation with Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior. IEEE Transactions on Medical Imaging, 1. doi:10.1109/TMI.2017.2688377
Veiga, C., Landau, D., Devaraj, A., Doel, T., Hawkes, D., McClelland, J. (2017). Quantification of Radiation Therapy-Induced Diaphragmatic Changes Using Serial CT Imaging.
Veiga, C., Landau, D., Devaraj, A., Doel, T., Hawkes, D., McClelland, J.R. (2017). Quantification of radiotherapy-induced mediastinum changes using serial CT imaging.
Roberts, T., Hyare, H., Hipwell, J., Ianus, A., Breen-Norris, J., Panagiotaki, E., ...Brandner, S. (2017). Quantifying Microstructure in Low and High-Grade Brain Tumours Using VERDICT MRI.
Slator, P.J., Hutter, J., McCabe, L., Dos Santos Gomes, A., Price, A., Panagiotaki, E., ...Alexander, D.C. (2017). Quantifying Placental Microcirculation and Microstructure with Anisotropic IVIM Models.
Powell, S., Hochuli, R., Arridge, S. (2017). Radiance Monte-Carlo for application of the radiative transport equation in the inverse problem of diffuse optical tomography.
Lorenzi, M., Gutman, B., Thompson, P.M., Alexander, D.C., Ourselin, S., Altmann, A. (2017). Secure multivariate large-scale multi-centric analysis through on-line learning: an imaging genetics case study.
Bertolli, O., Arridge, S., Wollenweber, S.D., Stearns, C.W., Hutton, B.F., Thielemans, K. (2017). Sign determination methods for the respiratory signal in data-driven PET gating. PHYSICS IN MEDICINE AND BIOLOGY, 62 (8), doi:10.1088/1361-6560/aa6052
Huynh, N., Lucka, F., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2017). Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging.
Simmons, L.A.M., Kanthabalan, A., Arya, M., Briggs, T., Barratt, D., Charman, S.C., ...Hu, Y. (2017). The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy. British Journal of Cancer, doi:10.1038/bjc.2017.57
Donaldson, I., Hamid, S., Barratt, D., Hu, Y., Rodell, R., Villarini, B., ...McCartan, N. (2017). THE SMARTTARGET BIOPSY TRIAL: A PROSPECTIVE PAIRED BLINDED TRIAL WITH RANDOMISATION TO COMPARE VISUAL-ESTIMATION AND IMAGE-FUSION TARGETED PROSTATE BIOPSIES.
Fonseca, M., Malone, E., Lucka, F., Ellwood, R., An, L., Arridge, S., ...Cox, B. (2017). Three-dimensional photoacoustic imaging and inversion for accurate quantification of chromophore distributions.
Farina, A., Tagliabue, S., Di Sieno, L., Martinenghi, E., Durduran, T., Arridge, S., ...Dalla Mora, A. (2017). Time-Domain Functional Diffuse Optical Tomography System Based on Fiber-Free Silicon Photomultipliers. Applied Sciences, 7 (12), doi:10.3390/app7121235
Veiga, C., Landau, D., Devaraj, A., Doel, T., Hawkes, D., Mcclelland, J. (2017). Toward a Radiological Scoring System of Radiotherapy-Induced Lung Damage.
Fast, M.F., Eiben, B., Menten, M.J., Wetscherek, A., Hawkes, D.J., McClelland, J.R., Oelfke, U. (2017). Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study. Radiotherapy and Oncology, doi:10.1016/j.radonc.2017.09.013
Gabel, M., Broad, R., Alexander, D., Zhang, H., Leigh, N., Cercignani, M. (2017). Understanding White Matter Pathology in ALS Using a Multimodal Approach.
Ganepola, T., Nagy, Z., Ghosh, A., Papadopoulo, T., Alexander, D.C., Sereno, M.I. (2017). Using diffusion MRI to discriminate areas of cortical grey matter.. NeuroImage, doi:10.1016/j.neuroimage.2017.12.046
Tarvainen, T., Pulkkinen, A., Cox, B.T., Arridge, S.R. (2017). Utilising the radiative transfer equation in quantitative photoacoustic tomography.
Bailey, C., Bourne, R.M., Siow, B., Johnston, E.W., Pye, H., Heavey, S., ...Patel, D. (2017). Validation of VERDICT MRI using fresh and fixed prostate specimens with aligned histological slices.
Bailey, C., Bourne, R.M., Siow, B., Johnston, E.W., Pye, H., Heavey, S., ...Patel, D. (2017). Validation of VERDICT MRI using fresh and fixed prostate specimens with aligned histological slices.
Pecheva, D., Zhang, H., Barnett, M., Chew, A., Falconer, S., Rutherford, M., ...Edwards, A.D. (2017). White Matter Diffusion Properties at Term Equivalent Age Are Associated with Subsequent Motor Performance in Infants Born Preterm.
Grussu, F., Battiston, M., Prados Carrasco, F., Schneider, T., Kaden, E., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2017). Whole-brain macromolecular tissue volume mapping: a comparison of imaging readouts at 3 Tesla.
Grussu, F., Battiston, M., Prados, F., Schneider, T., Kaden, E., Ourselin, S., ...Wheeler-Kingshott, C. (2017). Whole-brain macromolecular total volume mapping: a comparison of imaging readouts at 3 Tesla.
Johnston, E., Bailey, C., Bonet-Carne, E., Pye, H., Heavey, S., Patel, D., ...Devine, W. (2017). Why is the Peripheral Zone of the Normal Human Prostate High in ADC Value and T2-Weighted Signal Intensity?.
Johnston, E., Bailey, C., Bonet-Carne, E., Pye, H., Heavey, S., Patel, D., ...Devine, W. (2017). Why is the Peripheral Zone of the Normal Human Prostate High in ADC Value and T2-Weighted Signal Intensity?.

2016

Hu, Y., Bonmati, E., Gibson, E., Hipwell, J.H., Hawkes, D.J., Bandula, S., ...Barratt, D.C. (2016). 2D-3D registration accuracy estimation for optimised planning of image-guided pancreatobiliary interventions.
Grussu, F., Schneider, T., Yates, R.L., Zhang, H., Wheeler-Kingshott, C.A., DeLuca, G.C., Alexander, D.C. (2016). A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord.. Journal of neuroscience methods, 273 20-32. doi:10.1016/j.jneumeth.2016.08.002
Hipwell, J.H., Vavourakis, V., Han, L., Mertzanidou, T., Eiben, B., Hawkes, D.J. (2016). A review of biomechanically informed breast image registration. Physics in Medicine and Biology, 61 (2), R1-R31. doi:10.1088/0031-9155/61/2/R1
Mazomenos, E.B., Chang, P.-.L., Rolls, A., Hawkes, D.J., Bicknell, C.D., Poorten, E.V., ...Stoyanov, D. (2016). A Survey on the Current Status and Future Challenges Towards Objective Skills Assessment in Endovascular Surgery. Journal of Medical Robotics Research, 1640010. doi:10.1142/S2424905X16400109
Arridge, S., Beard, P., Betcke, M., Cox, B., Huynh, N., Lucka, F., ...Zhang, E. (2016). Accelerated high-resolution photoacoustic tomography via compressed sensing.. Phys Med Biol, 61 (24), 8908-8940. doi:10.1088/1361-6560/61/24/8908
Thielemans, K., Arridge, S. (2016). Adaptive adjustment of the number of subsets during iterative image reconstruction.
Bonet-Carne, E., Daducci, A., Panagiotaki, E., Johnston, E., Stevens, N., Atkinson, D., ...Alexander, D. (2016). AMICO-VERDICT: Ultrafast fitting algorithm for cancer microstructure characterization, a prostate cancer application.
Vavourakis, V., Hipwell, J.H., Hawkes, D.J. (2016). An Inverse Finite Element u/p-Formulation to Predict the Unloaded State of In Vivo Biological Soft Tissues. ANNALS OF BIOMEDICAL ENGINEERING, 44 (1), 187-201. doi:10.1007/s10439-015-1405-5
Colgan, N., Siow, B., O'Callaghan, J.M., Harrison, I.F., Wells, J.A., Holmes, H.E., ...Collins, E.C. (2016). Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. Neuroimage, 125 739-744. doi:10.1016/j.neuroimage.2015.10.043
Mozumder, M., Tarvainen, T., Arridge, S., Kaipio, J.P., d'Andrea, C., Kolehmainen, V. (2016). Approximate Marginalization of Absorption and Scattering in Fluorescence Diffuse Optical Tomography. INVERSE PROBLEMS AND IMAGING, 10 (1), 227-246. doi:10.3934/ipi.2016.10.227
Jacobs, J.G., Panagiotaki, E., Freeman, A., Brostow, G., Alexander, D.C. (2016). Automatic Nuclei Detection in Low Magnification Prostate Histology.
Grussu, F., Schneider, T., Prados, F., Tur, C., Ourselin, S., Zhang, H., ...Wheeler-Kingshott, C. (2016). Axon diameter distribution influences diffusion-derived axonal density estimation in the human spinal cord: in silico and in vivo evidence.
Schweiger, M., Arridge, S. (2016). Basis mapping methods for forward and inverse problems. International Journal for Numerical Methods in Engineering, doi:10.1002/nme.5271
Tanno, R., Ghosh, A., Grussu, F., Kaden, E., Criminisi, A., Alexander, D.C. (2016). Bayesian image quality transfer.
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2016). Bayesian parameter estimation in spectral quantitative photoacoustic tomography.
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A., Zhang, H. (2016). Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI. Neuroimage, doi:10.1016/j.neuroimage.2016.01.046
Eiben, B., Lacher, R., Vavourakis, V., Hipwell, J.H., Stoyanov, D., Williams, N., ...Meetz, K. (2016). Breast conserving surgery outcome prediction: a patient-specific, integrated multi-modal imaging and mechano-biological modelling framework. In Tingberg, A., Lång, K. (Eds.), Breast Imaging. (pp. 274-281). Springer.
Vavourakis, V., Eiben, B., Hipwell, J.H., Williams, N.R., Keshtgar, M., Hawkes, D.J. (2016). BREAST-CONSERVING SURGERY: A VALIDATED 3D, MULTISCALE, MECHANO -BIOLOGICAL, MODELLING FRAMEWORK FOR SURGICAL PLANNING AND COSMETIC OUTCOME PREDICTION OF BREAST CANCER TREATMENT.
Mazomenos, E.B., Chang, P.-.L., Rippel, R.A., Rolls, A., Hawkes, D.J., Bicknell, C.D., ...Stoyanov, D. (2016). Catheter manipulation analysis for objective performance and technical skills assessment in transcatheter aortic valve implantation. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1121-1131. doi:10.1007/s11548-016-1391-6
Veiga, C., Landau, D., Devaraj, D., Hawkes, D., McClelland, J. (2016). Challenges in the registration of serial CT images from lung radiotherapy patients.
Reis, S., Gazinska, P., Hipwell, J.H., Mertzanidou, T., Naidoo, K., Pinder, S., Hawkes, D.J. (2016). Classification of Breast Cancer Stroma as a Tool for Prognosis.
Gabel, M., Tsermentseli, S., Goldstein, L.H., Al-Chalabi, A., Young, A., Alexander, D., ...Cercignani, M. (2016). COGNITIVE IMPAIRMENT OCCURS BEFORE LOSS OF FUNCTION IN ALS.
Du, X., Allan, M., Dore, A., Ourselin, S., Hawkes, D., Kelly, J.D., Stoyanov, D. (2016). Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1109-1119. doi:10.1007/s11548-016-1393-4
Rowe, M., Siow, B., Alexander, D.C., Ferizi, U., Richardson, S. (2016). Concepts of diffusion in MRI. In Diffusion Tensor Imaging: A Practical Handbook. (pp. 23-35). .
Shemesh, N., Jespersen, S.N., Alexander, D.C., Cohen, Y., Drobnjak, I., Dyrby, T.B., ...Laun, F. (2016). Conventions and Nomenclature for Double Diffusion Encoding NMR and MRI. MAGNETIC RESONANCE IN MEDICINE, 75 (1), 82-87. doi:10.1002/mrm.25901
Broad, R., Gabel, M., Dowell, N., Zhang, G., Alexander, D., Cercignani, M., Leigh, P.N. (2016). CORRELATION ANALYSIS OF NEURITE ORIENTATION DISPERSION & DENSITY IMAGING IN MND.
Ghosh, A., Alexander, D., Zhang, H. (2016). Crossing Versus Fanning: Model Comparison Using HCP Data. In Fuster, A., Ghosh, A., Kaden, E., Rathi, Y., Reisert, M. (Eds.), Computational Diffusion MRI - CDMRI 2016. (pp. 159-169). Springer.
Hu, Y., Kasivisvanathan, V., Simmons, L., Clarkson, M., Thompson, S., Shah, T., ...Emberton, M. (2016). Development and Phantom Validation of a 3D-Ultrasound-Guided System for Targeting MRI-visible Lesions during Transrectal Prostate Biopsy. IEEE Transactions on Biomedical Engineering,
Thompson, S.A., Schneider, C., Gurusamy, K., Hawkes, D., Davidson, B., Clarkson, M. (2016). Development, Validation, and Modelling of Image Guidance Systems for Surgery.
Pulkkinen, A., Cox, B.T., Arridge, S.R., Goh, H., Kaipio, J.P., Tarvainen, T. (2016). Direct Estimation of Optical Parameters from Photoacoustic Time Series in Quantitative Photoacoustic Tomography. IEEE Transactions on Medical Imaging, 35 (11), 2497-2508. doi:10.1109/TMI.2016.2581211
Jiao, J., Bousse, A., Thielemans, K., Burgos, N., Weston, P., Markiewicz, P., ...Hutton, B. (2016). Direct Parametric Reconstruction with Joint Motion Estimation/Correction for Dynamic Brain PET Data.. IEEE Trans Med Imaging, doi:10.1109/TMI.2016.2594150
Ianuş, A., Shemesh, N., Alexander, D.C., Drobnjak, I. (2016). Double oscillating diffusion encoding and sensitivity to microscopic anisotropy. Magnetic Resonance in Medicine, doi:10.1002/mrm.26393
Ganepola, T., Zhang, J., Zhang, H., Sereno, M., Alexander, D. (2016). Evaluation of diffusion MRI based feature sets for the classification of primary motor and somatosensory cortical areas.
Hawkes, D.J. (2016). From clinical imaging and computational models to personalised medicine and image guided interventions.. Medical image analysis, doi:10.1016/j.media.2016.06.022
Eshaghi, A., Ciccarelli, O., Wottschel, V., Cortese, R., Calabrese, M., Sahraian, M.A., ...Alexander, D. (2016). Gray matter MRI differentiates neuromyelitis optica from multiple sclerosis using random-forest. Neurology, 87 (23), 2463-2470. doi:10.1212/WNL.000000000000339
Thompson, S., Stoyanov, D., Schneider, C., Gurusamy, K., Ourselin, S., Davidson, B., ...Clarkson, M.J. (2016). Hand-eye calibration for rigid laparoscopes using an invariant point. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1071-1080. doi:10.1007/s11548-016-1364-9
Ban, H.Y., Schweiger, M.J., Kavuri, V.C., Cochran, J.M., Xie, L., Busch, D., ...Lee, K. (2016). Heterodyne frequency-domain multispectral diffuse optical tomography of breast cancer in the parallel-plane transmission geometry. Medical Physics, 43 (7),
Jacobs, J.G., Johnston, E., Freeman, A., Patel, D., Rodriguez-Justo, M., Atkinson, D., ...Panagiotaki, E. (2016). Histological validation of VERDICT cellularity map in a prostatectomy case.
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2016). Image reconstruction with noise and error modelling in quantitative photoacoustic tomography.
O Connor, J.P.B., Aboagye, E.O., Adams, J.E., Aerts, H.J.W.L., Barrington, S.F., Beer, A.J., ...Brown, G. (2016). Imaging biomarker roadmap for cancer studies. Nature reviews Clinical oncology, doi:10.1038/nrclinonc.2016.162
Eshaghi, A., Prados, F., Brownlee, W., Tur, C., van de Pavert, S.H.P., Cawley, N., ...Stromillo, M.L. (2016). Imaging signature of multiple sclerosis phenotypes in grey matter..
Erlandsson, K., Liljeroth, M., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F. (2016). Improved Parameter-Estimation With MRI-Constrained PET Kinetic Modeling: A Simulation Study. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 63 (5), 2464-2470. doi:10.1109/TNS.2015.2507444
Kumar, S., Lockwood, N., Ramel, M.C., Correia, T., Ellis, M., Alexandrov, Y., ...Dallman, M.J. (2016). In vivo multiplexed OPT and FLIM OPT of an adult zebrafish cancer disease model.
Wottschel, V., Alexander, D.C., Chard, D.T., Enzinger, C., Filippi, M., Frederiksen, J.L., ...Rovira, A. (2016). Individual prediction of clinically definite MS in patients presenting with clinically isolated syndrome using machine learning.
Jones, G., Clancy, N.T., Arridge, S.R., Elson, D.S., Stoyanov, D. (2016). Inference of Tissue Haemoglobin Concentration from Stereo RGB..
Jones, G., Clancy, N., Arridge, S., Elson, D., stoyanov, D. (2016). Inference of Tissue Haemoglobin Concentration From Stereo RGB.
Markiewicz, P., Schott, J., Atkinson, D., Arridge, S., Hutton, B., Ourselin, S. (2016). Infrastructure for efficient multi-component uncertainty estimation of SUVR values in amyloid PET imaging.
Johnston, E.W., Pye, H., Bonet-Carne, E., Panagiotaki, E., Patel, D., G.a.l.a.z.i., ...Trevisan, G. (2016). INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer.. BMC Cancer, doi:10.1186/s12885-016-2856-2
Johnston, E.W., Pye, H., Bonet-Carne, E., Panagiotaki, E., Patel, D., G.a.l.a.z.i., ...Trevisan, G. (2016). INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer.. BMC Cancer, doi:10.1186/s12885-016-2856-2
Hill, E.R., Xia, W., Nikitichev, D., Gurusamy, K., Beard, P., Hawkes, D.J., ...Desjardins, A. (2016). Interventional multi-spectral photoacoustic imaging in laparoscopic surgery.
Arridge, S.R., Schweiger, M., Schotland, J.C. (2016). Inverse models of light transport. In Handbook of Biomedical Optics. (pp. 337-358). .
Manber, R., Thielemans, K., Hutton, B.F., Wan, S., McClelland, J., Barnes, A., ...Atkinson, D. (2016). Joint PET-MR respiratory motion models for clinical PET motion correction.. Physics in medicine and biology, 61 (17), 6515-6530. doi:10.1088/0031-9155/61/17/6515
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F., Thielemans, K. (2016). Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT.. Physics in Medicine and Biology, 61 (3), L11-L19. doi:10.1088/0031-9155/61/3/L11
Ianus, A., Alexander, D.C., Drobnjak, I. (2016). Microstructure Imaging Sequence Simulation Toolbox.
Bailey, C.E.M., Siow, B., Panagiotaki, E., Hipwell, J.H., Pinder, S.E., Alexander, D.C., Hawkes, D.J. (2016). Microstructure models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
Bailey, C.E.M., Siow, B., Panagiotaki, E., Hipwell, J.H., Mertzanidou, T., Owen, J., ...Hawkes, D.J. (2016). Microstructure models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study. NMR in Biomedicine, doi:10.1002/nbm.3679
Bailey, C.E.M., Siow, B., Panagiotaki, E., Hipwell, J.H., Mertzanidou, T., Owen, J., ...Hawkes, D.J. (2016). Microstructure models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study. NMR in Biomedicine, doi:10.1002/nbm.3679
Bailey, C.E.M., Siow, B., Panagiotaki, E., Hipwell, J.H., Pinder, S.E., Alexander, D.C., Hawkes, D.J. (2016). Microstructure models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
Devine, W., Johnston, E., Bonet-Carne, E., Punwani, S., Alexander, D.C., Atkinson, D. (2016). Microstructure prostate cancer heterogeneity using diffusivity distributions.
Ianus, A., Drobnjak, I., Alexander, D.C. (2016). Model-based estimation of microscopic anisotropy using diffusion MRI: a simulation study. NMR in Biomedicine, doi:10.1002/nbm.3496
Kaden, E., Kelm, N.D., Carson, R.P., Does, M.D., Alexander, D.C. (2016). Multi-compartment microscopic diffusion imaging.. NeuroImage, doi:10.1016/j.neuroimage.2016.06.002
Cochran, J.M., Ban, H.Y., Busch, D.R., Schweiger, M.J., Kavuri, V.C., Pathak, S., ...Yodh, A.G. (2016). Multimodal structural priors for spatially-dense diffuse optical tomography of breast cancer.
Cochran, J.M., Ban, H.Y., Busch, D.R., Schweiger, M.J., Kavuri, V.C., Pathak, S., ...Yodh, G. (2016). Multimodal structural priors for spatially-dense diffuse optical tomography of breast cancer.
Wijeratne, P., Vavourakis, V., Hipwell, J.H., Shipley, R., Stylianopoulos, T., Evans, A., ...Hawkes, D.J. (2016). MULTISCALE BIPHASIC MODELLING OF TUMOUR GROWTH: THE EFFECT OF COLLAGEN MICROMECHANICS ON DRUG DELIVERY.
Vavourakis, V., Eiben, B., Hipwell, J.H., Williams, N.R., Keshtgar, M., Hawkes, D.J. (2016). Multiscale mechano-biological finite element modelling of oncoplastic breast surgery - Numerical study towards surgical planning and cosmetic outcome prediction. PLoS ONE, 11 (7), doi:10.1371/journal.pone.0159766
Wijeratne, P.A., Vavourakis, V., Hipwell, J.H., Voutouri, C., Papageorgis, P., Stylianopoulos, T., ...Hawkes, D.J. (2016). Multiscale modelling of solid tumour growth: the effect of collagen micromechanics. BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 15 (5), 1079-1090. doi:10.1007/s10237-015-0745-2
Malone, E., Cox, B., Arridge, S. (2016). Multispectral reconstruction methods for quantitative photoacoustic tomography.
Zhang, J., Slattery, C., Paterson, R., Foulkes, A., Mancini, L., Thomas, D.L., ...Thornton, J. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) in Young Onset Alzheimer's Disease and Its Syndromic Variants.
Bonet-Carne, E., Daducci, A., Panagiotaki, E., Johnston, E., Stevens, N., Atkinson, D., ...Alexander, D.C. (2016). Non-invasive quantification of prostate cancer using AMICO framework for VERDICT MRI.
Bonet-Carne, E., Johnston, E., Daducci, A., Saborowska, A., Atkinson, D., Punwani, S., ...Panagiotaki, E. (2016). Non-invasive quantification of prostate cancer with VERDICT MRI: A repeatability study.
arridge, S., betcke, M., Cox, B.T., Lucka, F., Treeby, B. (2016). On the Adjoint Operator in Photoacoustic Tomography. Inverse Problems, doi:10.1088/0266-5611/32/11/115012
Sepehrband, F., Alexander, D.C., Clark, K.A., Kurniawan, N.D., Yang, Z., Reutens, D.C. (2016). Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum. FRONTIERS IN NEUROANATOMY, 10 doi:10.3389/fnana.2016.00059
Correia, T., Arridge, S. (2016). Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography-part 1: technical principles. Physics in Medicine & Biology, 61 (4), 1439-1451. doi:10.1088/0031-9155/61/4/1439
Correia, T., Koch, M., Ale, A., Ntziachristos, V., Arridge, S. (2016). Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography-part 2: image reconstruction. PHYSICS IN MEDICINE AND BIOLOGY, 61 (4), 1452-1475. doi:10.1088/0031-9155/61/4/1452
Tsai, Y.J., Bousse, A., Ehrhardt, M.J., Hutton, B.F., Arridge, S., Thielemans, K. (2016). Performance evaluation of MAP algorithms with different penalties, object geometries and noise levels.
Ehrhardt, M.J., Markiewicz, P., Liljeroth, M., Barnes, A., Kolehmainen, V., Duncan, J.S., ...Ourselin, S. (2016). PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets. IEEE Transactions on Medical Imaging, 1. doi:10.1109/TMI.2016.2549601
Ehrhardt, M.J., Markiewicz, P., Liljeroth, M., Barnes, A., Kolehmainen, V., Duncan, J.S., ...Ourselin, S. (2016). PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets.. IEEE Trans. Medical Imaging, 35 2189-2199. doi:10.1109/TMI.2016.2549601
Drobnjak, I., Zhang, H., Ianuş, A., Kaden, E., Alexander, D.C. (2016). PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study. Magnetic Resonance in Medicine, 75 (2), 688-700. doi:10.1002/mrm.25631
Denholm, R., De Stavola, B., Hipwell, J.H., Doran, S.J., Busana, M.C., Eng, A., ...Dos Santos Silva, I. (2016). Pre-natal exposures and breast tissue composition: findings from a British pre-birth cohort of young women and a systematic review.. Breast Cancer Res, 18 (1), 102. doi:10.1186/s13058-016-0751-z
Hayashi, Y., Misawa, K., Hawkes, D.J., Mori, K. (2016). Progressive internal landmark registration for surgical navigation in laparoscopic gastrectomy for gastric cancer. International Journal of Computer Assisted Radiology and Surgery, 11 (5), 837-845. doi:10.1007/s11548-015-1346-3
Frankel, P., Nicola Lockwood, Marie-Christine Ramel, Teresa Correia , Matthew Ellis , Rachel Patel , Sebastian Brandner, Simon Arridge , Matilda Katan, ,. (2016). Quantitative in vivo optical tomography of cancer progression & vasculature development in adult zebrafish.. Oncotarget,
Lockwood, N.J., Ramel, M.C., Ellis, M., Brandner, S., Arridge, S., Katan, M., Frankel, P. (2016). Quantitative in vivo optical tomography of cancer progression and vasculature development in adult zebrafish.
Hochuli, R., Powell, S., Arridge, S., Cox, B. (2016). Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance. Journal of Biomedical Optics, 21 (12), doi:10.1117/1.JBO.21.12.126004
Markiewicz, P.J., Thielemans, K., Schott, J.M., Atkinson, D., Arridge, S., Hutton, B., Ourselin, S. (2016). Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis. Physics in Medicine and Biology, 61 (13), doi:10.1088/0031-9155/61/13/N322
Powell, S., Dempsey, L.A., Cooper, R.J., Gibson, A.P., Hebden, J.C., Arridge, S.R. (2016). Real-time dynamic image reconstruction in time-domain diffuse optical tomography.
Ducros, N., Correia, T., Bassi, A., Valentini, G., Arridge, S., Cosimo, D. (2016). Reconstruction of an optical inhomogeneity map improves fluorescence diffuse optical tomography. Biomedical Physics and Engineering Express, 2 (5), doi:10.1088/2057-1976/2/5/055020
Johnston, E., Panagiotaki, E., Bonet-Carne, E., Stevens, N., Atkinson, D., Alexander, D., Punwani, S. (2016). Short term repeatability of microstructural (VERDICT) MRI vs. ADC in prostate cancer.
Bertolli, O., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2016). Sign determination methods for the respiratory signal in data-driven PET gating.
Huynh, N., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2016). Single-pixel optical camera for video rate ultrasonic imaging. Optica, 3 (1), 26-29. doi:10.1364/OPTICA.3.000026
Eiben, B., Vavourakis, V., Hipwell, J.H., Kabus, S., Lorenz, C., Buelow, T., ...Hawkes, D.J. (2016). Surface Driven Biomechanical Breast Image Registration.
Eiben, B., Vavourakis, V., Hipwell, J.H., Kabus, S., Buelow, T., Lorenz, C., ...Keshtgar, M. (2016). Symmetric Biomechanically Guided Prone-to-Supine Breast Image Registration. Annals of Biomedical Engineering, 44 (1), 154-173. doi:10.1007/s10439-015-1496-z
Zhang, J., Ghosh, A.U.R.O.B.R.A.T.A., Alexander, D.A.N.I.E.L., Zhang, H.U.I. (2016). The lifespan trajectory of white matter microstructure detected by NODDI.
Vavourakis, V., Wijeratne, P., Shipley, R., Stylianopoulos, T., Hawkes, D.J. (2016). The Mechanical Underpinning of Tumour-induced Angiogenesis and Growth.
Farina, A., Betcke, M., Ducros, N., Di Sieno, L., Bassi, A., Pifferi, A., ...D'Andrea, C. (2016). Time-resolved Diffuse Optical Tomography based on Single pixel camera.
Sepehrband, F., Alexander, D.C., Kurniawan, N.D., Reutens, D.C., Yang, Z. (2016). Towards higher sensitivity and stability of axon diameter estimation with diffusion-weighted MRI.. NMR in Biomedicine, 29 (3), 293-308. doi:10.1002/nbm.3462
Markiewicz, P.J., Ehrhardt, M.J., Atkinson, D., Arridge, S.R., Hutton, B.F., Ourselin, S. (2016). Uniform acquisition modelling across PET imaging systems: unified scatter modelling.
Schneider, C., Johnson, S.P., Walker-Samuel, S., Gurusamy, K., Clarkson, M.J., Thompson, S., ...Desjardins, A.E. (2016). Utilizing confocal laser endomicroscopy for evaluating the adequacy of laparoscopic liver ablation. Lasers in Surgery and Medicine, 48 (3), 299-310. doi:10.1002/lsm.22464
Mertzanidou, T., Hipwell, J.H., Reis, S., Bejnordi, B.E., Hermsen, M., Dalmis, M., ...Karssemeijer, N. (2016). Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology.

2015

Morin, R., Eiben, B., Bidaut, L., Hipwell, J., Evans, A., Hawkes, D.J. (2015). 3D ULTRASOUND SIMULATION BASED ON A BIOMECHANICAL MODEL OF PRONE MRI IN BREAST CANCER IMAGING.
van 't Wout, E., Gélat, P., Betcke, T., Arridge, S. (2015). A fast boundary element method for the scattering analysis of high-intensity focused ultrasound. Journal of the Acoustical Society of America, 138 (5), 2726-2737. doi:10.1121/1.4932166
McClelland, J., Modat, M., Champion, B.A.S., Kaza, E., Collins, D.J., Leach, M.O., Hawkes, D.J. (2015). A framework combining image registration, respiratory motion models, and motion compensated image reconstruction.
Huynh, N., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2015). A real-time ultrasonic field mapping system using a Fabry Perot single pixel camera for 3D photoacoustic imaging.
Malone, E., Dos Santos, G.S., Holder, D., Arridge, S. (2015). A Reconstruction-Classification Method for Multifrequency Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, 34 (7), 1486-1497.
Young, A.L., Oxtoby, N.P., Ourselin, S., Schott, J.M., Alexander, D.C. (2015). A simulation system for biomarker evolution in neurodegenerative disease. Medical Image Analysis, 26 (1), 47-56. doi:10.1016/j.media.2015.07.004
Auria, A., Romascano, D., Canales-Rodriguez, E., Wiau, Y., Dirby, T.B., Alexander, D., ...Daducci, A. (2015). ACCELERATED MICROSTRUCTURE IMAGING VIA CONVEX OPTIMISATION FOR REGIONS WITH MULTIPLE FIBRES (AMICO(X)).
Correia, T., Lockwood, N., Kumar, S., Yin, J., Ramel, M.C., Andrews, N., ...McGinty, J. (2015). Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish. PLoS One, 10 (8), doi:10.1371/journal.pone.0136213
Thompson, S., Totz, J., Song, Y., Stoyanov, D., Ourselin, S., Hawkes, D., Clarkson, M. (2015). Accuracy validation of an image guided laparoscopy system for liver resection.
Ganepola, T., Nagy, Z., Alexander, D., Sereno, M. (2015). An unsupervised group average cortical parcellation using HARDI data.
Batalle, D., Hughes, E., Zhang, H., Tournier, J.-.D., Tusor, N., Aljabar, P., ...Counsell, S.J. (2015). Analysis of In Vivo Microstructural Features During the First Weeks of Life Using Structural Brain Networks.
Hayashi, Y., Misawa, K., Oda, M., Hawkes, D.J., Mori, K. (2015). Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer. International Journal of Computer Assisted Radiology and Surgery, 11 (5), 827-836. doi:10.1007/s11548-015-1293-z
Johnsen, S.F. (2015). Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation.
White, M.J., Thornton, J.S., Hawkes, D.J., Hill, D.L.G., Kitchen, N., Mancini, L., ...Yousry, T. (2015). Design, operation, and safety of single-room interventional MRI suites: Practical experience from two centers. Journal of Magnetic Resonance Imaging, 41 (1), 34-43. doi:10.1002/jmri.24577
White, M.J., Thornton, J.S., Hawkes, D.J., Hill, D.L.G., Kitchen, N., Mancini, L., ...Yousry, T. (2015). Design, operation, and safety of single-room interventional MRI suites: practical experience from two centers.. JOURNAL OF MAGNETIC RESONANCE IMAGING, 41 (1), 34-43. doi:10.1002/jmri.24577
Jiao, J., Markiewicz, P., Burgos, N., Atkinson, D., Hutton, B., Arridge, S., Ourselin, S. (2015). Detail-Preserving PET reconstruction with sparse image representation and anatomical priors.
Jiao, J., Markiewicz, P., Burgos, N., Atkinson, D., Hutton, B., Arridge, S., Ourselin, S. (2015). Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.. Information Processing in Medical Imaging, 24 540-551.
Johnsen, S.F., Taylor, Z.A., Han, L., Hu, Y., Clarkson, M.J., Hawkes, D.J., Ourselin, S. (2015). Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. International Journal of Computer Assisted Radiology and Surgery, 1-19. doi:10.1007/s11548-014-1142-5
Farina, A., Lepore, M., Di Sieno, L., Dalla Mora, A., Ducros, N., Pifferi, A., ...D'Andrea, C. (2015). Diffuse optical tomography by using time-resolved single pixel camera.
Norris, F.C., Siow, B.M., Cleary, J.O., Wells, J.A., De Castro, S.C.P., Ordidge, R.J., ...Alexander, D.C. (2015). Diffusion microscopic MRI of the mouse embryo: Protocol and practical implementation in the splotch mouse model.. Magnetic Resonance in Medicine, 73 (2), 731-739. doi:10.1002/mrm.25145
Schneider, T., Nejati-Gilani, G., Tachrount, M., Ying, L., Hill, A.M., Ciccarelli, O., ...Wheeler-Kingshott, C.A.M. (2015). Diffusion MRI reveals tissue specific changes in early and late stages of degeneration within the spinal cord..
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., Thielemans, K. (2015). Direct Joint Motion Estimation/Image Reconstruction in Attenuation-Corrected Gated PET/CT Using a Single CT.
Shemesh, N., Ianus, A., Alexander, D., Drobnjak, I. (2015). Double Oscillating Diffusion Encoding (DODE) augments microscopic anisotropy contrast.
Powell, S., Cooper, R.J., Hebden, J.C., Arridge, S.R. (2015). Dynamic image reconstruction in time-resolved diffuse optical tomography.
Lorenzi, M., Ziegler, G., Alexander, D.C., Ourselin, S. (2015). Efficient gaussian process-based modelling and prediction of image time series. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9123 626-637. doi:10.1007/978-3-319-19992-4_49
Brigadoi, S., Powell, S., Cooper, R.J., Dempsey, L.A., Arridge, S., Everdell, N., ...Gibson, A.P. (2015). Evaluating real-time image reconstruction in diffuse optical tomography using physiologically realistic test data. BIOMEDICAL OPTICS EXPRESS, 6 (12), 4719-4736. doi:10.1364/BOE.6.004719
Schneider, C., Thompson, S., Totz, J., Song, Y., Johnsen, S., Stoyanov, D., ...Clarkson, M. (2015). EVALUATION OF A NOVEL SYSTEM FOR IMAGE GUIDED LAPAROSCOPIC LIVER SURGERY IN AN ANIMAL MODEL AND FIRST CLINICAL EXPERIENCE.
Dalla Mora, A., Martinenghi, E., Contini, D., Tosi, A., Boso, G., Durduran, T., ...Torricelli, A. (2015). Fast silicon photomultiplier improves signal harvesting and reduces complexity in time-domain diffuse optics. OPTICS EXPRESS, 23 (11), 13937-13946. doi:10.1364/OE.23.013937
Lehtikangas, O., Tarvainen, T., Kim, A.D., Arridge, S.R. (2015). Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index. Journal of Computational Physics, 282 345-359. doi:10.1016/j.jcp.2014.11.025
Powell, S., Arridge, S.R., Leung, T.S. (2015). First-harmonic sensitivity functions for a linearised diffusion model of ultrasound-modulated optical tomography. PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2015, 9323 doi:10.1117/12.2077435
Hochuli, R., Powell, S., Arridge, S., Cox, B. (2015). Forward and Adjoint Radiance Monte Carlo Models for Quantitative Photoacoustic Imaging. PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2015, 9323 doi:10.1117/12.2081407
H.o.c.h.u.l.i., Powell, S., Arridge, S., Cox, B. (2015). Forward and Adjoint Radiance Monte Carlo Models for Quantitative Photoacoustic Imaging.
Powell, S., Arridge, S.R., Leung, T.S. (2015). Gradient-based quantitative image reconstruction in ultrasound-modulated optical tomography: first harmonic measurement type in a linearised diffusion formulation. Medical Imaging, IEEE Transactions on, PP (99), 1. doi:10.1109/TMI.2015.2478742
Grussu, F., Schneider, T., Yates, R.L., Tachrount, M., Newcombe, J., Zhang, H., ...Wheeler-Kingshott, C.A.M. (2015). Histological metrics confirm microstructural characteristics of NODDI indices in multiple sclerosis spinal cord.
Allan, M., Chang, P.-.L., Ourselin, S., Hawkes, D.J., Sridhar, A., Kelly, J., Stoyanov, D. (2015). Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow.
Alexander, D.C., Zikic, D., Wottschel, V., Zhang, J., Zhang, H., Criminisi, A. (2015). Image Quality Transfer: Exploiting Bespoke High-Quality Data to Enhance Everyday Acquisitions.
Sari, H., Erlandsson, K., Thielemans, K., Atkinson, D., Ourselin, S., Arridge, S., Hutton, B.F. (2015). Incorporation of MRI-AIF information for improved kinetic modeling of dynamic PET data.. IEEE Transactions on Nuclear Science,
Bousse, A., Jiao, J., Thielemans, K., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F. (2015). Joint direct motion estimation/kinetic images reconstruction from gated PET DATA.
Ehrhardt, M., Thielemans, K., Pizarro, L., Atkinson, D., Ourselin, S., Hutton, B., Arridge, S. (2015). Joint reconstruction of PET-MRI by exploiting structural similarity. Inverse Problems, 31 doi:10.1088/0266-5611/31/1/015001
Schneider, C., Desjardins, A.E., Gurusamy, K., Hawkes, D.J., Davidson, B.R. (2015). Laparoscopic manipulation of a probe-based confocal laser endomicroscope using a steerable intravascular catheter.. Surg Laparosc Endosc Percutan Tech, 25 (2), e83-e85. doi:10.1097/SLE.0000000000000139
Song, Y., Totz, J., Thompson, S., Johnsen, S., Barratt, D., Schneider, C., ...Hawkes, D. (2015). Locally rigid, vessel-based registration for laparoscopic liver surgery. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 10 (12), 1951-1961. doi:10.1007/s11548-015-1236-8
Lacher, R.M., Hipwell, J.H., Williams, N.R., Keshtgar, M.R., Hawkes, D.J., Stoyanov, D. (2015). Low-cost surface reconstruction for aesthetic results assessment and prediction in breast cancer surgery.
Figini, M., Alexander, D.C., Redaelli, V., Fasano, F., Grisoli, M., Baselli, G., ...Bizzi, A. (2015). Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases. NEUROIMAGE-CLINICAL, 7 142-154. doi:10.1016/j.nicl.2014.11.017
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., Thielemans, K. (2015). Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT using a Single Attenuation Map.. IEEE Transactions on Medical Imaging, doi:10.1109/tmi.2015.2464156
Ianus, A., Drobnjak, I., Shemesh, N., Alexander, D. (2015). Metrics of microscopic anisotropy: a comparison study.
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H., O'Callaghan, J., Freeman, A., ...Alexander, D.C. (2015). Microstructural characterisation of normal and malignant human prostate tissue with VERDICT MRI. Investigative Radiology, 50 (4), 218-227. doi:10.1097/RLI.0000000000000115
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H., O'Callaghan, J., Freeman, A., ...Alexander, D.C. (2015). Microstructural characterisation of normal and malignant human prostate tissue with VERDICT MRI. Investigative Radiology, 50 (4), 218-227. doi:10.1097/RLI.0000000000000115
Clayden, J.D., Nagy, Z., Weiskopf, N., Alexander, D.C., Clark, C.A. (2015). Microstructural parameter estimation in vivo using diffusion MRI and structured prior information. Magnetic Resonance in Medicine, 75 (4), 1787-1796. doi:10.1002/mrm.25723
Reis, S., Eiben, B., Mertzanidou, T., Hipwell, J., Hermsen, M., van der Laak, J., ...Hawkes, D. (2015). Minimum Slice Spacing Required To Reconstruct 3D Shape For Serial Sections Of Breast Tissue For Comparison With Medical Imaging.
Ianus, A., Drobnjak, I., Alexander, D. (2015). Model-based estimation of microstructure parameters from diffusion MRI data in a substrate with microscopic anisotropy and a distribution of pore sizes.
Ianus, A., Drobnjak, I., Alexander, D. (2015). Model-based estimation of microstructure parameters from diffusion MRI in the presence of microscopic anisotropy and size dispersion.
Lorenzi, M., Ziegler, G., Alexander, D.C., Ourselin, S. (2015). Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.
Bailey, C., Panagiotaki, E., Tunariu, N., Orton, M.R., Morgan, V.A., Feiweier, T., ...Alexander, D.C. (2015). Modelling tissue microstructure in bone metastases from prostate cancer using VERDICT MRI.
Bailey, C., Panagiotaki, E., Tunariu, N., Orton, M.R., Morgan, V.A., Feiweier, T., ...Alexander, D.C. (2015). Modelling tissue microstructure in bone metastases from prostate cancer using VERDICT MRI.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2015). MR Image-based PET Respiratory Motion Correction in PET/MR.
Erlandsson, K., Dickson, J., Arridge, S., Atkinson, D., Ourselin, S., Hutton, B. (2015). MR Imaging–Guided partial volume correction of PET data in PET/MR imaging. PET Clinics, 11 161-177. doi:10.1016/j.cpet.2015.09.002
Burgos, N., Cardoso, M.J., Thielemans, K., Modat, M., Dickson, J., Schott, J., ...Ourselin, S. (2015). Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers. European Journal of Nuclear Medicine and Molecular Imaging, 42 (9), 1447-1458. doi:10.1007/s00259-015-3082-x
Young, A.L., Oxtoby, N.P., Huang, J., Marinescu, R.V., Daga, P., Cash, D.M., ...Alexander, D.C. (2015). Multiple orderings of events in disease progression.
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2015). Neurite orientation dispersion and density imaging of the cervical cord in vivo.
Grussu, F., Schneider, T., Zhang, H., Alexander, D., Wheeler-Kingshott, C. (2015). Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo. Neuroimage, 111 590-601. doi:10.1016/j.neuroimage.2015.01.045
Mozumder, M., Tarvainen, T., Seppanen, A., Nissila, I., Arridge, S.R., Kolehmainen, V. (2015). Nonlinear approach to difference imaging in diffuse optical tomography. Journal of Biomedical Optics, 20 (10), doi:10.1117/1.JBO.20.10.105001
Arridge, S., Cooper, R.J. (2015). Optical Image Reconstruction. In Brain Mapping: An Encyclopedic Reference. (pp. 217-222). .
Arridge, S.R., Kaipio, J.P., Kolehmainen, V., Tarvainen, T. (2015). Optical imaging. In Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. (pp. 1033-1079). .
Panagiotaki, E., Ianus, A., Johnston, E., Chan, R.W., Atkinson, D., P.u.n.w.a.n.i., ...Alexander, D. (2015). Optimised VERDICT MRI protocol for prostate cancer characterisation.
Panagiotaki, E., Ianus, A., Johnston, E., Chan, R.W., Atkinson, D., P.u.n.w.a.n.i., ...Alexander, D. (2015). Optimised VERDICT MRI protocol for prostate cancer characterisation.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2015). Practical PET respiratory motion correction in clinical simultaneous PET/MR. Journal of Nuclear Medicine, 56 (6), 890-896. doi:10.2967/jnumed.114.151779
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2015). Practical PET respiratory motion correction in clinical PET/MR.
Ourselin, S., Alexander, D.C., Westin, C.F., Cardoso, M.J. (2015). Preface. .
Ourselin, S., Alexander, D.C., Westin, C.F., Cardoso, M.J. (2015). Preface. 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015. Proceedings. Information processing in medical imaging : proceedings of the ... conference, 24 V-VII.
Grussu, F., Schneider, T., Yates, R.L., Tachrount, M., Zhang, H., Alexander, D.C., ...Wheeler-Kingshott, C.A.M. (2015). Quantitative histological correlates of NODDI orientation dispersion estimates in the human spinal cord.
Grussu, F., Schneider, T., Yates, R.L., Tachrount, M., Tur, C., Newcombe, J., ...Wheeler-Kingshott, C.A.M. (2015). Quantitative histological validation of NODDI MRI indices of neurite morphology in multiple sclerosis spinal cord.
Kaden, E., Kruggel, F., Alexander, D.C. (2015). Quantitative mapping of the per-axon diffusion coefficients in brain white matter. Magnetic Resonance in Medicine, 75 (4), 1752-1763. doi:10.1002/mrm.25734
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2015). Quantitative photoacoustic tomography using illuminations from a single direction.. Journal of Biomedical Optics, 20 (3), doi:10.1117/1.JBO.20.3.036015
Malone, E., Powell, S., Cox, B.T., Arridge, S. (2015). Reconstruction-classification method for quantitative photoacoustic tomography. Journal of Biomedical Optics, 20 (12), doi:10.1117/1.JBO.20.12.126004
Burgos, N.F., Cardoso, M.J., Guerreiro, F., Veiga, C., Modat, M., McClelland, J., ...Arridge, S.R. (2015). Robust CT Synthesis for Radiotherapy Planning: Application to the Head & Neck Region.
Smigaj, W., Arridge, S., Betcke, T., Phillips, J., Schweiger, M. (2015). Solving Boundary Integral Problems with BEM++. ACM Transactions on Mathematical Software, doi:10.1145/2590830
Burgos, N.F., Cardoso, M.J., Mendelson, A.F., Schott, J.M., Atkinson, D., Arridge, S.R., ...Ourselin, S. (2015). Subject-specific Models for the Analysis of Pathological FDG PET Data.
Filippidou, N., Krashias, G., Pericleous, C., Rahman, A., Giles, I., Ioannou, Y., ...Lambrianides, A. (2015). The association between IgM and IgG antibodies against cardiolipin, beta 2-glycoprotein I and Domain I of beta 2-glycoprotein I with disease profile in patients with multiple sclerosis.
Contini, D., Dalla Mora, A., Arridge, S., Martelli, F., Tosi, A., Boso, G., ...Torricelli, A. (2015). Time-domain diffuse optics: towards next generation devices.
Nedjati-Gilani, G., Alexander, D.C. (2015). Tissue Microstructure Imaging with Diffusion MRI. In Brain Mapping: An Encyclopedic Reference. (pp. 277-285). .
Dalla Mora, A., Contini, D., Arridge, S.R., Martelli, F., Tosi, A., Boso, G., ...Torricelli, A. (2015). Towards next generation time-domain diffuse optics devices.
Dalla Mora, A., Contini, D., Arridge, S., Martelli, F., Tosi, A., Boso, G., ...Torricelli, A. (2015). Towards next-generation time-domain diffuse optics for extreme depth penetration and sensitivity. BIOMEDICAL OPTICS EXPRESS, 6 (5), 1749-1760. doi:10.1364/BOE.6.001749
Ferizi, U., Schneider, T., Witzel, T., Wald, L.L., Zhang, H., Wheeler-Kingshott, C.A., Alexander, D.C. (2015). White matter compartment models for in vivo diffusion MRI at 300mT/m. Neuroimage, 118 468-483. doi:10.1016/j.neuroimage.2015.06.027
Dempsey, L.A., Cooper, R.J., Powell, S., Edwards, A., Lee, C.-.W., Brigadoi, S., ...Austin, T. (2015). Whole-head functional brain imaging of neonates at cot-side using time-resolved diffuse optical tomography.
Drobnjak, I., Zhang, H., Ianus, A., Kaden, E., Alexander, D.C. (2015). Why Should Axon Diameter Mapping Use Low Frequency OGSE? Insight from Simulation.

2014

Allan, M., Thompson, S., Clarkson, M., Ourselin, S., Hawkes, D., Kelly, J., Stoyanov, D. (2014). 2D-3D pose tracking of rigid instruments in minimally invasive surgery.
Brigadoi, S., Aljabar, P., Kuklisova-Murgasova, M., Arridge, S.R., Cooper, R.J. (2014). A 4D neonatal head model for diffuse optical imaging of pre-term to term infants.. NEUROIMAGE, 100 385-394. doi:10.1016/j.neuroimage.2014.06.028
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2014). A Bayesian approach to spectral quantitative photoacoustic tomography. INVERSE PROBLEMS, 30 (6), doi:10.1088/0266-5611/30/6/065012
Young, A.L., Oxtoby, N.P., Daga, P., Cash, D.M., Fox, N.C., Ourselin, S., ...Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2014). A data-driven model of biomarker changes in sporadic Alzheimer's disease.. Brain, 137 (9), 2564-2577. doi:10.1093/brain/awu176
Han, L., Hawkes, D.J., Barratt, D.C. (2014). A hybrid biomechanical model-based image registration method for sliding objects.
Han, L., Hipwell, J., Eiben, B., Barratt, D.C., Ourselin, S., Hawkes, D.J. (2014). A Non-linear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2013.2294539
Kazantsev, D., Ourselin, S., Hutton, B.F., Lionheart, W.R.B., Arridge, S.A. (2014). A novel technique to incorporate structural prior information into multi-modal tomographic reconstruction. Inverse problems, 30
Alessandro, D., Canales-Rodriguez, E.J., Zhang, H., Dyrby, T.B., Alexander, D.C., Thiran, J.-.P. (2014). Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. Neuroimage, 105 32-44. doi:10.1016/j.neuroimage.2014.10.026
Alexander, D., Assaf, Y. (2014). Advanced methods to study white matter microstructure. In Cohen-Adad, J., Wheeler-Kingshott, C.A.M. (Eds.), Quantitative MRI of the Spinal Cord. Academic Press.
Bousse, A., Jiao, J., Pizarro, L., Thielemans, K., Atkinson, D., Ourselin, S., ...Hutton, B.F. (2014). An algorithm for direct 4-D PET image reconstruction/non-rigid motion estimation with limited MRI prior information.
Pulkkinen, A., Kolehmainen, V., Kaipio, J.P., Cox, B.T., Arridge, S.R., Tarvainen, T. (2014). APPROXIMATE MARGINALIZATION OF UNKNOWN SCATTERING IN QUANTITATIVE PHOTOACOUSTIC TOMOGRAPHY. INVERSE PROBLEMS AND IMAGING, 8 (3), 811-829. doi:10.3934/ipi.2014.8.811
Kunz, N., Zhang, H., Vasung, L., O'Brien, K.R., Assaf, Y., Lazeyras, F., ...Hüppi, P.S. (2014). Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models.. Neuroimage, doi:10.1016/j.neuroimage.2014.03.057
Burgos, N., Cardoso, M.J., Thielemans, K., Modat, M., Pedemonte, S., Dickson, J., ...Schott, J.M. (2014). Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies.. IEEE Trans Med Imaging, 33 (12), 2332-2341. doi:10.1109/TMI.2014.2340135
Burgos, N., Cardoso, M.J., Thielemans, K., Duncan, J.S., Atkinson, D., Arridge, S.R., ...Ourselin, S. (2014). Attenuation correction synthesis for hybrid PETMR scanners: Validation for brain study applications.
Kaden, E., Kruggel, F., Alexander, D.C. (2014). Bayesian Estimation of the Axonal Diffusion Coefficients in Brain White Matter.
Eiben, B., Vavourakis, V., Hipwell, J.H., Kabus, S., Lorenz, C., Buelow, T., Hawkes, D.J. (2014). Breast deformation modelling: comparison of methods to obtain a patient specific unloaded configuration.
Martin, J., McClelland, J., Champion, B., Hawkes, D.J. (2014). Building surrogate-driven motion models from cone-beam CT via surrogate-correlated optical flow.
Nagy, Z., Ganepola, T., Sereno, M., Weiskopf, N., Alexander, D. (2014). Combining HARDI datasets with more than one b-value improves diffusion MRI-based cortical parcellation.
McClelland, J.R., Champion, B.A.S., Hawkes, D.J. (2014). Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction.
Mozumder, M., Tarvainen, T., Kaipio, J.P., Arridge, S.R., Kolehmainen, V. (2014). Compensation of modeling errors due to unknown domain boundary in diffuse optical tomography. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 31 (8), 1847-1855. doi:10.1364/JOSAA.31.001847
Roth, H.R., Hampshire, T.E., Helbren, E., Hu, M., Vega, R., Halligan, S., Hawkes, D.J. (2014). Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. MEDICAL IMAGING 2014: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 9036 doi:10.1117/12.2042860
Johnson, S.P., Schneider, C., Desjardins, A., Walker-Samuel, S., Hawkes, D. (2014). Confocal fluorescence endomicroscopy in vivo for the detection of tumour microenvironment and healthy tissue margin. EUROPEAN JOURNAL OF CANCER, 50 S168-S169. doi:10.1016/S0959-8049(14)50618-1
Ehrhardt, M., Thielemans, K., Pizarro, L., Markiewicz, P., Atkinson, D., Ourselin, S., ...Arridge, S. (2014). Correct A Priori Information Modelling for Sparse MRI Reconstruction.
Drobnjak, I., Cruz, G., Alexander, D.C. (2014). Corrigendum to "Optimising oscillating waveform-shape for pore size sensitivity in diffusion-weighted MR" [Micropor. Mesopor. Mater. 178 (2013) 11-14] (DOI:10.1016/j.micromeso.2013.03.004). MICROPOROUS AND MESOPOROUS MATERIALS, 196 360. doi:10.1016/j.micromeso.2014.03.001
Helbren, E., Roth, H.R., Hampshire, T.E., Pickhardt, P.J., Taylor, S.A., Hawkes, D.J., Halligan, S. (2014). CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studies.. RADIOLOGY, 273 (2), 417-424. doi:10.1148/radiol.14140473
Jones, G., Clancy, N., Arridge, S., Elson, D., Stoyanov, D. (2014). Deblurring multispectral laparoscopic images.
Jones, G., Clancy, N., Arridge, S., Elson, D., Stoyanov, D. (2014). Deblurring multispectral laparoscopic images.
Dikaios, N., Atkinson, D. (2014). Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhancement MRI. Medical Image Analysis, 18 (7), 989-1001. doi:10.1016/j.media.2014.05.001
Dikaios, N., Tremoulheac, B., Menys, A., Arridge, S., Atkinson, D. (2014). Discrete shearlets as a sparsifying transform in a split Bregman reconstruction of low-rank plus sparse component from undersampled (k, t)-space small bowel data.
Sahraian, M.A., Wottschel, V., Calabrese, M., Eshaghi, A., Alexander, D., Ciccarelli, O. (2014). Distinction between neuromyelitis optica and multiple sclerosis using multi-voxel pattern classification.
Tremoulheac, B.R., Dikaios,, N., Atkinson,, D., Arridge, S. (2014). Dynamic MR image reconstruction–separation from undersampled (k,t)-space via low-rank plus sparse prior. IEEE Transactions on Medical Imaging, 33 (8), 1689-1701. doi:10.1109/TMI.2014.2321190
Burgos, N., Thielemans, K., Cardoso, M.J., Markiewicz, P., Jiao, J., Dickson, J., ...Hutton, B.F. (2014). Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR.
Fuin, N., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B.F. (2014). Efficient determination of the uncertainty for the optimization of SPECT system design: a subsampled fisher information matrix.. IEEE Trans Med Imaging, 33 (3), 618-635. doi:10.1109/TMI.2013.2292805
Sari, H., Erlandsson, K., Barnes, A., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F. (2014). Exploiting an MRI Derived Arterial Input Function to Improve the PET Simultaneous Estimation Method: Validation of Assumptions.
Totz, J., Thompson, S., Stoyanov, D., Gurusamy, K., Davidson, B., Hawkes, D., Clarkson, M. (2014). Fast semi-dense surface reconstruction from stereoscopic video in laparoscopic surgery..
Soloviev, V.Y., Correia, T.M., Arridge, S.R. (2014). Fluorescence lifetime imaging in turbid media. In Fluorescence Lifetime Spectroscopy and Imaging: Principles and Applications in Biomedical Diagnostics. (pp. 283-319). .
Martin, J., McClelland, J., Yip, C., Thomas, C., Hartill, C., Ahmad, S., ...Hawkes, D. (2014). Fully-deformable patient motion models from cone-beam CT for radiotherapy applications.
Jacobs, J.G., Panagiotaki, E., Alexander, D.C. (2014). Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields.
Lundell, H., Dyrby, T.B., Alexander, D.C. (2014). High angular resolution diffusion imaging with stimulated echoes: Compensation and correction in experiment design and analysis. NMR in Biomedicine, 27 (8), 918-925. doi:10.1002/nbm.3137
Markiewicz, P.J., Thielemans, K., Ehrhardt, M.J., Jiao, J., Burgos, N., Atkinson, D., ...Ourselin, S. (2014). High throughput CUDA implementation of accurate geometric modelling for iterative reconstruction of PET data.
Alexander, D.C., Zikic, D., Zhang, J., Zhang, H., Criminisi, A. (2014). Image quality transfer via random forest regression: Applications in diffusion MRI. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. (pp. 225-232). Springer.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, P., Pedley, R.B., Lythgoe, M.F., Alexander, D.C. (2014). In vivo characterisation of tumour microstructure with VERDICT MRI.
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M., Zhang, H. (2014). In vivo estimation of dispersion anisotropy of neurites using diffusion MRI. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. (pp. 241-248). Springer.
Sari, H., Erlandsson, K., Thielemans, K., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. (2014). Incorporation of MRI-AIF information for improved kinetic modelling of dynamic PET data.
Arridge, S.R., Betcke, M.M., Harhanen, L. (2014). Iterated preconditioned LSQR method for inverse problems on unstructured grids. INVERSE PROBLEMS, 30 (7), doi:10.1088/0266-5611/30/7/075009
Jiao, J., Bousse, A., Thielemans, K., Markiewicz, P., Burgos, N., Atkinson, D., ...Ourselin, S. (2014). Joint parametric reconstruction and motion correction framework for dynamic PET data.
Ehrhardt, M.J., Thielemans, K., Pizarro, L., Markiewicz, P., Atkinson, D., Ourselin, S., ...Arridge, S.R. (2014). Joint Reconstruction of PET-MRI by Parallel Level Sets.
Oxtoby, N.P., Young, A.L., Fox, N.C., Daga, P., Cash, D.M., Ourselin, S., ......o.t.h.e.r.s. (2014). Learning imaging biomarker trajectories from noisy Alzheimer’s disease data using a Bayesian multilevel model.
Nedjati-Gilani, G.L., Hall, M.G., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2014). Learning microstructure parameters from diffusion-weighted MRI using random forests.
Tremoulheac, B.R., Atkinson,, D., Arridge,, S. (2014). Low-rank and (x-f)-space sparsity via fast composite splitting for accelerated dynamic MR imaging.
Nedjati-Gilani, G.L., Schneider, T., Hall, M.G., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2014). Machine learning based compartment models with permeability for white matter microstructure imaging.
P.r.o.v.e.r.b.i.o., S.i.o.w., Panagiotaki, E., W.a.l.k.e.r.-.S.a.m.u.e.l., L.y.t.h.g.o.e., Gibson, A., Alexander, D.C. (2014). Mathematical models of colorectal tumour microstructure informed by oscillating gradients diffusion MRI.
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H., Atkinson, D., Punwani, S., ...Alexander, D.C. (2014). Microstructural characterisation of normal and malignant human prostate tissue with VERDICT-MRI.
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H., Atkinson, D., Punwani, S., ...Alexander, D.C. (2014). Microstructural characterisation of normal and malignant human prostate tissue with VERDICT-MRI.
Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S.A., Hipwell, J.H., Alexander, D.C., ...Evans, A. (2014). Modeling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion.
Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S.A., Hipwell, J.H., Alexander, D.C., ...Evans, A. (2014). Modeling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion.
Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S., Hipwell, J.H., Whelehan, P., ...Hawkes, D.J. (2014). Modelling vasculature and cellular restriction in breast tumours using diffusion MRI.
Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S., Hipwell, J.H., Whelehan, P., ...Hawkes, D.J. (2014). Modelling vasculature and cellular restriction in breast tumours using diffusion MRI.
Mertzanidou, T., Hipwell, J., Johnsen, S., Han, L., Eiben, B., Taylor, Z., ...Bick, U. (2014). MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.. MEDICAL IMAGE ANALYSIS, 18 (4), 674-683. doi:10.1016/j.media.2014.03.003
Malone, E., dos Santos, G.S., Holder, D., Arridge, S. (2014). Multifrequency Electrical Impedance Tomography Using Spectral Constraints.
Bragman, F.J.S., McClelland, J.R., Modat, M., Ourselin, S., Hurst, J.R., Hawkes, D.J. (2014). Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes.
Clarkson, M., Zombori, G., Thompson, S., Totz, J., Song, Y., Espak, M., ...Ourselin, S. (2014). NifTK GUIs and Command Line Apps.
Johnsen, S.F., Taylor, Z.A., Clarkson, M.J., Hipwell, J., Modat, M., Eiben, B., ...Hawkes, D.J. (2014). NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics.. International Journal of Computer Assisted Radiology and Surgery, doi:10.1007/s11548-014-1118-5
Tariq, M., Schneider, T., Alexander, D., Wheeler-Kingshott, C., Zhang, H. (2014). NODDI with dispersion anisotropy.
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M., Zhang, H. (2014). NODDI with dispersion anisotropy.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, P., Rajkumarc, V., Pedley, R., ...Alexander, D.C. (2014). Non-invasive quantification of solid tumor microstructure using VERDICT MRI. Cancer Research, doi:10.1158/0008-5472.CAN-13-2511
Huynh, N., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2014). Patterned interrogation scheme for compressed sensing photoacoustic imaging using a Fabry Perot planar sensor.
Sabczynski, J., Barschdorf, H., Bülow, T., Cardoso, M.J., Cardoso, J.S., Clarke, A., ...Hipwell, J. (2014). PICTURE: Predicting the cosmetic outcome of breast cancer surgery.
Wottschel, V., Alexander, D.C., Kwok, P.P., Chard, D.T., Thompson, A.J., Miller, D.H., Ciccarelli, O. (2014). Predicting outcome in clinically isolated syndrome using machine learning. NeuroImage,
Wottschel, V., Alexander, D.C., Chard, D.T., Ciccarelli, O., Miller, D.H. (2014). Prediction of time between CIS onset and clinical conversion to MS using Random Forests.
Wang, P., Arridge, S.R., Jiang, M. (2014). Radiative transfer equation for media with spatially varying refractive index. PHYSICAL REVIEW A, 90 (2), doi:10.1103/PhysRevA.90.023803
Ferizi, U., Schneider, T., Panagiotaki, E., Tariq, M., Zhang, H., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2014). Ranking diffusion MRI models for fibre dispersion using in vivo human brain data..
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2014). Single-shell diffusion MRI NODDI with in vivo cervical cord data.
Malone, E., Jehl, M., Arridge, S., Betcke, T., Holder, D. (2014). Stroke type differentiation using spectrally constrained multifrequency EIT: evaluation of feasibility in a realistic head model. Physiological measurement, 35 (6), 1051-.
Clarkson, M.J., Zombori, G., Thompson, S., Totz, J., Song, Y., Espak, M., ...Ourselin, S. (2014). The NifTK Software Platform for Image Guided Interventions. International Journal of Computer Assisted Radiology and Surgery,
Schweiger, M., Arridge, S. (2014). The Toast plus plus software suite for forward and inverse modeling in optical tomography. Journal of Biomedical Optics, 19 (4), doi:10.1117/1.JBO.19.4.040801
Mertzanidou, T., Hipwell, J., Dalmis, M., Platel, B., Van Der Laak, J., Mann, R., ...Hawkes, D. (2014). Towards spatial correspondence between specimen and in-vivo breast imaging.
Manber, R., Atkinson, D., Barnes, A., Hutton, B., O'Meara, C., Ourselin, S., ...Thielemans, K. (2014). Validation of a PET-derived Respiratory Signal by Comparison with an MRI Pencil-Beam Navigator Signal in Simultaneous PET/MR.
Ehrhardt, M.J., Arridge, S.R. (2014). Vector-Valued Image Processing by Parallel Level Sets. Image Processing, IEEE Transactions on, 23 9-18. doi:10.1109/TIP.2013.2277775
Richardson, S., Siow, B., Panagiotaki, E., Schneider, T., Lythgoe, M.F., Alexander, D.C. (2014). Viable and fixed white matter: diffusion magnetic resonance comparisons and contrasts at physiological temperature.. MAGNETIC RESONANCE IN MEDICINE, 72 (4), 1151-1161. doi:10.1002/mrm.25012

2013

Saratoon, T., Tarvainen, T., Arridge, S.R., Cox, B.T. (2013). 3D quantitative photoacoustic tomography using the delta-Eddington approximation.
Saratoon, T., Tarvainen, T., Cox, B.T., Arridge, S.R. (2013). A gradient-based method for quantitative photoacoustic tomography using the radiative transfer equation. INVERSE PROBLEMS, 29 (7), doi:10.1088/0266-5611/29/7/075006
Arridge, S.R., Betcke, M.M., Harhanen, L. (2013). A priorconditioned LSQR algorithm for linear ill-posed problems with edge-preserving regularization.
Ferizi, U., Schneider, T., Panagiotaki, E., Nedjati-Gilani, G., Zhang, H., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2013). A ranking of diffusion MRI compartment models with in vivo human brain data. Magnetic Resonance in Medicine, doi:10.1002/mrm.25080
Winston, G., Micallef, C., Symms, M., Alexander, D.C., Duncan, J.S., Zhang, H. (2013). Advanced diffusion imaging sequences could aid assessing patients with focal cortical dysplasia and epilepsy. Epilepsy Research, doi:10.1016/j.eplepsyres.2013.11.004
Campanella, M., Molinari, E., Baraldi, P., Nocetti, L., Porro, C.A., Alexander, D.C. (2013). An algorithm to estimate anatomical connectivity between brain regions using diffusion MRI. Magnetic Resonance Imaging, 31 (3), 353-358. doi:10.1016/j.mri.2012.10.001
Campanella, M., Molinari, E., Baraldi, P., Nocetti, L., Porro, C.A., Alexander, D.C. (2013). An algorithm to estimate anatomical connectivity between brain regions using diffusion MRI. MAGNETIC RESONANCE IMAGING, 31 (3), 353-358. doi:10.1016/j.mri.2012.10.001
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M., Zhang, H. (2013). Assessing scan-rescan reproducibility of the parameter estimates from NODDI.
Burgos, N., Cardoso, J.M., Modat, M., Pedemonte, S., Dickson, J., Barnes, A., ...Hutton, B.F. (2013). Attenuation Correction Synthesis for Hybrid PET-MR Scanners.
Siow, B.M.C.W., Drobnjak, I., Ianus, A., Christie, I.N., Lythgoe, M.F., Alexander, D.C. (2013). Axon radius estimation with Oscillating Gradient Spin Echo (OGSE) Diffusion MRI. Diffusion Fundamentals, 18 (1), 1-6.
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2013). Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING, 32 (12), 2287-2298. doi:10.1109/TMI.2013.2280281
Rowe, M.C., Zhang, H., Oxtoby, N., Alexander, D.C. (2013). Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure. In Information Processing in Medical Imaging - IPMI 2013. (pp. 402-413). Springer.
Eiben, B., Han, L., Hipwell, J., Mertzanidou, T., Kabus, S., Buelow, T., ...Keshtgar, M. (2013). Biomechanically guided prone-to-supine image registration of breast MRI using an estimated reference state.
Kunz, N., Zhang, H., Assaf, Y., Lazeyras, F., Alexander, D., Hüppi, P.S. (2013). Brain Microstructure assessed by CHARMED and NODDI in the newborn.
Martin, J., McClelland, J., Yip, C., Thomas, C., Hartill, C., Ahmad, S., ...Hawkes, D. (2013). Building motion models of lung tumours from cone-beam CT for radiotherapy applications.. PHYSICS IN MEDICINE AND BIOLOGY, 58 (6), 1809-1822. doi:10.1088/0031-9155/58/6/1809
Kaden, E., Alexander, D.C. (2013). Can T2-spectroscopy resolve submicrometer axon diameters?.
Kaden, E., Alexander, D.C. (2013). Can T2-spectroscopy resolve submicrometer axon diameters?. Information processing in medical imaging : proceedings of the ... conference, 23 607-618.
Winston, G.P., Symms, M.R., Alexander, D.C., Duncan, J.S., Zhang, H. (2013). Clinical utility of NODDI in assessing patients with epilepsy due to focal cortical dysplasia.
Panagiotaki, E., Alexander, D.C., Bourne, R.M. (2013). Comparison of single and multi-compartment models of diffusion in fixed prostate tissue.
Mozumder, M., Tarvainen, T., Arridge, S.R., Kaipio, J., Kolehmainen, V. (2013). Compensation of optode sensitivity and position errors in diffuse optical tomography using the approximation error approach. BIOMEDICAL OPTICS EXPRESS, 4 (10), 2015-2031. doi:10.1364/BOE.4.002015
Dyrby, T.B., Søgaard, L.V., Ptito, M., Hall, M.G., Alexander, D.C. (2013). Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI. Magn Reson Med, 70 (3), 711-721. doi:10.1002/mrm.24501
Boone, D.J., Halligan, S., Roth, H.R., Hampshire, T.E., Helbren, E., Slabaugh, G.G., ...Punwani, S. (2013). CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration.. RADIOLOGY, 268 (3), 752-760. doi:10.1148/radiol.13122083
Roth, H.R., McClelland, J.R., Modat, M., Hampshire, T.E., Boone, D.J., Helbren, E., ...Halligan, S. (2013). CT colonography: Inverse-consistent symmetric registration of prone and supine inner colon surfaces.
Thompson, S., Penney, G., Billia, M., Challacombe, B., Hawkes, D., Dasgupta, P. (2013). Design and evaluation of an image-guidance system for robot-assisted radical prostatectomy.. BJU International, 111 (7), 1081-1090. doi:10.1111/j.1464-410X.2012.11692.x
Alexander, D.C., Dyrby, T.B. (2013). Diffusion imaging with stimulated echoes: signal models and experiment design. ArXiv,
Siow, B.M.C.W., Hubbard, P.L., d’Esposito, A., Lythgoe, M.F., Alexander, D.C. (2013). Diffusion-diffusion Exchange Spectroscopic Imaging (DEXSI) MRI in a rat corpus callosum.
Correia, T., Rudge, T., Arridge, S. (2013). Efficient image reconstruction in fluorescence diffuse opitcal tomography (fDOT) using data and solution compression.
Hampshire, T., Roth, H.R., Helbren, E., Plumb, A., Boone, D., Slabaugh, G., ...Hawkes, D.J. (2013). Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Analysis, 17 (8), 946-958. doi:10.1016/j.media.2013.04.006
Tremoulheac, B., Atkinson, D., Arridge, S. (2013). Fast dynamic MRI via nuclear norm minimization and accelerated proximal gradient.
Ducros, N., Bassi, A., Valentini, G., Canti, G., Arridge, S., D'Andrea, C. (2013). Fluorescence molecular tomography of an animal model using structured light rotating view acquisition. JOURNAL OF BIOMEDICAL OPTICS, 18 (2), doi:10.1117/1.JBO.18.2.020503
Ducros, N., Bassi, A., Valentini, G., Canti, G., Arridge, S., D'Andrea, C. (2013). Fluorescence Molecular Tomography on animal model by means of multiple views structured light illumination.
Ianus, A., Siow, B., Drobnjak, I., Zhang, H., Alexander, D.C. (2013). Gaussian Phase Distribution Approximations for Oscillating Gradient Spin Echo Diffusion MRI. Journal of Magnetic Resonance, 227 25-34. doi:10.1016/j.jmr.2012.11.021
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2013). Image reconstruction in quantitative photoacoustic tomography using the radiative transfer equation and the diffusion approximation.
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2013). Image reconstruction in quantitative photoacoustic tomography using the radiative transfer equation and the diffusion approximation.
Thompson, S., Penney, G., Dasgupta, P., Hawkes, D. (2013). Improved Modelling of Tool Tracking Errors by Modelling Dependent Marker Errors. IEEE Transactions on Medical Imaging, 32 (2), 165-177. doi:10.1109/TMI.2012.2216890
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, P., Pedley, R., Lythgow, M.F., Alexander, D.C. (2013). In vivo characterisation of colorectal tumour microstructure with DW-MRI.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, S.P., Pedley, R.B., Lythgoe, M.F., Alexander, D.C. (2013). In vivo characterisation of tumour microstructure with VERDICT MRI.
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2013). In vivo estimation of neuronal orientation dispersion and density of the human spinal cord.
Bourne, R.M., Panagiotaki, E., Bongers, A., Sved, P., Watson, G., Alexander, D.C. (2013). Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo. Magnetic Resonance in Medicine, doi:10.1002/mrm.25032
Dikaios, N., Tremoulheac, B., Menys, A., Hamy, V., Arridge, S., Atkinson, D. (2013). Joint reconstruction of low-rank and sparse components from undersampled (k, t)-space small bowel data.
Ryan, N.S., Keihaninejad, S., Shakespeare, T.J., Lehmann, M., Crutch, S.J., Malone, I.B., ...Yousry, T. (2013). Magnetic resonance imaging evidence for presymptomatic change in thalamus and caudate in familial Alzheimer's disease.. Brain, doi:10.1093/brain/awt065
Farina, A., Pifferi, A., Torricelli, A., Bargigia, I., Spinelli, L., Cubeddu, R., ...Fugger, O. (2013). Multi-laboratory investigation of the optical properties of the human head.
Seunarine, K.K., Alexander, D.C. (2013). Multiple Fibers. Beyond the Diffusion Tensor.. 105-123. doi:10.1016/B978-0-12-396460-1.00006-8
Rowe, M.C., Zhang, H., Alexander, D.C. (2013). ND-Track: Tractography utilising parametric models of white matter fibre orientation dispersion.
Kearney, H., Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M., ...Miller, D.H. (2013). Neurite orientation dispersion and density imaging in the multiple sclerosis spinal cord..
Garvey, C.C., Cahill, N.D., Melbourne, A., Tanner, C., Ourselin, S., Hawkes, D.J. (2013). NONRIGID IMAGE REGISTRATION WITH TWO-SIDED SPACE-FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 747-751.
Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R. (2013). Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis. The Annals of the BMVA,
Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R. (2013). Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis. The Annals of the BMVA,
Drobnjak, I., Cruz, G., Alexander, D.C. (2013). Optimising oscillating waveform-shape for pore size sensitivity in diffusion-weighted MR. Microporous and Mesoporous Materials, 178 11-14. doi:10.1016/j.micromeso.2013.03.004
Miquel, M.E., Blackall, J.M., Uribe, S., Hawkes, D.J., Schaeffter, T. (2013). Patient-specific respiratory models using dynamic 3D MRI: Preliminary volunteer results. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 29 (2), 214-220. doi:10.1016/j.ejmp.2012.03.003
Nedjati-Gilani, G.L., Schneider, T., Siow, B., Tachrount, M., Davies, A.L., Smith, K.J., ...Alexander, D.C. (2013). Pinning down specificity of biomarkers to axon and myelin damage: preliminary results.
Arridge, S.R., Egger, H., Schlottbom, M. (2013). Preconditioning of complex symmetric linear systems with applications in optical tomography. APPLIED NUMERICAL MATHEMATICS, 74 35-48. doi:10.1016/j.apnum.2013.06.008
Wottschel, V., Alexander, D.C., Chard, D.T., Miller, D.H., Ciccarelli, O. (2013). Prediction of Second Clinical Attack in CIS patients using SVMs.
Wottschel, V., Ciccarelli, O., Chard, D.T., Miller, D.H., Alexander, D.C. (2013). Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines.
Correia, T., Ducros, N., D'Andrea, C., Schweiger, M., Arridge, S. (2013). Quantitative fluorescence diffuse optical tomography in the presence of heterogeneities. OPTICS LETTERS, 38 (11), 1903-1905. doi:10.1364/OL.38.001903
Ferizi, U., Schneider, T., Panagiotaki, E., Nedjati-Gilani, G., Zhang, H., Wheeler-Kingshott, C., Alexander, D. (2013). RANKING DIFFUSION-MRI MODELS WITH IN-VIVO HUMAN BRAIN DATA. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2013. IEEE.
Roth, H., McClelland, J., Hampshire, T., Boone, D., Hu, Y., Modat, M., ...Hawkes, D.J. (2013). Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension.. In Yoshida, H., Warfield, S.K., Vannier, M.W. (Eds.), Abdominal Imaging. Computation and Clinical Applications. (pp. 29-38). Springer.
Roth, H.R., Helbren, E., Hampshire, T.E., Pickhardt, P.J., Halligan, S., Hawkes, D.J. (2013). Registration of Temporally Separated CT Colonography Cases.
McClelland, J.R., Hawkes, D.J., Schaeffter, T., King, A.P. (2013). Respiratory motion models: a review.. MEDICAL IMAGE ANALYSIS, 17 (1), 19-42. doi:10.1016/j.media.2012.09.005
Hampshire, T., Helbren, E., Plumb, A., Roth, H., Halligan, S., Hawkes, D. (2013). Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard.
Assaf, Y., Alexander, D.C., Jones, D.K., Bizzi, A., Behrens, T.E.J., Clark, C.A., ...Knoesche, T.R. (2013). The CONNECT project: Combining macro- and micro-structure. NEUROIMAGE, 80 273-282. doi:10.1016/j.neuroimage.2013.05.055
Chaulet, N., S., A.r.r.i.d.g.e., T., B.e.t.c.k.e., D., H.o.l.d.e.r. (2013). The Factorization method for three dimensional Electrical Impedance Tomography. Submitted to Inverse Problems,
Ferizi, U., Schneider, T., Tariq, M., Wheeler-Kingshott, C.A.M., Zhang, H., Alexander, D. (2013). The Importance of Being Dispersed: a Statistical Ranking of Diffusion MRI Models for Fibre Dispersion using In Vivo Brain Data. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. (pp. 74-81). .
Wang, T., Zhang, H., Hall, M.G., Alexander, D.C. (2013). The Influence of Macroscopic and Microscopic Fibre Orientation Dispersion on Diffusion MR Measurements: A Monte-Carlo Simulation Study.
Allan, M., Ourselin, S., Thompson, S., Hawkes, D.J., Kelly, J., Stoyanov, D. (2013). Toward Detection and Localization of Instruments in Minimally Invasive Surgery.. IEEE Trans. Biomed. Engineering, 60 1050-1058. doi:10.1109/TBME.2012.2229278
Allan, M., Ourselin, S., Thompson, S., Hawkes, D.J., Kelly, J., Stoyanov, D. (2013). Toward detection and localization of instruments in minimally invasive surgery.. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 60 (4), 1050-1058. doi:10.1109/TBME.2012.2229278
Grussu, F., Schneider, T., Kearney, H., Zhang, H., Miller, D.H., Ciccarelli, O., ...Wheeler-Kingshott, C.A.M. (2013). Towards spinal cord microstructure mapping with the neurite orientation dispersion and density imaging.
Lyksborg, M., Dyrby, T.B., Sorensen, P.S., Blinkenberg, M., Siebner, H.R., Alexander, D., ...Zhang, H. (2013). TRACT-ORIENTED STATISTICAL GROUP COMPARISON OF DIFFUSION IN SHEET-LIKE WHITE MATTER. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2013. IEEE.
Brock, K., Dong, L., Hawkes, D. (2013). TU‐G‐WAB‐01: Advanced Applications in Deformable Registration. Medical Physics, 40 (6), 455-456. doi:10.1118/1.4815460
Cade, S.C., Arridge, S., Evans, M.J., Hutton, B.F. (2013). Use of measured scatter data for the attenuation correction of single photon emission tomography without transmission scanning. MEDICAL PHYSICS, 40 (8), doi:10.1118/1.4812686
Chamorro-Servent, J., Abascal, J.F.P.J., Aguirre, J., Arridge, S., Correia, T., Ripoll, J., ...Vaquero, J.J. (2013). Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography. JOURNAL OF BIOMEDICAL OPTICS, 18 (7), doi:10.1117/1.JBO.18.7.076016
Nagy, Z., Alexander, D.C., Thomas, D.L., Weiskopf, N., Sereno, M.I. (2013). Using High Angular Resolution Diffusion Imaging Data to Discriminate Cortical Regions. PLOS ONE, 8 (5), doi:10.1371/journal.pone.0063842
Ferizi, U., Schneider, T., Panagiotaki, E., Nedjati-Gilani, G., Zhang, H., Wheeler-Kingshott, C., Alexander, D. (2013). Using in-vivo human brain data to select diffusion MRI compartment models.
Tarvainen, T., Kolehmainen, V., Lehtikangas, O., Kaipio, J.P., Arridge, S.R. (2013). Utilising the coupled radiative transfer - diffusion model in diffuse optical tomography.
Tarvainen, T., Kolehmainen, V., Lehtikangas, O., Kaipio, J.P., Arridge, S.R. (2013). Utilising the coupled radiative transfer - Diffusion model in diffuse optical tomography.
Richardson, S., A.l.e.x.a.n.d.e.r., Siow, B.M.S., Lythgoe, M.F., Schneider, T., P.a.n.a.g.i.o.t.a.k.i. (2013). Viable and Fixed White Matter: DTI and Microstructural Comparisons at Physiological Temperature..
Correia, T., Rudge, T., Koch, M., Ntziachristos, V., Arridge, S. (2013). Wavelet-based data and solution compression for efficient image reconstruction in fluorescence diffuse optical tomography. JOURNAL OF BIOMEDICAL OPTICS, 18 (8), doi:10.1117/1.JBO.18.8.086008
Hutton, B.F., Thomas, B.A., Erlandsson, K., Bousse, A., Reilhac-Laborde, A., Kazantsev, D., ...Ourselin, S. (2013). What approach to brain partial volume correction is best for PET/MRI?. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 702 29-33. doi:10.1016/j.nima.2012.07.059

2012

Hu, Y., Ahmed, H.U., Carter, T., Arumainayagam, N., Lecornet, E., Barzell, W., ...Villers, A. (2012). A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)-biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy.. BJU INTERNATIONAL, 110 (6), 812-820. doi:10.1111/j.1464-410X.2012.10933.x
Thomas, B.A., Erlandsson, K., Reilhac, A., Bousse, A., Kazantsev, D., Pedemonte, S., ...Hutton, B.F. (2012). A Comparison of the Options for Brain Partial Volume Correction Using PET/MRI.
Wheeler-Kingshott, C.A.M., Ciccarelli, O., Schneider, T., Alexander, D.C., Cercignani, M. (2012). A new approach to structural integrity assessment based on axial and radial diffusivities. Functional Neurology, 27 (2), 85-90.
Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R. (2012). A Nonlinear Least Squares Method for Solving the Joint Reconstruction and Registration Problem in Digital Breast Tomosynthesis.
Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R. (2012). A Nonlinear Least Squares Method for Solving the Joint Reconstruction and Registration Problem in Digital Breast Tomosynthesis.
Richardson, S., Siow, B., Batchelor, A.M., Lythgoe, M.F., Alexander, D.C. (2012). A viable isolated tissue system: A tool for detailed MR measurements and controlled perturbation in physiologically stable tissue. Magnetic Resonance Medicine, n/a. doi:10.1002/mrm.24410
Ducros, N., D'Andrea, C., Bassi, A., Valentini, G., Arridge, S. (2012). A virtual source pattern method for fluorescence tomography with structured light. PHYSICS IN MEDICINE AND BIOLOGY, 57 (12), 3811-3832. doi:10.1088/0031-9155/57/12/3811
Kazantsev, D., Arridge, S.R., Pedemonte, S., Bousse, A., Erlandsson, K., Hutton, B.F., Ourselin, S. (2012). An anatomically driven anisotropic diffusion filtering method for 3D SPECT reconstruction.. PHYSICS IN MEDICINE AND BIOLOGY, 57 (12), 3793-3810. doi:10.1088/0031-9155/57/12/3793
Fonteijn, H.M., Modat, M., Clarkson, M.J., Barnes, J., Lehmann, M., Hobbs, N.Z., ...Fox, N.C. (2012). An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.. NEUROIMAGE, 60 (3), 1880-1889. doi:10.1016/j.neuroimage.2012.01.062
Carter, T., Han, L., Taylor, Z., Tanner, C., Beechy-Newman, N., Ourselin, S., Hawkes, D. (2012). Application of Biomechanical Modelling to Image-Guided Breast Surgery. In Studies in Mechanobiology, Tissue Engineering and Biomaterials. (pp. 71-94). .
Kolehmainen, V., Schweiger, M., Nissilä, I., Tarvainen, T., Arridge, S.R., Kaipio, J.P. (2012). Approximation errors and model reduction in three-dimensional diffuse optical tomography.
Zhang, H., Dyrby, T.B., Alexander, D.C. (2012). Axon diameter mapping in crossing fibers with diffusion MRI.
Arridge, S.R., Betcke, T., Smigaj, W., Schweiger, M.J. (2012). BEM++.
Hipwell, J.H., Griffin, L.D., Whelehan, P.J., Song, W., Zhang, X., Lesniak, J.M., ...Hawkes, D.J. (2012). Characterizing breast phenotype with a novel measure of fibroglandular structure.
Alexander, D.C., Dyrby, T.B. (2012). Compensation for bias from unwanted gradient contributions in STEAM diffusion MRI.
Thompson, S., Penney, G., Challacombe, B., Hawkes, D., Dasgupta, P. (2012). Design and Evaluation of Image Guidance Systems for RARP.
Richardson, S., Siow, B., Batchelor, A., Lythgoe, M., Alexander, D. (2012). Development and Stability Testing of an MRI Compatible Isolated Tissue System..
Han, L., Hipwell, J.H., Tanner, C., Taylor, Z., Mertzanidou, T., Cardoso, J., ...Hawkes, D.J. (2012). Development of patient-specific biomechanical models for predicting large breast deformation.. PHYSICS IN MEDICINE AND BIOLOGY, 57 (2), 455-472. doi:10.1088/0031-9155/57/2/455
Hawkes, D.J., Mertzanidou, T., Hipwell, J., Atkinson, D., Roth, H., Hampshire, T. (2012). Establishing spatial correspondence for the analysis of images from highly deforming anatomy.
Siow, B., Drobnjak, I., Chatterjee, A., Lythgoe, M.F., Alexander, D.C. (2012). Estimation of pore size in a microstructure phantom using the optimised gradient waveform diffusion weighted NMR sequence. Journal of Magnetic Resonance, 214 51-60.
Thompson, S., Penney, G., Challacombe, B., Hawkes, D., Dasgupta, P. (2012). EVALUATION OF IMAGE GUIDANCE SYSTEMS FOR ROBOT ASSISTED RADICAL PROSTATECTOMY. Journal Of Endourology, 26 (1),
Roth, H., Boone, D., Halligan, S., Hampshire, T., McClelland, J., Hu, M., ...Hawkes, D. (2012). External Clinical Validation of Prone and Supine CT Colonography Registration.
Ianus, A., Siow, B., Drobnjak, I., Zhang, H., Alexander, D.C. (2012). Gaussian Phase Distribution Approximations of the Square Wave Oscillating Gradient Spin-Echo (SWOGSE) Diffusion Signal.
Arridge, S.R., Scherzer, O. (2012). Imaging from coupled physics FOREWORD. INVERSE PROBLEMS, 28 (8), doi:10.1088/0266-5611/28/8/080201
Sardini, A., Stuckey, D.W., McGinty, J., Laine, R., Soloviev, V.Y., Arridge, S.R., ...Hajnal, J.V. (2012). In Vivo Investigation of Calpain Activity by Lifetime Imaging of Genetically Encoded FRET Sensors. BIOPHYSICAL JOURNAL, 102 (3), 159A. doi:10.1016/j.bpj.2011.11.866
Perez-Juste Abascal, J.F., Aguirre, J., Chamorro-Servent, J., Schweiger, M., Arridge, S., Ripoll, J., ...Desco, M. (2012). Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized data. JOURNAL OF BIOMEDICAL OPTICS, 17 (3), doi:10.1117/1.JBO.17.3.036013
(2012). Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized data.. Journal of biomedical optics, 17 (3),
Mertzanidou, T., Hipwell, J.H., Han, L., Taylor, Z.A., Huisman, H.J., Bick, U., ...Hawkes, D.J. (2012). Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation..
Shepherd, T., Prince, S.J.D., Alexander, D. (2012). Interactive Lesion Segmentation with Shape Priors from Off-line and On-line Learning. IEEE Trans. Medical Imaging, doi:10.1109/TMI.2012.2196285
Arridge, S., Moskow, S., Schotland, J.C. (2012). Inverse Born series for the Calderon problem. INVERSE PROBLEMS, 28 (3), doi:10.1088/0266-5611/28/3/035003
Roth, H.R., Hampshire, T.E., McClelland, J.R., Hu, M., Boone, D.J., Slabaugh, G.G., ...Hawkes, D.J. (2012). Inverse consistency error in the registration of prone and supine images in CT colonography.
Roth, H., McClelland, J., Modat, M., Hampshire, T., Boone, D., Hu, M., ...Hawkes, D. (2012). Inverse-Consistent Symmetric Registration of Inner Colon Surfaces Derived From Prone and Supine CT Colonography.
Pedemonte, S., Arridge, S., Hutton, B.F., Ourselin, S. (2012). Joint Estimation of the Activity and the Events of Interaction in SPECT Systems.
Yang, G., Hipwell, J.H., Tanner, C., Hawkes, D.J., Arridge, S.R. (2012). Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis.
Yang, G., Hipwell, J.H., Tanner, C., Hawkes, D.J., Arridge, S.R. (2012). Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis.
Schneider, T., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2012). Mapping the axon diameter index in the corpus callosum is clinically feasible.
Bousse, A., Pedemonte, S., Thomas, B.A., Erlandsson, K., Ourselin, S., Arridge, S., Hutton, B.F. (2012). Markov random field and Gaussian mixture for segmented MRI-based partial volume correction in PET.. PHYSICS IN MEDICINE AND BIOLOGY, 57 (20), 6681-6705. doi:10.1088/0031-9155/57/20/6681
Figini, M., Alexander, D.C., Fasano, F., Farina, L., Baselli, G., Tagliavini, F., Bizzi, A. (2012). Mathematical models of diffusion in prion disease.
Waechter-Stehle, I., Groth, A., Bruijns, T., Brina, O., Ruefenacht, D.A., Kulcsar, Z., ...Weese, J. (2012). Model-based blood flow quantification from DSA: quantitative evaluation on patient data and comparison with TCCD.
Bousse, A., Panagiotou, C., Erlandsson, K., Ourselin, S., Arridge, S., Hutton, B.F. (2012). Monotonic Algorithm for Joint Entropy-Based Anatomical Priors in Parametric PET Image Reconstruction.
Tremoulheac, B., Atkinson, D., Arridge, S.R. (2012). Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI.
Martin, J., McClelland, J., Thomas, C., Wildermuth, K., Landau, D., Ourselin, S., Hawkes, D. (2012). Motion modelling and motion compensated reconstruction of tumours in cone-beam computed tomography.
Hu, Y., Ahmed, H.U., Taylor, Z., Allen, C., Emberton, M., Hawkes, D., Barratt, D. (2012). MR to ultrasound registration for image-guided prostate interventions.. MEDICAL IMAGE ANALYSIS, 16 (3), 687-703. doi:10.1016/j.media.2010.11.003
Mertzanidou, T., Hipwell, J., Cardoso, M.J., Zhang, X., Tanner, C., Ourselin, S., ...Hawkes, D. (2012). MRI to X-ray mammography registration using a volume-preserving affine transformation.. MEDICAL IMAGE ANALYSIS, 16 (5), 966-975. doi:10.1016/j.media.2012.03.001
Proverbio, A., Siow, B., Lythgoe, M., Gibson, A., Alexander, D. (2012). Multimodality investigation of microstructure: the combination of diffusion NMR and diffuse optical spectroscopy.
Zhang, H., Schneider, T., Wheeler-Kingshott, C., Alexander, D.C. (2012). NODDI: a practical technique for in vivo neurite orientation dispersion and density imaging of the human brain.
Zhang, H., Schneider, T., wheeler-kingshott, C., Alexander, D.C. (2012). NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain.
Zhang, H., Schneider, T., Wheeler-Kingshott, C.A., Alexander, D.C. (2012). NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage, 61 (4), 1000-1016. doi:10.1016/j.neuroimage.2012.03.072
Siow, B.M.C.W., Ianus, A., Drobnjak, I., Christie, I.N., Lythgoe, M.F., Alexander, D.C. (2012). Optimised oscillating gradient diffusion MRI for the estimation of axon radius in an ex vivo rat brain.
Siow, B.M.C.W., Drobnjak, I., Ianus, A., Christie, I.N., Lythgoe, M.F., Alexander, D.C. (2012). Optimised oscillating gradient diffusion MRI for the estimation of axon radius in an ex-vivo rat brain.
Siow, B.M.C.W., Drobnjak, I., Ianus, A., Christie, I.N., Alexander, D.A. (2012). Pore Size Estimation with Oscillating Gradient Spin Echo (OGSE) Diffusion NMR.
Ciccarelli, O., Kwok, P.P., Wottschel, V., Chard, D., Stromillo, M.L., De Stefano, N., ...Alexander, D.C. (2012). Predicting clinical conversion to multiple sclerosis in patients with clinically isolated syndrome using machine learning techniques..
Kwok, P.P., Ciccarelli, O., Chard, D.T., Miller, D.H., Alexander, D.C. (2012). Predicting clinically definite multiple sclerosis from onset using SVM.
Huang, J., Alexander, D. (2012). Probabilistic event cascades for Alzheimer's disease. Advances in Neural Information Processing Systems, 4 3095-3103.
Hampshire, T., Roth, H., Boone, D., Slabaugh, G., Halligan, S., Hawkes, D. (2012). Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. Abdominal Imaging. Computational and Clinical Applications, 1-9.
Cox, B., Laufer, J.G., Arridge, S.R., Beard, P.C. (2012). Quantitative spectroscopic photoacoustic imaging: a review.. JOURNAL OF BIOMEDICAL OPTICS, 17 (6), doi:10.1117/1.JBO.17.6.061202
Tarvainen, T.M., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2012). Reconstructing absorption and scattering distributions in quantitative photoacoustic tomography. Inverse Problems, 28 (8), doi:10.1088/0266-5611/28/8/084009
Hu, M., Penney, G., Figl, M., Edwards, P., Bello, F., Casula, R., ...Hawkes, D. (2012). Reconstruction of a 3D surface from video that is robust to missing data and outliers: application to minimally invasive surgery using stereo and mono endoscopes.. MEDICAL IMAGE ANALYSIS, 16 (3), 597-611. doi:10.1016/j.media.2010.11.002
Allain, B., Hu, M., Lovat, L.B., Cook, R.J., Vercauteren, T., Ourselin, S., Hawkes, D.J. (2012). Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty.. Medical Image Analysis, 16 (2), 482-496. doi:10.1016/j.media.2011.11.005
Tariq, M., schneider, T., Alexander, D.C., Wheeler-Kingshot, C., Zhang, H. (2012). Scan-rescan reproducibility of neurite microstructure estimates using NODDI. In Xie, X. (Ed.), (pp. 255-261). .
Pedemonte, S., Cardoso, M.J., Arridge, S.R., Hutton, B.F., Ourselin, S. (2012). Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET..
Kleinnijenhuis, M., Barth, M., Alexander, D.C., van Cappellen van Walsum, A.M., Norris, D.G. (2012). Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging. NeuroImage, 59 (4), 3941-3954. doi:10.1016/j.neuroimage.2011.10.078
McClelland, J., Suh, Y., Ahmad, S., Hawkes, D. (2012). Study of Deformable Registration Based 4DCT Ventilation Imaging Methods.
Fuin, N., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B.F. (2012). Subsampled Fisher Information Matrix for Efficient Estimation of the Uncertainty in Emission Tomography. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2251-2256.
Lecornet, E., Ahmed, H.U., Hu, Y., Moore, C.M., Nevoux, P., Barratt, D., ...Emberton, M. (2012). The accuracy of different biopsy strategies for the detection of clinically important prostate cancer: a computer simulation.. J Urol, 188 974-980. doi:10.1016/j.juro.2012.04.104
Soloviev, V.Y., Zacharakis, G., Spiliopoulos, G., Favicchio, R., Correia, T., Arridge, S.R., Ripoll, J. (2012). Tomographic imaging with polarized light. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 29 (6), 980-988. doi:10.1364/JOSAA.29.000980
Vunckx, K., Arridge, S.R., Bousse, A., Kazantsev, D., Pedemonte, S., Ourselin, S., Hutton, B.F. (2012). Unifying Global and Local Statistical Measures for Anatomy-Guided Emission Tomography Reconstruction. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2161-2165.
Fuin, N., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B.F. (2012). Use of the Fisher Information Matrix to Optimize the Acquisition Protocol for a D-SPECT System. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2137-2142.
Melbourne, A., Cahill, N., Tanner, C., Modat, M., Hawkes, D.J., Ourselin, S. (2012). Using fractional gradient information in non-rigid image registration: Application to breast MRI. MEDICAL IMAGING 2012: IMAGE PROCESSING, 8314 doi:10.1117/12.911173
Tarvainen, T., Kolehmainen, V., Arridge, S.R., Kaipio, J.P. (2012). Utilising approximation error modelling in linear reconstruction in diffuse optical tomography.
Rowe, M.C., Zhang, H., Alexander, D.C. (2012). Utilising measures of fiber dispersion in white matter tractography.
Ducros, N., Bassi, A., D'Andrea, C., Valentini, G., Schweiger, M., Arridge, S.R. (2012). Virtual source patterns for fluorescence tomography..
Roth, H., Mcclelland, J., Modat, M., Hampshire, T., Boone, D., hu, M., ...Hawkes, D. (2012). WE‐E‐213CD‐03: Inverse‐Consistent Symmetric Registration of Inner Colon Surfaces Derived from Prone and Supine CT Colonography.
Ferizi, U., Panagiotaki, E., Schneider, T., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2012). White Matter Models of In Vivo Diffusion MRI Human Brain Data: A Statistical Ranking.

2011

Morgan, G.L., Zhang, H., Whitcher, B., Alexander, D.C. (2011). A Bayesian framework for modelling the regional variation of white matter microstructure.
ZHANG, H., Barazany, D., Assaf, Y., Lundell, H.M., Alexander, D.C., Dyrby, T. (2011). A comparative study of axon diameter imaging techniques using diffusion MRI.
Zhuang, X., Shi, W., Duckett, S.G., Wang, H., Razavi, R., Hawkes, D.J., ...Ourselin, S. (2011). A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions..
MORGAN, G.L., Zhang, H., Whitcher, B., Alexander, D.C. (2011). A framework for modelling the regional variation of white matter microstructure.
Panagiotaki, E., Schneider, T., Siow, B., Lythgoe, M.F., Hall, M.G., Alexander, D.C. (2011). A hierarchy of analytic models for the diffusion MRI signal in brain white matter.
Han, L., HIPWELL, J., Mertzanidou, T., Carter, T., Modat, M., Ourselin, S., Hawkes, D. (2011). A HYBRID FEM-BASED METHOD FOR ALIGNING PRONE AND SUPINE IMAGES FOR IMAGE GUIDED BREAST SURGERY.
Zhuang, X., Arridge, S., Hawkes, D.J., Ourselin, S. (2011). A nonrigid registration framework using spatially encoded mutual information and free-form deformations.. IEEE Trans Med Imaging, 30 (10), 1819-1828. doi:10.1109/TMI.2011.2150240
Zhuang, X., Arridge, S., Hawkes, D.J., Ourselin, S. (2011). A nonrigid registration framework using spatially encoded mutual information and free-form deformations.. IEEE Trans Med Imaging, 30 (10), 1819-1828. doi:10.1109/TMI.2011.2150240
Elisee, J., Bonnet, M., Arridge, S. (2011). Accelerated boundary element method for diffuse optical imaging. OPTICS LETTERS, 36 (20), 4101-4103. doi:10.1364/OL.36.004101
Daga, P., Winston, G., Modat, M., White, M., Mancini, L., Cardoso, M., ...Ourselin, S. (2011). Accurate localisation of optic radiation during neurosurgery in an interventional MRI Suite. IEEE Trans Med Imaging, doi:10.1109/TMI.2011.2179668
Yang, G., Hipwell, J.H., Tanner, C., Hawkes, D.J., Arridge, S.R. (2011). Alternating Reconstruction and Registration for Digital Breast Tomosynthesis.
Yang, G., Hipwell, J.H., Tanner, C., Hawkes, D.J., Arridge, S.R. (2011). Alternating Reconstruction and Registration for Digital Breast Tomosynthesis.
Fonteijn, H.M., Clarkson, M.J., Modat, M., Barnes, J., Lehmann, M., Ourselin, S., ...Alexander, D.C. (2011). An event-based disease progression model and its application to familial Alzheimer's disease.
Dyrby, T.B., Baaré, W.F.C., Alexander, D.C., Jelsing, J., Garde, E., Søgaard, L.V. (2011). An ex vivo imaging pipeline for producing high-quality and high-resolution diffusion-weighted imaging datasets.. HUMAN BRAIN MAPPING, 32 (4), 544-563. doi:10.1002/hbm.21043
Soloviev, V.Y., Bassi, A., Fieramonti, L., Valentini, G., D'Andrea, C., Arridge, S.R. (2011). Angularly selective mesoscopic tomography. PHYSICAL REVIEW E, 84 (5), doi:10.1103/PhysRevE.84.051915
Cade, S.C., Arridge, S., Evans, M.J., Hutton, B.F. (2011). Attenuation map estimation without transmission scanning using measured scatter data. 2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2657-2663.
Hampshire, T., Roth, H., Hu, M., Boone, D., Slabaugh, G., Punwani, S., ...Hawkes, D. (2011). Automatic prone to supine haustral fold matching in CT colonography using a Markov random field model. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6891 LNCS (PART 1), 508-515. doi:10.1007/978-3-642-23623-5_64
Hampshire, T., Roth, H., Hu, M., Boone, D., Slabaugh, G., Punwani, S., ...Hawkes, D. (2011). Automatic prone to supine haustral fold matching in CT colonography using a Markov random field model.. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011, 508-515.
ZHANG, H., Hubbard, P.L., Parker, G.J.M., Alexander, D.C. (2011). Axon diameter mapping in the presence of orientation dispersion using diffusion MRI.
Ahmed, H.U., Hu, Y., Carter, T., Lecornet, E., Freeman, A., Hawkes, D.J., ...Emberton, M. (2011). Characterising Clinically Significant Prostate Cancer using Template Prostate Mapping Biopsy.. Journal of Urology, 186 (2), 458-464. doi:10.1016/j.juro.2011.03.147
Martelli, F., Del Bianco, S., Zaccanti, G., Liemert, A., Kienle, A., Schweiger, M., ...Wabnitz, H. (2011). Comparison of independent forward solvers for photon migration through layered media.
Martin, J., MCCLELLAND, J.R., Hawkes, D.J. (2011). Determination of tumour-centre motion during a cone-beam CT acquisition - a feasibility study.
Elisee, J., Gibson, A., Arridge, S. (2011). Diffuse optical cortical mapping using the boundary element method. BIOMEDICAL OPTICS EXPRESS, 2 (3), 568-578. doi:10.1364/BOE.2.000568
Mohan, P.S., Soloviev, V.Y., Arridge, S.R. (2011). Discontinuous Galerkin method for the forward modelling in optical diffusion tomography. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 85 (5), 562-574. doi:10.1002/nme.2974
Jafar, Y., Hipwell, J., Tanner, C., Melbourne, A., Hawkes, D.J. (2011). Discretisation of 3D deformation fields: Implications for establishing correspondence between 2D X-ray mammographic projections. Proceedings - International Symposium on Biomedical Imaging, 1998-2001. doi:10.1109/ISBI.2011.5872803
Jafar, Y., HIPWELL, J., Tanner, C., Melbourne, A., Hawkes, D. (2011). DISCRETISATION OF 3D DEFORMATION FIELDS: IMPLICATIONS FOR ESTABLISHING CORRESPONDENCE BETWEEN 2D X-RAY MAMMOGRAPHIC PROJECTIONS.
Kazantsev, D., Bousse, A., Pedemonte, S., Arridge, S.R., Hutton, B.F., Ourselin, S. (2011). Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction. 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 1158-1161.
Rijkhorst, E.J., Rivens, I., Ter Haar, G., Hawkes, D., Barratt, D. (2011). Effects of respiratory liver motion on heating for gated and model-based motion-compensated high-intensity focused ultrasound ablation.
Rijkhorst, E.-.J., Rivens, I., Haar, G.T., Hawkes, D., Barratt, D. (2011). Effects of respiratory liver motion on heating for gated and model-based motion-compensated high-intensity focused ultrasound ablation.. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, MICCAI 2011, PT I, 6891 605-+.
Abascal, J.P.J., Lionheart, W.R.B., Arridge, S.R., Schweiger, M., Atkinson, D., Holder, D.S. (2011). Electrical impedance tomography in anisotropic media with known eigenvectors. Inverse Problems, 27 (6), 065004-. doi:10.1088/0266-5611/27/6/065004
Deligianni, F., Robinson, E., Sharp, D., Edwards, A.D., Rueckert, D., Alexander, D.C. (2011). Exploiting hierarchy in structural brain networks. 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 871-874.
Abascal, J.F.P.-.J., Chamorro-Servent, J., Aguirre, J., Arridge, S., Correia, T., Ripoll, J., ...Desco, M. (2011). Fluorescence diffuse optical tomography using the split Bregman method. MEDICAL PHYSICS, 38 (11), 6275-6284. doi:10.1118/1.3656063
Ducros, N., Bassi, A., Valentini, G., Schweiger, M., Arridge, S., D'Andrea, C. (2011). Fluorescence diffuse optical tomography with multiple view structured illumination.
Ducros, N., Bassi, A., Valentini, G., Schweiger, M., Arridge, S., D'Andrea, C. (2011). Fluorescence diffuse optical tomography with multiple view structured illumination.
Soloviev, V.Y., Arridge, S.R. (2011). Fluorescence lifetime optical tomography in weakly scattering media in the presence of highly scattering inclusions. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 28 (7), 1513-1523. doi:10.1364/JOSAA.28.001513
Soloviev, V.Y., McGinty, J., Stuckey, D.W., Laine, R., Wylezinska-Arridge, M., Wells, D.J., ...Arridge, S.R. (2011). Forster resonance energy transfer imaging in vivo with approximated radiative transfer equation. APPLIED OPTICS, 50 (36), 6583-6590. doi:10.1364/AO.50.006583
Schneider, T., Thomas, D.L., Kachramanoglou, C., Ciccarelli, O., Alexander, D.C., Wheeler-Kingshott, C. (2011). Fuzzy partial volume correction of spinal cord DTI parameters.
Tarvainen, T.M., Kolehmainen, V., Arridge, S.R., Kaipio, J.P. (2011). Image reconstruction in diffuse optical tomography using the coupled radiative transport – diffusion model. Journal of Quantitative Spectroscopy and Radiative Transfer, 112 2600-2608. doi:10.1016/j.jqsrt.2011.07.008
Tarvainen, T., Kolehmainen, V., Arridge, S.R., Kaipio, J.P. (2011). Image reconstruction in diffuse optical tomography using the coupled radiative transport-diffusion model. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 112 (16), 2600-2608. doi:10.1016/j.jqsrt.2011.07.008
Barratt, D.C., Hawkes, D.J. (2011). Image Registration and Fusion for Image-Guided Focal Ablation. In Ahmed, H.U., Arya, M., Carroll, P.R., Emberton, M. (Eds.), Focal Therapy in Prostate Cancer. (pp. 132-141). John Wiley & Sons.
Melbourne, A., Cahill, N.D., Tanner, C., Hawkes, D.J., I.E.E.E. (2011). IMAGE REGISTRATION USING AN EXTENDABLE QUADRATIC REGULARISER.
Daga, P., Winston, G., Modat, M., Cardoso, M., White, M., Mancini, L., ...Yousry, T. (2011). Improved neuronavigation through integration of intraoperative anatomical and diffusion images in an interventional MRI suite.
McGinty, J., Stuckey, D.W., Soloviev, V.Y., Laine, R., Wylezinska-Arridge, M., Wells, D.J., ...Sardini, A. (2011). In vivo fluorescence lifetime tomography of a FRET probe expressed in mouse. BIOMEDICAL OPTICS EXPRESS, 2 (7), 1907-1917. doi:10.1364/BOE.2.001907
Daga, P., Winston, G., Modat, M., Cardoso, M.J., Stretton, J., Symms, M., ...Ourselin, S. (2011). Integrating structural and diffusion MR information for optic radiation localisation in focal epilepsy patients.
McClelland, J.R., Hughes, S., Modat, M., Qureshi, A., Ahmad, S., Landau, D.B., ...Hawkes, D.J. (2011). Inter-fraction variations in respiratory motion models.. PHYSICS IN MEDICINE AND BIOLOGY, 56 (1), 251-272. doi:10.1088/0031-9155/56/1/015
Tanner, C., White, M., Guarino, S., Hall-Craggs, M.A., Douek, M., Hawkes, D.J. (2011). Large breast compressions: Observations and evaluation of simulations. MEDICAL PHYSICS, 38 (2), 682-690. doi:10.1118/1.3525837
Pinto Pereira, S.M., McCormack, V.A., Hipwell, J.H., Record, C., Wilkinson, L.S., Moss, S.M., ...dos-Santos-Silva, I. (2011). Localized fibroglandular tissue as a predictor of future tumor location within the breast.. Cancer Epidemiol Biomarkers Prev, 20 (8), 1718-1725. doi:10.1158/1055-9965.EPI-11-0423
Modat, M., Ridgway, G.R., Daga, P., Cardoso, M.J., Hawkes, D.J., Ashburner, J., Ourselin, S. (2011). Log-Euclidean free-form deformation.
MCCLELLAND, J.R., Martin, J., Hawkes, D.J. (2011). Lung tumour tracking and motion compensated reconstruction in cone beam CT.
Cleary, J.O., Modat, M., Norris, F.C., Price, A.N., Jayakody, S.A., Martinez-Barbera, J.P., ...Scambler, P.J. (2011). Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping.. NEUROIMAGE, 54 (2), 769-778. doi:10.1016/j.neuroimage.2010.07.039
Kolehmainen, V., Tarvainen, T., Arridge, S.R., Kaipio, J.P. (2011). Marginalization of uninteresting parameters in inverse problems – application to diffuse optical tomography. International Journal for Uncertainty Quantification, 1 (1), 1-17.
Arridge, S.R. (2011). Methods in diffuse optical imaging. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 369 (1955), 4558-4576. doi:10.1098/rsta.2011.0311
Sherbondy, A.J., Dyrby, T.B., Rowe, M.C., Ptito, M., Wandell, B., Alexander, D.C. (2011). Microstructure Tracking (Microtrack): an algorithm for estimating a multiscale hierarchical white matter model from diffusion-weighted MRI..
Hu, Y., Carter, T.J., Ahmed, H.U., Emberton, M., Allen, C., Hawkes, D.J., Barratt, D.C. (2011). Modelling prostate motion for data fusion during image-guided interventions.. IEEE TRANSACTIONS ON MEDICAL IMAGING, 30 (11), 1887-1900. doi:10.1109/TMI.2011.2158235
SIOW, B., Cleary, J.O., Greene, N.D., Daga, P., Modat, M., Ordidge, R., ...Lythgoe, M.F. (2011). Mouse Embryo Phenotyping with Contrast-enhanced micro-Diffusion Tensor Imaging.
Eshaghi, A., Patel, S.N., Sarabia, A., Higgins, R.R., Savchenko, A., Stojios, P.J., ...Low, D.E. (2011). Multidrug-Resistant Pandemic (H1N1) 2009 Infection in Immunocompetent Child. EMERGING INFECTIOUS DISEASES, 17 (8), 1472-1474. doi:10.3201/eid1708.102004
Cox, B., Tarvainen, T., Arridge, S. (2011). Multiple Illumination Quantitative Photoacoustic Tomography using Transport and Diffusion Models.
Ducros, N., Bassi, A., Valentini, G., Schweiger, M., Arridge, S., D'Andrea, C. (2011). Multiple-view fluorescence optical tomography reconstruction using compression of experimental data. OPTICS LETTERS, 36 (8), 1377-1379. doi:10.1364/OL.36.001377
Bassi, A., Ducros, N., D'andrea, C., Valentini, G., Arridge, S. (2011). Novel approaches based on structured light for fast Diffuse Optical Tomography.
Soloviev, V.Y., Arridge, S.R. (2011). Optical projection tomography for light scattering media.
Soloviev, V.Y., Arridge, S.R. (2011). Optical Tomography in weakly scattering media in the presence of highly scattering inclusions. BIOMEDICAL OPTICS EXPRESS, 2 (3), 440-451. doi:10.1364/BOE.2.000440
SIOW, B., Drobnjak, I., Lythgoe, M.F., Alexander, D.C. (2011). Optimised Gradient Waveform Spin-Echo sequence for Diffusion Weighted MR in a Microstructure Phantom.
Drobnjak, I., Alexander, D.C. (2011). Optimising time-varying gradient orientation for microstructure sensitivity in diffusion-weighted MR.. JOURNAL OF MAGNETIC RESONANCE, 212 (2), 344-354. doi:10.1016/j.jmr.2011.07.017
Lecornet, E., Ahmed, H.U., Hu, Y., Moore, C.M., Nevoux, P., Barratt, D., ...Emberton, M. (2011). PERFORMANCE CHARACTERISTICS OF DIFFERENT TRANSRECTAL (TRB) AND TRANSPERINEAL MAPPING PROSTATE BIOPSY (TPB) STRATEGIES: A SIMULATION ON 96 CYSTOPROSTATECTOMY SPECIMENS (CPTS).
Moore, C.M. (2011). Performances of template prostate mapping (tpm) versus transrectal ultrasound guided (TRUS) biopsies: an original computer simulation on cystoprostectomy specimens..
Somayajula, S., Panagiotou, C., Rangarajan, A., Li, Q., Arridge, S.R., Leahy, R.M. (2011). PET Image Reconstruction Using Information Theoretic Anatomical Priors. IEEE TRANSACTIONS ON MEDICAL IMAGING, 30 (3), 537-549. doi:10.1109/TMI.2010.2076827
Pedemonte, S., Bousse, A., Hutton, B.F., Arridge, S., Ourselin, S. (2011). Probabilistic graphical model of SPECT/MRI. MACHINE LEARNING IN MEDICAL IMAGING, 7009 167-+.
Kunz, N., Zhang, H., O'brien, K.R., Assaf, Y., Alexander, D.C., Lazeyras, F., Hüppi1, P.S. (2011). Probing microstructural information using the CHARMED model in the non-myelinated human newborn brain at 3T.
Menys, A., Ahmed, A., Punwani, S., Odille, F., Steward, M., ATKINSON, D., ...Taylor, S.A. (2011). Quantified small bowel motility during MR enterography in Crohn’s disease as a marker of inflammatory activity..
MORGAN, G.L., Zhang, H., Whitcher, B., Alexander, D.C. (2011). Regional variation models of white matter microstructure.
Roth, H.R., McClelland, J.R., Boone, D.J., Modat, M., Cardoso, M.J., Hampshire, T.E., ...Slabaugh, G.G. (2011). Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography. Medical Physics, 38 (6), 3077-3089. doi:10.1118/1.3577603
Correia, T., Aguirre, J., Sisniega, A., Chamorro-Servent, J., Abascal, J., Vaquero, J.J., ...Arridge, S. (2011). Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information. BIOMEDICAL OPTICS EXPRESS, 2 (9), 2632-2648. doi:10.1364/BOE.2.002632
Melbourne, A., Hipwell, J., Modat, M., Mertzanidou, T., Huisman, H., Ourselin, S., Hawkes, D.J. (2011). The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI.. PHYSICS IN MEDICINE AND BIOLOGY, 56 (24), 7693-7708. doi:10.1088/0031-9155/56/24/001
Clarkson, M.J., Modat, M., Han, L., Ourselin, S., Hawkes, D.J., Alexander, D.C., ...Barrat, D. (2011). The UCL Centre for Medical Image Computing (CMIC): An integrated suite of open source software tools to support imaging research in Neurosciences, Oncology and Cardiovascular Sciences.
Clarkson, M.J., Modat, M., Han, L., Ourselin, S., Hawkes, D.J., Alexander, D.C., ...Barrat, D. (2011). The UCL Centre for Medical Image Computing (CMIC): An integrated suite of open source software tools to support imaging research in Neurosciences, Oncology and Cardiovascular Sciences.
Thompson, S.A., Hu, M., Johnsen, S., Gurusamy, K., Davidson, B., Hawkes, D. (2011). Towards Image Guided Laparoscopic Liver Surgery, Defining the System Requirement.
Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R. (2011). Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study.
Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R. (2011). Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study.

2010

Schweiger, M., Dorn, O., Zacharopoulos, A., Nissila, I., Arridge, S.R. (2010). 3D level set reconstruction of model and experimental data in Diffuse Optical Tomography. Optics Express, 18 (1), 150-164. doi:10.1364/OE.18.000150
Hu, Y., van den Boom, R., Carter, T., Taylor, Z., Hawkes, D., Ahmed, H.U., ...Barratt, D. (2010). A comparison of the accuracy of statistical models of prostate motion trained using data from biomechanical simulations.. PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 103 (2-3), 262-272. doi:10.1016/j.pbiomolbio.2010.09.009
Wheeler-Kingshott, C.A.M., Ciccarelli, O., Schneider, T., Alexander, D.C., Cercignani, M. (2010). A new approach to structural integrity assessment based on axial and radial diffusivities.
Zhuang, X., Rhode, K.S., Razavi, R.S., Hawkes, D.J., Ourselin, S. (2010). A registration-based propagation framework for automatic whole heart segmentation of cardiac MRI.. IEEE Trans Med Imaging, 29 (9), 1612-1625. doi:10.1109/TMI.2010.2047112
Hu, M., Hawkes, D.J., Penney, G.P., Rueckert, D., Edwards, P.J., Bello, F., ...Casula, R. (2010). A ROBUST MOSAICING METHOD FOR ROBOTIC ASSISTED MINIMALLY INVASIVE SURGERY.
Hu, M., Penney, G., Rueckert, D., Edwards, P., Bello, F., Figl, M., ...Miao, Z. (2010). A Robust Mosaicing Method with Super-Resolution for Optical Medical Images.
Morgan, G.L., Zhang, H., Whitcher, B., Alexander, D.C. (2010). A spatial variation model of white matter microstructure.
Allain, B., Hu, M., Lovat, L.B., Cook, R.J., Vercauteren, T., Ourselin, S., Hawkes, D.J. (2010). A system for biopsy site re-targeting with uncertainty in gastroenterology and oropharyngeal examinations..
Cahill, N.D., Noble, J.A., Hawkes, D.J. (2010). ACCOUNTING FOR CHANGING OVERLAP IN VARIATIONAL IMAGE REGISTRATION.
Mertzanidou, T., Hipwell, J.H., Tanner, C., Hawkes, D.J. (2010). An intensity-based approach to X-ray mammography - MRI registration.
Tarvainen, T., Kolehmainen, V., Pulkkinen, A., Vauhkonen, M., Schweiger, M., Arridge, S.R., Kaipio, J.P. (2010). Approximation error approach for compensating for modelling errors between the radiative transfer equation and diffusion approximation in diffuse optical tomography. Inverse Problems, 26 015005-. doi:10.1088/0266-5611/26/1/015005
Pereira, S.M.P., Hipwell, J.H., McCormack, V.A., Tanner, C., Moss, S.M., Wilkinson, L.S., ...Kliger, C.J. (2010). Automated registration of diagnostic to prediagnostic x-ray mammograms: Evaluation and comparison to radiologists' accuracy. MED PHYS, 37 (9), 4530-4539. doi:10.1118/1.3457470
Pinto Pereira, S.M., Hipwell, J.H., McCormack, V.A., Tanner, C., Moss, S.M., Wilkinson, L.S., ...Kliger, C.J. (2010). Automated registration of diagnostic to prediagnostic x-ray mammograms: Evaluation and comparison to radiologists' accuracy.. Medical physics, 37 (9), 4530-4539. doi:10.1118/1.3457470
Tanner, C., Hipwell, J.H., Hawkes, D.J., Szekely, G. (2010). Breast Shapes on Real and Simulated Mammograms.
Pedemonte, S., Cardoso, M.J., Bousse, A., Panagiotou, C., Kazantsev, D., Arridge, S., ...Ourselin, S. (2010). Class Conditional Entropic Prior for MRI Enhanced SPECT Reconstruction.
Kumar, P., Thompson, S.A., Elhage, O., Challacombe, B.J., Penney, G., Hawkes, D. (2010). CLINICAL ASSESSMENT OF MRI GUIDED ROBOTIC RADICAL PROSTATECTOMY. JOURNAL OF ENDOUROLOGY, 24 A84.
Fuin, N., Bousse, A., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B. (2010). Collimator Design in SPECT, an Optimisation Tool. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 3149-3154.
Elisee, J.P., Gibson, A., Arridge, S. (2010). Combination of boundary element method and finite element method in diffuse optical tomography. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 57 (11), 2737-2745. doi:10.1109/TBME.2010.2055868
Yang, G., Hipwell, J.H., Clarkson, M.J., Tanner, C., Mertzanidou, T., Gunn, S., ...Arridge, S.R. (2010). Combined Reconstruction and Registration of Digital Breast Tomosynthesis.
Yang, G., Hipwell, J.H., Clarkson, M.J., Tanner, C., Mertzanidou, T., Gunn, S., ...Arridge, S.R. (2010). Combined Reconstruction and Registration of Digital Breast Tomosynthesis..
Hu, Y., Arumainayagam, N., Ahmed, H.U., Freeman, A., Hawkes, D., Emberton, M., Barratt, D. (2010). COMPARISON BETWEEN TRANSPERINEAL AND TRANSRECTAL BIOPSY FOR THE DETECTION OF PROSTATE CANCER TO GUIDE FOCAL THERAPY.
Roth, H., McClelland, J., Boone, D., Hu, M., Ourselin, S., Slabaugh, G., ...Medicsight, P.L.C. (2010). Conformal Mapping of the Inner Colon Surface to a Cylinder for the Application of Prone to Supine Registration.
TARVAINEN, T., Kolehmainen, V., Kaipio, J.P., Arridge, S.R. (2010). Corrections to linear methods for diffuse optical tomography using approximation error modelling. Biomedical Optics Express, 1 (1), 209-222. doi:10.1364/BOE.1.000209
Tanner, C., Carter, T., Hawkes, D., Szekely, G. (2010). Cylindrical Affine Transformation Model for Image Registration.
Melbourne, A., Hawkes, D.J., Atkinson, D. (2010). Data driven groupwise registration of diffusion weighted images.
Melbourne, A., Hawkes, D.J., Atkinson, D. (2010). Data driven groupwise registration of diffusion weighted images..
Hu, Y., Rijkhorst, E.-.J., Manber, R., Hawkes, D.J., Barratt, D.C. (2010). Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Drift..
Dyrby, T.B., Hubbard, P.L., Ptito, M., Hall, M.G., Alexander, D.C. (2010). Dependence of Axon Diameter Index on Maximum Gradient Strength.
SIOW, B., Carmichael, D.W., Riegler, J., Alexander, D.A., Lythgoe, M.F., Ordidge, R. (2010). Detection of Human Mononuclear Cells Labelled with Micron-Sized Iron Oxide Particles Using the Sub-Pixel Enhancement of Nonuniform Tissue (SPENT) Sequence.
Jafar, Y.M., Hipwell, J.H., Tanner, C., Hawkes, D.J. (2010). Detection of Stable Mammographic Features under Compression using Simulated Mammograms.
Zacharopoulos, A., Garofalakis, A., Ripoll, J., Arridge, S. (2010). Development of in-vivo fluorescence imaging with the Matrix-Free method.
Modat, M., Vercauteren, T., Ridgway, G.R., Hawkes, D.J., Fox, N.C., Ourselin, S. (2010). Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images.
Pinto Pereira, S., McCormack, V., Hipwell, J., Record, C., Wilkinson, L., Moss, S., ...Silva, I. (2010). Do breast cancers arise in areas of the breast that pre-diagnostically had high mammographic density?.
Roth, H., McClelland, J., Modat, M., Boone, D., Hu, M., Ourselin, S., ...Hawkes, D. (2010). Establishing spatial correspondence between the inner colon surfaces from prone and supine CT colonography..
Cade, S., Bousse, A., Arridge, S., Evans, M., Hutton, B. (2010). Estimating an attenuation map from measured scatter for 180 degrees cardiac SPECT.
Kazantsev, D., Pedemonte, S., Bousse, A., Panagiotou, C., Arridge, S.R., Hutton, B.F., Ourselin, S. (2010). ET Bayesian reconstruction using automatic bandwidth selection for joint entropy optimization. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 3301-3307.
Cahill, N.D., Noble, J.A., Hawkes, D.J. (2010). Extending the Quadratic Taxonomy of Regularizers for Nonparametric Registration.
D'Andrea, C., Ducros, N., Bassi, A., Arridge, S., Valentini, G. (2010). Fast 3D optical reconstruction in turbid media using spatially modulated light. BIOMEDICAL OPTICS EXPRESS, 1 (2), 471-481. doi:10.1364/BOE.1.000471
Han, L., Hipwell, J.H., Taylor, Z.A., Tanner, C., Ourselin, S., Hawkes, D.J. (2010). Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method..
Modat, M., Ridgway, G.R., Taylor, Z.A., Lehmann, M., Barnes, J., Hawkes, D.J., ...Ourselin, S. (2010). Fast free-form deformation using graphics processing units.. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 98 (3), 278-284. doi:10.1016/j.cmpb.2009.09.002
Rudge, T.J., Soloviev, V., Arridge, S.R. (2010). Fast image reconstruction in fluoresence optical tomography using data compression. Optics Letters, 35 (5), 763-766. doi:10.1364/OL.35.000763
Kezele, I., Batchelor, P.G., Poupon, C., Mangin, J.-.F., Le Bihan, D., Alexander, D.C. (2010). Feasibility of Measuring Microstructural Features of Systems with Intermediate Exchange and Sub-Cellular Compartmentalization Using Diffusion MRI.
Soloviev, V.Y., D'Andrea, C., Mohan, P.S., Valentini, G., Cubeddu, R., Arridge, S.R. (2010). Fluorescence lifetime optical tomography with Discontinuous Galerkin discretisation scheme. BIOMEDICAL OPTICS EXPRESS, 1 (3), 998-1013. doi:10.1364/BOE.1.000998
Ducros, N., D'andrea, C., Valentini, G., Rudge, T., Arridge, S., Bassi, A. (2010). Full-wavelet approach for fluorescence diffuse optical tomography with structured illumination. OPTICS LETTERS, 35 (21), 3676-3678. doi:10.1364/OL.35.003676
Pedemonte, S., Bousse, A., Erlandsson, K., Modat, M., Arridge, S., Hutton, B.F., Ourselin, S. (2010). GPU accelerated rotation-based emission tomography reconstruction. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2657-2661.
Thompson, S., PENNEY, G., Hawkes, D., Elhage, O., Dasgupta, P. (2010). Image Guided Robotic Radical Prostatectomy.
Melbourne, A., Ridgway, G., Hawkes, D.J. (2010). Image Similarity Metrics in Image Registration.
Schneider, T., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2010). In-vivo estimates of axonal characteristics using optimized diffusion MRI protocols for single fibre orientation..
Alexander, D.C., Seunarine, K.K. (2010). Mathematics of Crossing Fibres. In Jones, D.K. (Ed.), Diffusion MRI. Oxford University Press, USA.
Kezele, I., Alexander, D.C., Batchelor, P.G., Mangin, J.-.F., Le Bihan, D., Poupon, C. (2010). Measuring Microstructural Features Related to Neuronal Activation Using Diffusion MRI and Three-Compartment Diffusion Models: A Feasibility Study.
Sherbondy, A.J., Rowe, M.C., Alexander, D.C. (2010). MicroTrack: An algorithm for concurrent projectome and microstructure estimation.
Sherbondy, A.J., Rowe, M.C., Alexander, D.C. (2010). MicroTrack: an algorithm for concurrent projectome and microstructure estimation.. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2010, PT I, 6361 183-+.
Modat, M., Taylor, Z., Ridgway, G., Barnes, J., Wild, E., Hawkes, D.J., ...Ourselin, S. (2010). Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington’s Disease Data.
Hawkes, D., McClelland, J., Modat, M., Roth, H., Ourselin, S. (2010). NON-RIGID IMAGE REGISTRATION - HOW DOES IT WORK?.
Hu, M.X. (2010). Non-rigid reconstruction of the beating heart surface for minimally invasive cardiac surgery.
Modat, M., Ridgway, G.R., Hawkes, D.J., Fox, N.C., Ourselin, S. (2010). Nonrigid registration with differential bias correction using normalised mutual information.
Prevost, R., Buckley, D.L., Alexander, D.C. (2010). Optimization of the DCE-CT protocol using active imaging.
Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2010). Optimized diffusion MRI protocols for estimating axon diameter with known fibre orientation.
Drobnjak, I., Siow, B., Alexander, D. (2010). Optimizing gradient waveforms for microstructure sensitivity in diffusion-weighted MR. Journal of Magnetic Resonance,
Alexander, D.C., Hubbard, P.L., Hall, M.G., Moore, E.A., Ptito, M., Parker, G.J.M., Dyrby, T.B. (2010). Orientationally invariant indices of axon diameter and density from diffusion MRI.. NEUROIMAGE, 52 (4), 1374-1389. doi:10.1016/j.neuroimage.2010.05.043
Bousse, A., Fuin, N., Erlandsson, K., Pedemonte, S., Kazantsev, D., Ourselin, S., ...Hutton, B.F. (2010). Point spread function optimization in SPECT. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2061-2065.
Morgan, G.L., Newbould, R.D., Whitcher, B., Alexander, D.C. (2010). Polynomial models of the spatial variation of axon radius in white matter.
Sweet, A., Alexander, D.C. (2010). Reduced Encoding Persistent Angular Structure.
Zhuang, X., Yao, C., Ma, Y., Hawkes, D.J., Penney, G.P., Ourselin, S. (2010). Registration-based propagation for whole heart segmentation from compounded 3D echocardiography..
Rijkhorst, E.-.J., Heanes, D., Odille, F., Hawkes, D.J., Barratt, D.C. (2010). Simulating Dynamic Ultrasound Using MR-derived Motion Models to Assess Respiratory Synchronisation for Image-Guided Liver Interventions..
Zhuang, X., Hawkes, D.J., Ourselin, S. (2010). Spatial Information Encoded Mutual Information for Nonrigid Registration..
Rueckert, D., Hawkes, D., Gerig, G., Yang, G.-.Z. (2010). Special Issue on the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2009. MEDICAL IMAGE ANALYSIS, 14 (5), 631-632. doi:10.1016/j.media.2010.06.008
Kleinnijenhuis, M., Barth, M., Alexander, D.C., Van Cappellen Van Walsum, A.-.M., Norris, D.G. (2010). SWI-Informed Diffusion Tensor Tractography.
Melbourne, A., Hipwell, J.H., Hawkes, D.J. (2010). The Effect of Motion Correction on Pharmacokinetic Parameter Estimation..
Yogarajah, M., Focke, N.K., Bonelli, S.B., Thompson, P., Vollmar, C., McEvoy, A.W., ...Duncan, J.S. (2010). The structural plasticity of white matter networks following anterior temporal lobe resection.. Brain, 133 (8), 2348-2364. doi:10.1093/brain/awq175
Panagiotaki, E., Hall, M.G., Siow, B., Lythgoe, M.F., Alexander, D.C. (2010). Three-dimensional models of tissue microstructure for simulating high-precision diffusion MRI data.
Soloviev, V.Y., McGinty, J., Tahir, K.B., Laine, R., Stuckey, D.W., Mohan, P.S., ...Arridge, S.R. (2010). Tomographic imaging of flourescence resonance energy transfer in highly light scattering media.
Soloviev, V.Y., McGinty, J., Tahir, K.B., Laine, R., Stuckey, D.W., Mohan, P.S., ...Arridge, S.R. (2010). Tomographic imaging of Fluorescence Resonance Energy Transfer in highly light scattering media.
Bousse, A., Erlandsson, K., Pedemonte, S., Kazantsev, D., Ourselin, S., Arridge, S., Hutton, B.F. (2010). Weighted MRI-Based bowsher priors for SPECT brain image reconstruction. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 3519-3522.
Zhuang, X., Leung, K., Rhode, K., Razavi, R., Hawkes, D., Ourselin, S. (2010). Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy.
Mertzanidou, T., Hipwell, J.H., Cardoso, M.J., Tanner, C., Ourselin, S., Hawkes, D.J. (2010). X-ray Mammography - MRI Registration Using a Volume-Preserving Affine Transformation and an EM-MRF for Breast Tissue Classification..

2009

Zacharopoulos, A., Schweiger, M., Kolehmainen, V., Arridge, S. (2009). 3D shape based reconstruction of experimental data in Diffuse Optical Tomography. Optics express, 17 (21), 18940-18956. doi:10.1364/OE.17.018940
Hiltunen, P., Arridge, S., Prince, S. (2009). A combined reconstructions classification method for diffuse optial tomography. Physics in Medicine and Biology, 54 6457-6476.
Cahill, N.D., Noble, J.A., Hawkes, D.J. (2009). A Demons algorithm for image registration with locally adaptive regularization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5761 LNCS (PART 1), 574-581. doi:10.1007/978-3-642-04268-3_71
Cahill, N.D., Noble, J.A., Hawkes, D.J. (2009). A Demons Algorithm for Image Registration with Locally Adaptive Regularization.
Yogarajah, M., Focke, N., Bonelli, S., Parker, G.J.M., Alexander, D.C., Thompson, P., ...Duncan, J. (2009). A disproportionate role for the fornix in recall rather than recognition memory - tractography evidence in temporal lobe epilepsy.
Wright, S., Arridge, S., Schweiger, M. (2009). A finite element method for the even-parity Radiative Transfer Equation using the P N Approximation. In Numerical Methods in Multidimensional Radiative Transfer. (pp. 39-48). .
Zacharopoulos, A.D., Svenmarker, P., Axelsson, J., Schweiger, M., Arridge, S.R., Andersson-Engels, S. (2009). A matrix-free algorithm for multiple wavelength fluorescence tomography. Optics express, 17 (5), 3025-3035. doi:10.1364/OE.17.003025
Papastavrou, Y., Cash, D., Hawkes, D., Hutton, B. (2009). A Multi-component similarity measure for improved robustness of non-rigid registration of combined FDG PET-CT head and neck images.
Chinchapatnam, P., Ginks, M., Sermesant, M., Rhode, K., Arridge, S., Lambiase, P., ...Razavi, R. (2009). A novel method of estimating electrical recruitability of myocardial tissue using an electrophysiological model.
Modat, M., Ridgway, G.R., Taylor, Z.A., Hawkes, D.J., Fox, N.C., Ourselin, S. (2009). A parallel-friendly normalized mutual information gradient for free-form registration.
Fonteijn, H.M., Hall, M.G., Alexander, D.C. (2009). A study on the validity of the tortuosity approximation for extracellular diffusion using monte-carlo simulations.
Hughes, S., Boutland, J., Adams, M., McClelland, J., Deehan, C., Hawkes, D., Landau, D. (2009). A study to find a suitable fiducial marker to validate the use of non-rigid registration (NRR) algorithms and 4D-CT motion modelling in lung cancer radiotherapy.
King, A.P., Boubertakh, R., Rhode, K.S., Ma, Y.L., Chinchapatnam, P., Gao, G., ...Gill, J.S. (2009). A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures. MEDICAL IMAGE ANALYSIS, 13 (3), 419-431. doi:10.1016/j.media.2009.01.003
Thompson, S.A., Penney, G., Carter, T., Dasgupta, P., Hawkes, D. (2009). Accuracy Analysis of an Image Guided Robotic Urology Surgery System.
Hill, D.L.G., Hawkes, D.J. (2009). Across-modality registration using intensity-based cost functions. .
Clayden, J.D., Nagy, Z., Hall, M.G., Clark, C.A., Alexander, D.C. (2009). Active imaging with dual spin-echo diffusion MRI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5636 LNCS 264-275. doi:10.1007/978-3-642-02498-6_22
Clayden, J.D., Nagy, Z., Hall, M.G., Clark, C.A., Alexander, D.C. (2009). Active imaging with dual spin-echo diffusion MRI.. 264-275.
Tanner, C., White, M., Guarino, S., Hall-Craggs, M.A., Douek, M., Hawkes, D.J. (2009). Anisotropic Behaviour of Breast Tissue for Large Compressions.
Kolehmainen, V., Schweiger, M., Nissila, I., Tarvainen, T., Arridge, S.R., Kaipio, J.P. (2009). Approximation errors and model reduction in three-dimensional diffuse optical tomography. Journal of the Optical Society of the America A, 26 (10), 2257-2267. doi:10.1364/JOSAA.26.002257
Hughes, S., McClelland, J., Tarte, S., Lawrence, D., Ahmad, S., Hawkes, D., Landau, D. (2009). Assessment of two novel ventilatory surrogates for use in the delivery of gated/tracked radiotherapy for non-small cell lung cancer. RADIOTHERAPY AND ONCOLOGY, 91 (3), 336-341. doi:10.1016/j.radonc.2009.03.016
Clayden, J.D., Nagy, Z., Alexander, D.C., Clark, C.A. (2009). Axon radius estimation using optimised Stejskal-Tanner and dual spin echo sequences at modest SNR.
Allain, B., Hu, M.X., Lovat, L.B., Ourselin, S., Cook, R., Hawkes, D.J. (2009). Biopsy Site Re-localisation based on the Computation of Epipolar Lines from Two Previous Endoscopic Images.
Husakov, A., Herrmann, J. (2009). Chirped multilayer hollow waveguides with broadband transmission.. Optics express, 17 (5), 3016-3024. doi:10.1364/oe.17.003025
Soloviev, V.Y., D'Andrea, C., Valentini, G., Cubeddu, R., Arridge, S.R. (2009). Combined reconstruction of fluorescent and optical parameters using time-resolved data. Applied Optics, 48 (1), 28-36. doi:10.1364/AO.48.000028
Melbourne, A., Collins, D.J., Leach, M.O., Koh, D.-.M., Hawkes, D.J., Atkinson, D. (2009). Contrast Enhanced Image Registration using Kullbach-Leibler Assisted Image Matching and Patching (KLAMP).
Hall, M.G., Alexander, D.C. (2009). Convergence and parameter choice for Monte-Carlo simulations of diffusion MRI. IEEE Transactions on Medical Imaging, 28 (9), 1354-1364.
Yogarajah, M., Focke, N.K., Bonelli, S., Cercignani, M., Acheson, J., Parker, G.J., ...Koepp, M.J. (2009). Defining Meyer's loop-temporal lobe resections, visual field deficits and diffusion tensor tractography. Brain, 132 (6), 1656-1668. doi:10.1093/brain/awp114
Cahill, N.D., Noble, J.A., Hawkes, D.J. (2009). DEMONS ALGORITHMS FOR FLUID AND CURVATURE REGISTRATION.
Bassi, A., D'Andrea, C., Valentini, G., Cubeddu, R., Arridge, S.R. (2009). Detection of inhomogeneities in diffusive media using spatially modulated light. Optics Letters, 34 2156-2158.
Carter, T.J., Tanner, C., Hawkes, D.J. (2009). Determining material properties of the breast for image-guided surgery.
Choe, R., Konecky, S.D., Corlu, A., Lee, K., Durduran, T., Busch, D., ...Fraker, D.L. (2009). Differentiation of Benign and Malignant Breast Tumor by in-vivo Parallel-Plate Diffuse Optical Tomography. Journal of Biomedical Optics, 14 (2),
Choe, R., Konecky, S.D., Corlu, A., Lee, K., Durduran, T., Busch, D.R., ...Fraker, D.L. (2009). Differentiation of benign and malignant breast tumors by in-vivo three-dimensional parallel-plate diffuse optical tomography. JOURNAL OF BIOMEDICAL OPTICS, 14 (2), doi:10.1117/1.3103325
Panagiotou, C., Somayajula, S., Gibson, A.P., Schweiger, M., Leahy, R.M., Arridge, S.R. (2009). DIFFUSION OPTICAL TOMOGRAPHY USING ENTROPIC PRIORS.
Cox, B.T., Arridge, S.R., Beard, P.C. (2009). Estimating chromophore distributions from multiwavelength photoacoustic images. Journal of the Optical Society of America, 26 (2), 443-455. doi:10.1364/JOSAA.26.000443
Chinchapatnam, P., Rhode, K.S., Ginks, M., Mansi, T., Peyrat, J.M., Lambiase, P., ...Sermesant, M. (2009). Estimation of volumetric myocardial apparent conductivity from endocardial electro-anatomical mapping.. Conf Proc IEEE Eng Med Biol Soc. 2009;, (1), 2907-2910.
Miyazaki, K., Orton, M.R., Koh, D.-.M., Lewington, V., Atkinson, D., Hawkes, D.J., ...Collins, D.J. (2009). Evaluation of slope-based hepatic perfusion index quantification methods against dual-input kinetic model based approach.
Panagiotaki, E., Fonteijn, H.M., Nedjati-Gilani, S., Hall, M.G., Alexander, D.C. (2009). Exploring analytic models of the diffusion MR signal in fixed rat brain tissue.
Nedjati-Gilani, S., Alexander, D.C. (2009). Fanning and bending sub-voxel structures in diffusion MRI.
Zhuang, X., Rhode, K., Razavi, R., Hawkes, D.J., Ourselin, S. (2009). Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation.
Miyazaki, K., Orton, M.R., Lewington, V., Atkinson, D., Hawkes, D.J., Leach, M.O., Collins, D.J. (2009). Hepatic perfusion quantification using a dual-input kinetic model with a novel portal venous estimation method: Evaluation against other model- and slope-based perfusion quantification approaches.
Thompson, S.A., Penney, G., Dasgupta, P., Hawkes, D. (2009). Image Guidance in Robot Assisted Prostatectomy.
Melbourne, A., Hawkes, D.J., Atkinson, D. (2009). Image registration using uncertainty coefficients.
Hawkes, D., McClelland, J., Modat, M., Barratt, D., Rijkhorst, E., Hu, Y., ...Ourselin, S. (2009). IMAGE REGISTRATION, MOTION MODELING AND TISSUE DEFORMATION.
Bassi, A., D'Andrea, C., Valentini, G., Cubeddu, R., Arridge, S. (2009). Imaging of highly scattering media by spatially modulated pulsed light.
Panagiotou, C., Somayajula, S., Gibson, A.P., Schweiger, M., Leahy, R.M., Arridge, S.R. (2009). Information theoretic regularization in diffuse optical tomography.. Journal of the Optical Society of America, 26 (5), 1277-1290.
Karssemeijer, N., Huisman, H., Hawkes, D., Hipwell, J., Boehler, T., Lesniak, J., ...Hahn, H. (2009). INTEGRATING BIOLOGICAL KNOWLEDGE, NOVEL IMAGING MODALITIES, AND MODELING IN BREAST CANCER DIAGNOSIS.
Dyrby, T.B., Baare, W.F.C., Alexander, D.C., Jelsing, J., Garde, E., Sogaard, L.V. (2009). Longitudinal changes in diffusivity after long-term storage of postmortem tissue.
Nagy, Z., Alexander, D.C., Weiskopf, N. (2009). Measuring and correcting errors that occur in diffusion weighted images due to non-ideal gradient linearity.
Wheeler-Kingshott, C.A.M., Alexander, D.C., Schneider, T., Cercignani, M. (2009). Measuring axial and radial diffusivities in the brain..
Hawkes, D.J., Hu, Y., Ahmed, H.U., Emberton, M., Barratt, D. (2009). Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009. Springer.
Shepherd, T., Alexander, D.C. (2009). Mid-Level Shape Priors for Supervised Contouring.
Alexander, D.C. (2009). Modelling, Fitting and Sampling in Diffusion MRI. In Laidlaw, D., Weickert, J. (Eds.), Visualization and Processing of Tensor Fields. (pp. 3-20). Springer Verlag.
White, M.J., Hawkes, D.J., Melbourne, A., Collins, D.J., Coolens, C., Hawkins, M., ...Atkinson, D. (2009). Motion artefact correction in free-breathing abdominal MRI using overlapping partial samples to recover image deformations. Magnetic Resonance in Medicine, 62 (2), 440-449. doi:10.1002/mrm.22017
Hu, Y., Ahmed, H.U., Allen, C., Pendse, D., Sahu, M., Emberton, M., ...Barratt, D. (2009). MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions.
Hu, Y., Ahmed, H.U., Allen, C., Pendsé, D., Sahu, M., Emberton, M., ...Barratt, D. (2009). MR to ultrasound image registration for guiding prostate biopsy and interventions.
Seunarine, K.K., Alexander, D.C. (2009). Multiple fibers: beyond the diffusion tensor. In Diffusion MRI: from quantitative measurement to in vivo neuroanatomy. (pp. 55-72). Academic Press.
Hu, M., Penney, G.P., Rueckert, D., Edwards, P.J., Bello, F., Casula, R., ...Hawkes, D.J. (2009). Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery.
Orton, M.R., Miyazaki, K., Koh, D.-.M., Collins, D.J., Atkinson, D., Hawkes, D.J., Leach, M.O. (2009). Novel method of portal delay and dispersion estimation for dual-input kinetic modelling of DCE-MRI liver data.
Taylor, Z.A., Comas, O., Cheng, M., Passenger, J., Hawkes, D.J., Atkinson, D., Ourselin, S. (2009). On modelling of anisotropic viscoelasticity for soft tissue simulation: numerical solution and GPU execution.. Medical Image Analysis, 13 (2), 234-244. doi:10.1016/j.media.2008.10.001
Orton, M.R., Miyazaki, K., Koh, D.-.M., Collins, D.J., Atkinson, D., Hawkes, D.J., Leach, M.O. (2009). Onset estimation for dual input DCE-MRI liver data : information criteria used to determine statistical optimality of global or pixel-wise onset estimation.
Arridge, S.R., Schotland, J.C. (2009). Optical tomography: forward and inverse problems. INVERSE PROBLEMS, 25 (12), doi:10.1088/0266-5611/25/12/123010
Orton, M.R., Miyazaki, K., Koh, D.-.M., Collins, D.J., Hawkes, D.J., Atkinson, D., Leach, M.O. (2009). Optimizing Functional Parameter Accuracy for Breath-hold DCE-MRI of Liver Tumours. Physics in Medicine and Biology, 54 (7), 2197-2215. doi:10.1088/0031-9155/54/7/023
Alexander, D.C., Hubbard, P.L., Hall, M.G., Moore, E.A., Ptito, M., Parker, G.J.M., Dyrby, T.B. (2009). Orientationally invariant axon-size and density weighted MRI.
Cahill, N.D., Schnabel, J.A., Noble, J.A., Hawkes, D.J. (2009). Overlap invariance of cumulative residual entropy measures for multimodal image alignment.
Sermesant, M., Billet, F., Chabiniok, R., Mansi, T., Chinchapatnam, P., Moireau, P., ...Lambiase, P. (2009). Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy.
Sermesant, M., Billet, F., Chabiniok, R., Mansi, T., Chinchapatnam, P., Moireau, P., ...Lambiase, P. (2009). Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy..
Allain, B., Price, A., Vercauteren, T.K., Cook, R.J., Ourselin, S., Lythgoe, M.F., Hawkes, D.J. (2009). Precision of Confocal Miniprobe Localisation Assessed By High-Field Magnetic Resonance Imaging.
Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2009). Preliminary investigation of position dependency of radial diffusivity in the cervical spinal cord.
Shepherd, T., Alexander, D.C. (2009). Probabilistic Time Series Models for Statistical Shape Priors in Region Contouring.
Punwani, S., Halligan, S., Tolan, D., Taylor, S.A., Hawkes, D. (2009). Quantitative assessment of colonic movement between prone and supine patient positions during CT colonography.. BRITISH JOURNAL OF RADIOLOGY, 82 (978), 475-481. doi:10.1259/bjr/91937173
Beard, P.C., Laufer, J.G., Cox, B.T., Arridge, S.R. (2009). Quantitative photoacoustic imaging: measurement of absolute chromophore concentrations for physiological and molecular imaging. In Wang, L.V. (Ed.), Photoacoustic Imaging and Spectroscopy. Taylor and Francis.
D'Andrea, C., Bassi, A., Valentini, G., Cubeddu, R., Arridge, S. (2009). Structured illumination and time gated detection for diffuse optical imaging.
D'Andrea, C., Bassi, A., Valentini, G., Cubeddu, R., Arridge, S. (2009). Structured illumination and time gated detection for diffuse optical imaging.
Prince, S.J.D., Alexander, D.C. (2009). Super-resolving patches in diffusion MRI using canonical fibre configurations.
Melbourne, A., Orton, M., Collins, D.J., Koh, D.-.M., Leach, M.O., Hawkes, D.J., Atkinson, D. (2009). The effect of image registration on pharmacokinetic parameter extraction using 3D DCE-MRI.
Wheeler-Kingshott, C.A.M., Alexander, D.C., Cercignani, M. (2009). The relationship between "axial" and "radial" diffusivities and the eigenvectors of the diffusion tensor in the brain.
McGinty, J., Soloviev, V.Y., Tahir, K.B., Laine, R., Stuckey, D.W., Hajnal, J.V., ...Arridge, S.R. (2009). Three-dimensional imaging of Förster resonance energy transfer in heterogeneous turbid media by tomographic fluorescent lifetime imaging. Optics Letters, 34 (17), 2772-2774.
Yogarajah, M., Focke, N., Bonelli, S., Parker, G., Alexander, D., Thompson, P., ...Duncan, J. (2009). TRACTOGRAPHY AND THE DISTRIBUTED NETWORK DAMAGE UNDERLYING MEMORY IMPAIRMENT IN TEMPORAL LOBE EPILEPSY.
Yogarajah, M., Focke, N., Cercignani, M., Acheson, J., Bonnelli, S., Parker, G., ...Koepp, M. (2009). TRACTOGRAPHY OF MEYER'S LOOP AND TEMPORAL LOBE RESECTION.
Yogarajah, M., Focke, N., Bonelli, S., Parker, G.J.M., Alexander, D.C., Symms, M.R., ...Duncan, J.S. (2009). TRACTOGRAPHY OF THE OPTIC RADIATION IN PRESURGICAL TEMPORAL LOBE EPILEPSY PATIENTS.
Panagiotaki, E., Fonteijn, H., Siow, B., Hall, M.G., Price, A., Lythgoe, M.F., Alexander, D.C. (2009). Two-compartment models of the diffusion MR signal in brain white matter. 1 329-336.
Zhuang, X., Hawkes, D.J., Ourselin, S. (2009). Unifying encoding of spatial information in mutual information for nonrigid registration.
Tanner, C., Hipwell, J.H., Hawkes, D.J. (2009). Using statistical deformation models for the registration of multimodal breast images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259 doi:10.1117/12.811631
Haroon, H.A., Morris, D.M., Embleton, K.V., Alexander, D.C., Parker, G.J.M. (2009). Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis. IEEE TRANSACTIONS ON MEDICAL IMAGING, 28 (4), 535-550. doi:10.1109/TMI.2008.2006528
Chinchapatnam, P., Rhode, K.S., Ginks, M., Nair, P.B., Razavi, R., Arridge, S.R., Sermesant, M. (2009). Voxel Based Adaptive Meshless Method for Cardiac Electrophysiology Simulation..
Siewerdsen, J., Hawkes, D., Keall, P. (2009). WE‐E‐303A‐01: Image‐Guided Therapies: Advances in Imaging, Modeling, and New Applications.

2008

Kastanis, I., Arridge, S.R., Stewart, A., Gunn, S., Ullberg, C., Francke, T. (2008). 3D Digital Breast Tomosynthesis Using Total Variation Regularization..
Soloviev, V.Y., D'Andrea, C., Brambilla, M., Valentini, G., Cubeddu, R., Schulz, R.B., Arridge, S.R. (2008). 3-D Fluorescence Imaging in Turbid Media by Using Time Gated Data Acquisition.
Gibson, A.P., Enfield, L.C., Schweiger, M., Arridge, S.R., Douek, M., Hebden, J.C. (2008). 3D Optical mammography of the uncompressed breast.
Schweiger, M., Dorn, O., Arridge, S.R. (2008). 3-D shape and contrast reconstruction in optical tomography with level sets.
Hughes, S., McClelland, J., Chandler, A., Adams, M., Boutland, J., Withers, D., ...Hawkes, D. (2008). A comparison of internal target volume definition by limited four-dimensional computed tomography, the addition of patient-specific margins, or the addition of generic margins when planning radical radiotherapy for lymph node-positive non-small cell lung cancer. CLINICAL ONCOLOGY, 20 (4), 293-300. doi:10.1016/j.clon.2007.12.004
Alexander, D.C. (2008). A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features.. Magnetic Resonance in Medicine, 60 439-448.
Hall, M.G., Alexander, D.C. (2008). A hexagon is a circle.
Hipwell, J., Tanner, C., Crum, W.R., Schnabel, J., Hawkes, D.J. (2008). A new validation method for validation of X-ray Mammogram Registration Algorithms using a Projection Model of Breast X-ray Compression. IEEE Transactions on Medical Imaging, 26 1190-1200. doi:10.1088/0031-9155/52/16/007
Hipwell, J., Tanner, C., Crum, W.R., Schnabel, J., Hawkes, D.J. (2008). A new validation method for validation of X-ray Mammogram Registration Algorithms using a Projection Model of Breast X-ray Compression. IEEE Transactions on Medical Imaging, 26 1190-1200. doi:10.1088/0031-9155/52/16/007
Hu, M., Penney, G., Rueckert, D., Edwards, P., Figl, M., Pratt, P., Hawkes, D. (2008). A novel algorithm for heart motion analysis based on geometric constraints.. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2008, PT I, PROCEEDINGS, 5241 720-+.
Phani Chinchapatnam, M.R.G., Maxime Sermesant, K.R., Simon Arridge, P.D.L., Julian Bostock, C.A.R., and, R.R. (2008). A Novel Electrophysiological Model Using Hybrid X-Ray/MRI and Non-Contact Mapping to Estimate Electrical Recruitability of Myocardial Tissue.
Penney, G.P., Griffin, L.D., King, A.P., Hawkes, D.J. (2008). A novel framework for multi-modal intensity-based similarity measures based on internal similarity.
Hu, Y., Morgan, D., Ahmed, H.U., Pendsé, D., Sahu, M., Allen, C., ...Barratt, D. (2008). A statistical motion model based on biomechanical simulations for data fusion during image-guided prostate interventions.
Hu, Y., Morgan, D., Ahmed, H.U., Pendsé, D., Sahu, M., Allen, C., ...Barratt, D. (2008). A statistical motion model based on biomechanical simulations for data fusion during image-guided prostate interventions..
King, A.P., Boubertakh, R., Ng, K.L., Ma, Y.L., Chinchapatnam, P., Gao, G., ...Rhode, K.S. (2008). A technique for respiratory motion correction in image guided cardiac catheterisation procedures.
Hall, M.G., Alexander, D.C. (2008). A tissue model of white matter undergoing tissue swelling.
Dyrby, T.B., Jelsing, J., Alexander, D.C., Sogaard, L.V. (2008). Acquiring optimal DWI data for tractography on post-mortem brain tissue.
Soloviev, V.Y., D'Andrea C, B.M., Valentini G, S., R B, C., R, A., S, R. (2008). Adjoint time domain method for fluorescent imaging in turbid media. Applied Optics, 47 (13), 2303-2311.
Hall, M.G., Alexander, D.C. (2008). Agreement and disagreement in two models of synthetic diffusion MR data.
Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D.J., Ourselin, S. (2008). An atlas-based segmentation propagation framework using locally affine registration – Application to automatic whole heart segmentation.
Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D.J., Ourselin, S. (2008). An atlas-based segmentation propagation framework using locally affine registration – Application to automatic whole heart segmentation.
Hughes, S., McClelland, J., Tarte, S., Ahmad, S., Hawkes, D., Landau, D. (2008). ASSESSMENT OF 2 NOVEL RESPIRATORY SIGNALS FOR USE IN THE DELIVERY OF GATED / TRACKED RADIOTHERAPY FOR NON-SMALL CELL LUNG CANCER.
Figl, M., Rueckert, D., Hawkes, D., Casula, R., Hu, M., Pedro, O., ...Edwards, P. (2008). Augmented reality image guidance for minimally invasive coronary artery bypass.
Orton, M.R., Collins, D.J., Walker-Samuel, S., d'Arcy, J.A., Hawkes, D.J., Atkinson, D., Leach, M.O. (2008). Bayesian estimation of pharmacokinetic parametersfor DCE-MRI with a robust treatment of enhancement onset time. Physics in Medicine and Biology, 52 (9), 2393-2408. doi:10.1088/0031-9155/52/9/005
Thompson, S.A., Penney, G.P., Hawkes, D.J., Dasgupta, P. (2008). Bone segmentation using a CT based statistical shape model for image guidance in robot assisted prostatectomy.
Greenhalgh, R., Hu, Y., Barratt, D., Tolan, D., Taylor, S.A., Hawkes, D., Halligan, S. (2008). Can Us elastography help characterise anal sphincter pathology?.
Abascal, J.-.F.P.J., Arridge, S.R., Bayford, R.H., Holder, D.S. (2008). Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function. Physiological measurement, 29 (11), 1319-.
Orton, M.R., d'Arcy, J.A., Walker-Samuel, S., Hawkes, D.J., Atkinson, D., Collins, D.J., Leach, M.O. (2008). Computationally efficient vascular input function models for quantitative kinetic modelling using DCE-MRI. Physics in Medicine and Biology, 53 (5), 1225-1239. doi:10.1088/0031-9155/53/5/005
Orton, M.R., d'Arcy, J.A., Walker-Samuel, S., Hawkes, D.J., Atkinson, D., Collins, D.J., Leach, M.O. (2008). Computationally efficient vascular input function models for quantitative kinetic modelling using DCE-MRI.. Physics in medicine and biology, 53 (5), 1225-1239. doi:10.1088/0031-9155/53/5/005
Mang, A., Schnabel, J.A., Crum, W.R., Modat, M., Camara-Rey, O., Palm, C., ...Buzug, T.M. (2008). Consistency of parametric registration in serial MRI studies of brain tumor progression. International Journal of Computer Assisted Radiology and Surgery, 3 201---211.
Chandler, A.G., Pinder, R.J., Netsch, T., Schnabel, J.A., Hawkes, D.J., Hill, D.L.G., Razavi, R. (2008). Correction of misaligned slices in multi-slice cardiovascular magnetic resonance using slice-to-volume registration. Journal of Cardiovascular Magnetic Resonance, 10 doi:10.1186/1532-429X-10-13
Orton, M.R., Collins, D.J., Hawkes, D.J., Atkinson, D., Leach, M.O. (2008). Effect of Image Acquisition Protocol on Vascular Parameter Estimates from DCE-MRI Liver Data.
Waechter, I., Bredno, J., Hermans, R., Barratt, D., Weese, J., Hawkes, D. (2008). Evaluation of model-based blood flow quantification from rotational angiography.
Waechter, I., Bredno, J., Hermans, R., Weese, J., Barratt, D.C., Hawkes, D.J. (2008). Evaluation of model-based blood flow quantification from rotational angiography.
Miyazaki, K., Collins, D.J., Koh, D.-.M., Atkinson, D., Hawkes, D.J., Leach, M.O. (2008). Evaluation of quantitative dynamic contrast enhanced pharmacokinetic parameters with and without postprocessing.
Rhode, K., Ma, Y., Chandrasena, A., King, A., Gao, G., Chinchapatnam, P., ...Gill, J. (2008). Evaluation of the use of multimodality skin markers for the registration of pre-procedure cardiac MR images and intra-procedure x-ray fluoroscopy images for image guided cardiac electrophysiology procedures.
Draganski, B., Kherif, F., Kloppel, S., Cook, P.A., Alexander, D.C., Parker, G.J., ...Frackowiak, R.S. (2008). Evidence for segregated and integrative connectivity patterns in the human Basal Ganglia. Journal of Neuroscience, 28 (28), 7143-7152. doi:10.1523/JNEUROSCI.1486-08.2008
Seunarine, K.K., Nedjati-Gilani, S., Hall, M.G., Cook, P.A., Alexander, D.C. (2008). Exploiting the fibre-orientation distribution for probabilistic tractography.
Palm, C., Penney, G.P., Crum, W.R., Schnabel, J.A., Pietrzyk, U., Hawkes, D.J. (2008). Fusion of rat brain histology and MRI using weighted multi-image mutual information.
Tarvainen, T., Vauhkonen, M., Arridge, S.R. (2008). Gauss-Newton reconstruction method for optical tomography using the finite-element solution of the radiative transfer equation. Journal of Quantitative Spectroscopy and Radiative Transfer, 109 (17-18), 2767-2778. doi:10.1016/j.jqsrt.2008.08.006
White, M.J., Atkinson, D., Charles-Edwards, L., Coolens, C., Hawkins, M., Miyazaki, K., ...Hawkes, D.J. (2008). Image Deformation Recovery using Overlapping Partial Samples (iDROPS): model-based respiratory artefact correction in freebreathing.
White, M.J., Atkinson, D., Charles-Edwards, L., Coolens, C., Hawkins, M., Miyazaki, K., ...Hawkes, D.J. (2008). Image Deformation Recovery using Overlapping Partial Samples (iDROPS): model-based respiratory artefact correction in free-breathing liver MRI.
White, M.J., Atkinson, D., Charles-Edwards, L., Coolens, C., Hawkins, M., Miyazaki, K., ...Hawkes, D.J. (2008). Image Deformation Recovery using Overlapping Partial Samples (iDROPS): model-based respiratory artefact correction in free-breathing liver MRI.
Hu, M.X. (2008). Image Guidance for Robotic Minimally Invasive Coronary Artery Bypass.
Figl, M., Rueckert, D., Hawkes, D., Casula, R., Hu, M., Pedro, O., ...Edwards, P. (2008). Image guidance for robotic minimally invasive coronary artery bypass.
Thompson, S., Penney, G., Dasguipa, P., Hawkes, D. (2008). Image guidance in robot assisted radical prostatectomy. EUROPEAN UROLOGY SUPPLEMENTS, 7 (3), 104. doi:10.1016/S1569-9056(08)60134-7
Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Symms, M.R., Boulby, P.A., Barker, G.J., ...Duncan, J.S. (2008). Imaging language pathways predicts postoperative naming deficits. Journal of Neurology, Neurosurgery and Psychiatry, 79 (3), 327-330. doi:10.1136/jnnp.2007.126078
Melbourne, A., Atkinson, D., Hawkes, D.J. (2008). Influence of Organ Motion and Contrast Enhancement on Successful Registration.
Barratt, D.C., Chan, C.S.K., Edwards, P.J., Penney, G.P., Slomczykowksy, M., Carter, T.J., Hawkes, D.J. (2008). Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging. Medical Image Analysis, 12 (3), 358-374. doi:10.1016/j.media.2007.12.006
Silberberg, Y.R., Pelling, A.E., Yakubov, G.E., Crum, W.R., Hawkes, D.J., Horton M, A. (2008). Mitochondrial displacements in response to nanomechanical forces. Journal of Molecular Recognition, 21 (1), 30-36. doi:10.1002/jmr.868
Waechter, I., Bredno, J., Hermans, R., Weese, J., Barratt, D.C., Hawkes, D.J. (2008). Model-based blood flow quantification from rotational angiography.. MEDICAL IMAGE ANALYSIS, 12 (5), 586-602. doi:10.1016/j.media.2008.06.003
Chinchapatnam, P., Rhode, K.S., Ginks, M., Rinaldi, C.A., Lambiase, P., Razavi, R., ...Sermesant, M. (2008). Model-based imaging of cardiac apparent conductivity and local conduction velocity for diagnosis and planning of therapy.. IEEE TRANSACTIONS ON MEDICAL IMAGING, 27 (11), 1631-1642. doi:10.1109/TMI.2008.2004644
Chinchapatnam, P., Rhode, K.S., Ginks, M., Rinaldi, C.A., Lambiase, P., Razavi, R., ...Sermesant, M. (2008). Model-based imaging of cardiac apparent conductivity and local conduction velocity for diagnosis and planning of therapy. IEEE Trans Med Imaging.. IEEE Transactions on Medical Imaging, 27 (11), 1631-1642.
Bai, Y., Alexander, D.C. (2008). Model-Based Registration to Correct for Motion between Acquisitions in Diffusion MR Imaging.
Taylor, Z.A., Comas, O., Cheng, M., Passenger, J., Hawkes, D.J., Atkinson, D., Ourselin, S. (2008). Modelling anisotropic viscoelasticity for real-time soft tissue simulation.
Hu, Y., Morgan, D., Ahmed, H.U., Pendse, D., Sahu, M., Allen, C., ...Barratt, D. (2008). Modelling prostate gland motion for image-guided interventions.
Hu, Y., Morgan, D., Ahmed, H.U., Pendsé, D., Sahu, M., Allen, C., ...Barratt, D.C. (2008). Modelling Prostate Gland Motion for Image-Guided Interventions..
Carter, T., Tanner, C., Beechey-Newman, N., Barratt, D., Hawkes, D. (2008). MR navigated breast surgery: Method and initial clinical experience.
Carter, T.J., Tanner, C., Barratt, D.C., Beechey-Newman, N., Hawkes, D.J. (2008). MR Navigated Breast Surgery: Method and Initial Clinical Experience.
Arridge, S.R., Panagiotou, C., Schweiger, M., Kolehmainen, V. (2008). Multimodal Diffuse Optical Tomography : Theory. In Azar, F.S., Intes, X. (Eds.), Translational multimodality optical imaging. (pp. 101-124). Artech.
Svenmarker, P., Axelsson, J., Schweiger, M., Zacharopoulos, A., Arridge, S.R., Andersson-Engels, S. (2008). Multispectral fluorescence enhanced difiuse optical tomography evaluated with weight matrix free algorithm.
Hawkes, D., Barratt, D., Carter, T., McClelland, J., Crum, B. (2008). Nonrigid registration. In Image-Guided Interventions: Technology and Applications. (pp. 193-218). .
Melbourne, A., Hawkes, D.J., Atkinson, D. (2008). Non-Rigid Registration of Diffusion Weighted MRI using Progressive Principal Component Registration.
Kashani, R., Hub, M., Balter, J.M., Kessler, M.L., Dong, L., Zhang, L., ...Schnabel, J.A. (2008). Objective assessment of deformable image registration in radiotherapy: A multi-institution study. MEDICAL PHYSICS, 35 (12), 5944-5953. doi:10.1118/1.3013563
Arridge, S.R., Dorn, O., Kolehmainen, V., Schweiger, M., Zacharopoulos, A. (2008). Parameter and structure reconstruction in optical tomography.
Cox, B.T., Arridge, S.R., Beard, P.C. (2008). Photoacoustic tomography using reverberant field data from a single detector.
Cox, B.T., Arridge, S.R., Beard, P.C. (2008). Photoacoustic tomography using reverberant field data from a single detector.
Colgan, R., McClelland, J., McQuaid, D., Evans, P.M., Hawkes, D., Brock, J., ...Webb, S. (2008). Planning lung radiotherapy using 4D CT data and a motion model. PHYSICS IN MEDICINE AND BIOLOGY, 53 (20), 5815-5830. doi:10.1088/0031-9155/53/20/017
Orton, M.R., d'Arcy, J.A., Collins, D.J., Atkinson, D., Hawkes, D.J., Leach, M.O. (2008). Portal Delay Estimation from DCE-MRI Liver Tissue Data: Feasibility and Effect on Vascular Parameter Estimates.
Bassi, A., D'Andrea, C., Valentini, G., Cubeddu, R., Arridge, S.R. (2008). propagation of spatial information in turbid media. Optics Letters, 33 (23), 2836-2838.
Waechter, I., Barratt, D.C., Hawkes, D.J., Bredno, J., Weese, J. (2008). Quantifying blood flow division at bifurcations from rotational angiography.
Punwani, S., Robinson, C., Hawkes, D., Taylor, S.A., Halligan, S. (2008). Quantitative assessment of colonic movement between prone and supine patient positions during CTC.
Cercignani, M., Alexander, D., Samson, R., Symms, M., BARKER, G. (2008). Quantitative MT Measurement – is 3T the Solution or the Problem?.
Arridge, S.R., Kolehmainen, V., Schweiger, M. (2008). Reconstruction and Regularisation in Optical Tomography.
Zacharopoulos, A., Dorn, O., Arridge, S.R., Kolehmainen, V., Sikora, J. (2008). Reconstruction of simple geometric objects in 3D optical tomography using an adjoint technique and a boundary element method.
Nedjati-Gilani, S., Parker, G.J., Alexander, D.C. (2008). Regularized Super-Resolution for Diffusion MRI.
Nedjati-Gilani, S., Parker, G.J., Alexander, D.C. (2008). Regularized Super-Resolution for Diffusion MRI.
McClelland, J., Gao, G., Tarte, S., Blackall, J., Hughes, S., Ahmad, S., ...Hawkes, D. (2008). Removing Artifacts From 4DCT Volumes Acquired in Cine Mode Using B-Spline Non-Rigid Registrations.
Cahill, N.D., Schnabel, J.A., Noble, J.A., Hawkes, D.J. (2008). Revisiting Overlap Invariance in Medical Image Alignment.
Zhuang, X., Hawkes, D.J., Crum, W.R., Boubertakh, R., Uribe, S., Atkinson, D., Batchelor, P. (2008). Robust registration between cardiac MRI images and atlas for segmentation propagation.
Zhuang, X., Hawkes, D.J., Crum, W.R., Boubertakh, R., Uribe, S., Atkinson, D., ...Hill, D.L.G. (2008). Robust registration between cardiac MRI images and atlas for segmentation propagation.
Enfield, L.C., Gibson, A.P., Everdell, N.L., Hebden, J.C., Arridge, S.R., Sharma, A., ...Keshtger, M. (2008). Sensitivity and Specificity of 3-D Optical Mammography.
Cox, B.T., Arridge, S.R., Beard, P.C. (2008). Simultaneous estimation of chromophore concentration and scattering distributions from multiwavelength photoacoustic images.
Cox, B.T., Arridge, S.R., Beard, P.C. (2008). Simultaneous Estimation of Chromophore Concentration and scattering distributions from multiwavelength photoacoustic images.
Shepherd, T., Alexander, D.C. (2008). Superviserd Methods for Perfect Segmentation in Medical Images.
Bassi, A., D'Andrea, C., Valentini, G., Cubeddu, R., Arridge, S. (2008). Temporal propagation of spatial information in turbid media. OPTICS LETTERS, 33 (23), 2836-2838. doi:10.1364/OL.33.002836
Batchelor, P.G., Alexander, D.C. (2008). The Influence of Microscopic Shape Invariants in Diffusion MRI and on Time Correlations.
McGinty, J., Tahir, K.B., Soloviev, V.Y., Laine, R., Sardini, A., Talbot, C.B., ...Hajnal, J.V. (2008). Time-Domain Fluorescence Lifetime Tomography.
Yogarajah, M., Yogarajah, M., Focke, N., Cercignani, M., Acheson, J., Bonelli, S.B., ...Koepp, M. (2008). TRACING MEYER'S LOOP: TEMPORAL LOBE RESECTION, VISUAL FIELD DEFICITS, AND TRACTOGRAPHY.
Silberberg, Y.R., Pelling, A.E., Yakubov, G.E., Crum, W.R., Hawkes, D.J., Horton, M.A. (2008). Tracking displacements of intracellular organelles in response to nanomechanical forces.
Yogarajah, M., Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Thompson, P.J., Symms, M.R., ...Koepp, M.J. (2008). Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy. NeuroImage, 40 (4), 1755-1764. doi:10.1016/j.neuroimage.2007.12.046
Ma, Y.L., Rhode, K.S., Gao, G., King, A.P., Chinchapatnam, P., Schaeffter, T., ...Penney, G.P. (2008). Ultrasound calibration using intensity-based image registration: For application in cardiac catheterization procedures.
Thompson, S., Penney, G., Buie, D., Dasgupta, P., Hawkes, D. (2008). Use of a CT statistical deformation model for multi-modal pelvic bone segmentation..
Abascal, J.P.J., Arridge, S.R., Atkinson, D., Horesh, R., Fabrizi, L., De Lucia, M., ...Holder, D.S. (2008). Use of anisotropic modelling in electrical impedance tomography; description of method and preliminary assessment of utility in imaging brain function in the adult human head. Neuroimage, 43 (2), 258-268.
Waechter, I., Bredno, J., Weese, J., Barratt, D.C., Hawkes, D.J. (2008). Using flow information to support 3D vessel reconstruction from rotational angiography.. MEDICAL PHYSICS, 35 (7), 3302-3316. doi:10.1118/1.2938729
Waechter, I., Bredno, J., Weese, J., Barratt, D.C., Hawkes, D.J. (2008). Using flow information to support 3D vessel reconstruction from rotational angiography.. Medical physics, 35 (7Part1), 3302-3316. doi:10.1118/1.2938729
Tarvainen, T., Vauhkonen, M., Kolehmainen, V., Kaipio, J.P., Arridge, S.R. (2008). Utilizing the radiative transfer equation in optical tomography.
Tarvainen, T., Vauhkonen, M., Kolehmainen, V., Kaipio, J.P., Arridge, S.R. (2008). Utilizing the radiative transfer equation in optical tomography.
Tarvainen, T., Vauhkonen, M., Kolehmainen, V., Kaipio, J.P., Arridge, S.R. (2008). Utilizing the radiative transfer equation in optical tomography. PIERS Online, 4 (6), 655-660. doi:10.2529/PIERS071219142458
Gao, G., Tarte, S., King, A., Ma, Y., Chinchapatnam, P., Schaeffter, T., ...Rhode, K. (2008). Validation of the use of photogrammetry to register preprocedure MR images to intra-procedure patient position for image-guided cardiac catheterization procedures - art. no. 69181Q.
Kloppel, S., Draganski, B., Golding, C.V., Chu, C., Nagy, Z., Cook, P.A., ...Parker, G.J. (2008). White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington's disease. Brain, 131 (1), 196-204. doi:10.1093/brain/awm275

2007

Nedjati-Gilani, S., Parker, G.J., Hall, M.G., Alexander, D.C. (2007). .
Hu, M.X. (2007). 3D Reconstruction of Internal Organ Surfaces for Minimal Invasive Surgery.
Hu, M., Penney, G., Edwards, P., Figl, M., Hawkes, D. (2007). 3D reconstruction of internal organ surfaces for minimal invasive surgery.
Nagy, Z., Weiskopf, N., Alexander, D.C., Deichmann, R. (2007). A method for improving the performance of gradient systems for diffusion-weighted MRI. Magnetic Resonance in Medicine, 58 (4), 763-768. doi:10.1002/mrm.21379
Hipwell, J.H., Tanner, C., Crum, W.R., Schnabel, J.A., Hawkes, D.J. (2007). A new validation method for validation of x-ray mammogram registration algorithms using a projection model of breast x-ray compression. IEEE Transactions on Medical Imaging, 26 (7), 1190-1200.
Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Symms, M.R., Wheeler-Kingshott, C.A.M., Boulby, P.A., ...Duncan, J.S. (2007). Abnormalities of language networks in temporal lobe epilepsy.
Powell, H.W., Parker, G.J.M., Alexander, D.C., Symms, M.R., Boulby, P.A., Wheeler-Kingshott, C.A.M., ...Duncan, J.S. (2007). Abnormalities of language networks in temporal lobe epilepsy. NeuroImage, 36 (1), 209-221. doi:10.1016/j.neuroimage.2007.02.028
Douiri, A., Schweiger, M., Riley, J., Arridge, S.R. (2007). Anisotropic diffusion regularization methods for diffuse optical tomography using edge prior information.
Douiri, A., Schweiger, M., Riley, J.A.A.S. (2007). Anisotropic diffusion regularization methods for diffuse optical tomography using edge prior information. Measurement Science & Technology, 18 (1), 87-95. doi:10.1088/0957-0233/18/1/011
Chinchapatnam, P., Rhode, K.S., King, A.P., Gao, G., Ma, Y., Schaeffter, T., ...Arridge, S.R. (2007). Anisotropic wave propagation and apparent conductivity estimation in a fast electrophysiological model: Application to XMR interventional imaging.
Chinchapatnam, P., Rhode, K.S., King, A.P., Gao, G., Ma, Y., Schaeffter, T., ...Arridge, S.R. (2007). Anisotropic wave propagation and apparent conductivity estimation in a fast electrophysiological model: Application to XMR interventional imaging.
Chinchapatnam, P.P., Rhode, K.S., King, A., Gao, G., Ma, Y., Schaeffter, T., ...Arridge, S. (2007). Anisotropic wave propagation and apparent conductivity estimation in a fast electrophysiological model: Application to XMR interventional imaging.
Chinchapatnam, P.P., Rhode, K.S., King, A., Gao, G., Ma, Y., Schaeffter, T., ...Arridge, S. (2007). Anisotropic wave propagation and apparent conductivity estimation in a fast electrophysiological model: Application to XMR interventional imaging.
Schulz, R.B., Schweiger, M., D'Andrea, C., Valentini, G., Peter, J. (2007). Applying time-dependent data for fluorescence tomography.
Schulz, R.B., Schweiger, M., D'Andrea, C., Valentini, G., Peter, J., Cubeddu, R., ...Semmler, W. (2007). Applying time-dependent data for fluorescence tomography.
Yogarajah, M., Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Symms, M.R., Boulby, P., ...Duncan, J.S. (2007). Atrophy of medial temporal lobe connections in unilateral temporal lobe epilepsy: A tractography based study.
Alexander, D.C. (2007). Axon radius measurements in vivo from diffusion MRI: a feasibility study.
Alexander, D.C. (2007). Axon radius measurements in vivo from diffusion MRI: a feasibility study.
Sharma, A., Enfield, L., Gibson, A.P., Everdell, N.L., Schweiger, M., Arridge, S., ...Sainsbury, R.S. (2007). Breast optical tomography: sensitivities and specificities for the detection of cancer..
Senanayake, C.R., Alexander, D.C. (2007). Colour transfer by feature based histogram registration.
Melbourne, A., Atkinson, D., White, M.J., Hawkes, D.J., Collins, D., Leach, M. (2007). Contrast-enhancement simulation using principal components for registration of Dynamic Contrast-Enhanced MRI.
Miyazaki, K., d'Arcy, J.A., Atkinson, D., Hawkes, D., Koh, D.-.M., Leach, M.O., Collins, D.J. (2007). Correcting Artifacts in High Temporal- and Spatial-Resolution Dynamic Abdominal Studies Using UNFOLD: A Potential Tool for Improving Perfusion Quantification of DCE-MR Investigations.
Hall, M.G., Alexander, D.C. (2007). Covalidation of a Monte-Carlo and an analytical model of diffusion for synthetic diffusion-weighted MR data.
Prince, S., Arridge, S. (2007). Estimating spatial and temporal factors in optical diffusion tomography.
Seunarine, K.K., Cook, P.A., Hall, M.G., Embleton K, P., G J, A., D, C. (2007). Exploiting Peak anisotropy for tracking through complex structures.
Seunarine, K.K., Cook, P.A., Hall, M.G., Embleton, K.V., Parker, G.J.M., Alexander, D.C. (2007). Exploiting peak anisotropy for tracking through complex structures.
Seunarine, K.K., Cook, P.A., Hall, M.G., Embleton, K.V., Parker, G.J.M., Alexander, D.C. (2007). Exploiting peak anisotropy for tracking through fanning structures.
Cahill, N.D., Noble, J.A., Hawkes, D.J., Ray, L.A. (2007). Fast fluid registration with Dirichlet boundary conditions: A transform-based approach.
Soloviev, V.Y., Tahir, K.B., McGinty, J., Elson, D.S., Neil, M.A.A., French, P.M.W., Arridge, S.R. (2007). Fluorescence lifetime imaging by using time gated data acquisition.. Applied Optics, 46 (30), 7384-7391. doi:10.1364/AO.46.007384
Soloviev, V.Y., Tahir, K.B., McGinty, J., Elson, D.S., Neil, M., Sardinia, A., ...French, P.M.W. (2007). Fluorescence lifetime imaging through turbid media reconstructed in the Fourier domain using time-gated imaging data.
Soloviev, V.Y., Tahir, K.B., McGinty, J., Elson, D.S., Nel, M.A.A., Sardini, A., ...French, P.M.W. (2007). Fluorescence lifetime imaging through turbid media reconstructed in the Fourier domain using time-gated imaging data..
Soloviev, V.Y., McGinty, J., Tahir, K.B., Neil, M.A.A., Sardini, A., Hajnal, J.V., ...French, P.M.W. (2007). Fluorescence lifetime tomography of live cells expressing enhanced green fluorescent protein embedded in a scattering medium exhibiting background autofluorescence.. Optics Letters, 32 (14), 2034-2036. doi:10.1364/OL.32.002034
Cahill, N.D., Noble, J.A., Hawkes, D.J. (2007). Fourier methods for nonparametric image registration.
Cox, B.T., Arridge, S.R., Beard, P.C. (2007). Gradient-based quantitative photoacoustic image reconstruction for molecular imaging.
Cox, B.T., S R Arridge, B., P, C. (2007). Gradient-Based Quantitative Photoacoustic Image Reconstruction for Molecular Imaging.
Alexander, D.C., Jiang, T., Westin, C.F. (2007). Guest editorial special issue on computational diffusion MRI. IEEE Transactions on Medical Imaging, 26 (11), 1425-1426. doi:10.1109/TMI.2007.909944
Schweiger, M., Nissila, I., Boas, D.A., Arridge, S.R. (2007). Image reconstruction in optical tomography in the presence of coupling errors. APPLIED OPTICS, 46 (14), 2743-2756. doi:10.1364/AO.46.002743
Mang, A., Camara, O., Caseiras, G.B., Crum, W.R., Schnabel, J.A., Buzug, T.M., ...Hawkes, D.J. (2007). Image registration of structural and physiological MR images of abnormal anatomy.
Pourabdollah-Nejad, S., Bagher-Ebadian, H., Jiang, Q., Noll, D.C., Alexander, D.C., Ewing, J.R., ...Chopp, M. (2007). Information extraction from ischemic stroke MR images using independent component analysis technique.
Cox, B.T., Kara, S., Arridge, S.R., Beard, P.C. (2007). k-space propagation models for acoustically heterogeneous media: application to biomedical photoacoustics. Journal of the Acoustical Society of America, 121 (6), 3453-3464. doi:10.1121/1.2717409
Horesh, L., Schweiger, M., Arridge, S.R., Holder, D.S. (2007). Large-Scale Non-Linear 3D Reconstruction Algorithms for Electrical Impedance Tomography of the Human Head.
Elaloufi, R., Arridge, S., Pierrat, R., Carminati, R. (2007). Light propagation in multilayered scattering media beyond the diffusive regime. APPLIED OPTICS, 46 (13), 2528-2539. doi:10.1364/AO.46.002528
Alexander, D.C., Jones, D.K. (2007). Limits on measuring axon diameters in vivo using diffusion MRI.
Alexander, D.C., Hall, M.G. (2007). Making the most of synthetic data: modelling vs simulation.
Crum, W.R., Camara, O., Hawkes, D.J. (2007). Methods for inverting dense displacement fields: Evaluation in brain image registration.
Crum, W.R., Camara, O., Hawkes, D.J. (2007). Methods for inverting dense displacement fields: evaluation in brain image registration.. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2007, PT 1, PROCEEDINGS, 4791 900-+.
Mang, A., Crum, W.R., Camara, O., Schnabel, J.A., Caseiras, G.B., Buzug, T.M., ...Hawkes, D.J. (2007). Modelling tumour growth patterns with non-rigid image registration.
Hawkes, D.J., Penney, G.P., Atkinson, D., Barratt, D., Blackall, J., Carter, T., ...S, W. (2007). MOTION AND BIOMECHANICAL MODELS FOR IMAGE GUIDED INTERVENTIONS.
Blackall, J., McClelland, J., Tarte, S., Miguel, M., Uribe, S., Schaeffter, T., Hawkes, D. (2007). MR-based 4d models of respiratory motion variability for use in adaptive RT of the lung.
McClelland, J., Blackall, J., Tarte, S., Hughes, S., Hawkes, D. (2007). Non-rigid registration based respiratory motion models of the lung using two parameters.
Horesh, L., Bollhofer, M., Schweiger, M., Arridge, S.R., Holder, D.S. (2007). Novel Large-Scale 3D Electrical Impedance Tomography Modeling of the Human Head.
Kashani, R., Baiter, J., Kessler, M., Hub, M., Dong, L., Zhang, L., ...Schnabel, J. (2007). Objective assessment of deformable image registration in radiotherapy - a multi-institution study.
Cook, P.A., Boulby, P.A., Symms, M.R., Alexander, D.C. (2007). Optimal acquisition orders of diffusion-weighted MRI measurements. Journal of Magnetic Resonance Imaging, 25 (5), 1051-1058.
Cox, B.T., Arridge, S.R., Beard, P.C. (2007). Photoacoustic tomography with a limited-aperture planar sensor and a reverberant cavity. Inverse Problems, 23 S95-S112. doi:10.1088/0266-5611/23/6/S08
Penney, G.P., Edwards, P.J., Hipwell, J.H., Slomczykowski, M., Revie, I., Hawkes, D.J. (2007). Postoperative calculation of acetabular cup position using 2-D-3-D registration. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 54 (7), 1342-1348. doi:10.1109/TBME.2007.890737
Waechter, I., Bredno, J., Barratt, D., Weese, J., Hawkes, D. (2007). Quantification of Blood Flow from Rotational Angiography.
Waechter, I., Bredno, J., Barratt, D.C., Weese, J., Hawkes, D.J. (2007). Quantification of blood flow from rotational angiography.
Tanner, C., Schnabel, J.A., Degenhard, A., Hall-Craggs, M.A., Usiskin, S.I., Leach, M.O., ...Hawkes, D.J. (2007). Quantitative evaluation of free-form deformation registration for dynamic contrast-enhanced MR mammography.. Medical Physics, 34 (4), 1221-1233.
Wright, S., Schweiger, M., Arridge, S.R. (2007). Reconstruction in optical tomography using the P-N approximations.
White, M.J., Atkinson, D., Batchelor, P.G., Crum, W.R., Uribe, S., Schaeffter, T., ...Hawkes, D.J. (2007). Reducing Artefacts by Inverting the Effects of Non-Rigid Motion During a Free-Breathing Liver Scan.
White, M.J., Atkinson, D., Crum, W.R., Uribe, S., Schaeffler, T., Collins, D., ...Hawkes, D.J. (2007). Reducing artefacts by inverting the effects of non-rigid motion during a free-breathing liver scan.
Melbourne, A., Atkinson, D., White, M.J., Collins, M., Leach, M., Hawkes, D. (2007). Registration of dynamic contrast-enhanced MRI using a progressive principal component registration (PPCR). Physics in Medicine and Biology, 52 (17), 5147-5156. doi:10.1088/0031-9155/52/17/003
Mang, A., Camara, O., Brasil-Caseiras, G., Crum, W.R., Schnabel, J.A., Buzugl, T.M., ...Hawkes, D.J. (2007). Registration of RCBV and ADC maps with structural and physiological MR images in glioma patients: Study and validation.
Yogarajah, M., Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Symms, M.R., Boulby, P., ...Duncan, J.S. (2007). Reorganisation of medial temporal lobe connections in unilateral temporal lobe epilepsy.
Alexander, D.C., Jiang, T., Westin, C.-.F. (2007). Special issue on computational diffusion MRI. IEEE TRANSACTIONS ON MEDICAL IMAGING, 26 (11), 1425-1427. doi:10.1109/TMI.2007.909944
Nedjati-Gilani, S., Parker, G.J., Alexander, D.C. (2007). Sub-voxel reconstruction of fibre orientations.
Shepherd, T., Alexander, D.C. (2007). Supervised MS Lesion Segmentation.
Corlu, A., Choe, R., Durduran, T., Rosen, M.A., Schweiger, M., Arridge, S.R., ...Yodh, A.G. (2007). Three-dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans. Optics Express, 15 (11), 6696-6716.
Enfield, L.C., Gibson, A.P., Everdell, N.L., Delpy, D.T., Schweiger, M., Arridge, S.R., ...Hebden, J.C. (2007). Three-dimensional time-resolved optical mammography of the uncompressed breast. Applied Optics, 46 (17), 3628-3638.
Webb, S., McClelland, J., Hawkes, D., Binnie, D. (2007). Tracking "Differential Organ Motion" with a "Breathing" multileaf collimator: Magnitude of problem assessed using 4D CT data and a motion-compensation strategy.
McClelland, J.R., Webb, S., McQuaid, D., Binnie, D.M., Hawkes, D.J. (2007). Tracking 'differential organ motion' with a 'breathing' multileaf collimator: magnitude of problem assessed using 4D CT data and a motion-compensation strategy. PHYSICS IN MEDICINE AND BIOLOGY, 52 (16), 4805-4826. doi:10.1088/0031-9155/52/16/007
Yogarajah, M., Powell, R., Parker, G., Alexander, D., Symms, M., Boulby, P., ...Koepp, M. (2007). Tractography of the parahippocampal gyrus and material specific memory impairment in unilateral temporal lobe epilepsy.
Hawkes, D., Nielsen, M. (2007). Untitled. MEDICAL IMAGE ANALYSIS, 11 (5), 415-416. doi:10.1016/j.media.2007.07.003
Melbourne, A., Atkinson, D., White, M.J., Hawkes, D.J., Collins, D., Leach, M. (2007). Using Registration to Quantify the Consistency of Whole Liver Position during Patient Breath-hold in Dynamic Contrast-Enhanced MRI.
Abascal, J.-.F.P.J., Arridge, S.R., Lionheart, W.R.B., Bayford, R.H., Holder, D.S. (2007). Validation of a finite element solution for electrical impedance tomography in an anisotropic medium.
Abascal, J.-.F.P.J., Arridge, S.R., Lionheart, W.R.B., Bayford, R.H., Holder, D.S. (2007). Validation of a finite-element solution for electrical impedance tomography in an anisotropic medium.
Seunarine, K.K., Cook, P.A., Hall, M.G., Embleton, K., Parker, G.J., Alexander, D.C. (2007). Validation of generalised PICo tractography using bootstrap measurements.
Dyrby, T.B., Sogaard, L.V., Parker, G.J.M., Alexander, D.C., Lind, N.M., Baare, W.F.C., ...Paulson, O.B. (2007). Validation of in vitro probabilistic tractography. NeuroImage, 37 (4), 1267-1277. doi:10.1016/j.neuroimage.2007.06.022
Jiang, Q., Alexander, D.C., Ding, G.L., Zhang, Z.G., Pourabdollah, S., Nejad, D., ...Bagherebadian, H. (2007). White matter reorganization after stroke measured by Gaussian DTI, q-ball, and PAS MRI.

2006

Cox, B.T., Arridge, S.R., Kostli, K.P., Beard, P.C. (2006). 2D Quantitative photoacoustic image reconstruction of absorption distributions in scattering media using a simple recursive method. Applied Optics, 45 (8), 1866-1875. doi:10.1364/AO.45.001866
Tanner, C., Carter, T.J., Hawkes, D.J. (2006). 3D Rezoning for Finite Element Modelling of Large Breast Deformations.
Zacharopoulos, A., Arridge, S. (2006). 3D shape reconstruction in Optical Tomography using spherical harmonics and BEM. JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 20 (13), 1827-1836. doi:10.1163/156939306779292165
Zacharopoulos, A., Arridge, S., Dorn, O., Kolehmainen, V., Sikora, J. (2006). 3D shape reconstruction in Optical Tomography using spherical harmonics and BEM.
McClelland, J., Blackall, J., Tarte, S., Chandler, A., Hughes, S., Ahmad, S., ...Hawkes, D. (2006). A Continuous 4D Motion Model from Multiple Respiratory Cycles for use in Lung Radiotherapy. Medical Physics, 33 (9), 3348-3358. doi:10.1118/1.2222079
Carter, T.J., Tanner, C.C., W R, B.-.N., N, H., D, J. (2006). A Framework for Image-Guided Breast Surgery.
Seunarine, K.K., Cook, P.A., Embleton, K.V., Parker, G.J.M., Alexander, D.C. (2006). A general framework for multiple-fibre PICo tractography.
Hipwell, J.H., Tanner, C., Crum, W.R., Hawkes, D.J. (2006). A new validation method for establishing correspondence between pairs of X-ray mammograms. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006 doi:10.1109/CVPRW.2006.143
Tarte, S., McClelland, J., Hughes, S., Blackall, J., Landau, D., Hawkes, D. (2006). A non-contact method for the acquisition of breathing signals that enable distinction between abdominal and thoracic breathing.
Hall, M.G., Alexander, D.C. (2006). A simulation framework for diffusion MRI.
Shepherd, T., Alexander, D.C. (2006). A support vector machine for 3D texture-based classification of bone in CT images.
Alexander, D.C. (2006). An introduction to computational diffusion MRI: the diffusion tensor and beyond. In Weichert, J., Hagen, H. (Eds.), Visualization and image processing of tensor fields. (pp. 83-106). Berlin / Heidelberg: Springer.
Gibson, A.P., Everdell, N.L., Hebden, J.C., Austin, T., Wong, F., Meek, J.H., ...Arridge, S.R. (2006). Anatomically constrained optical tomography of the neonatal brain.
Kolehmainen, V., Arridge, S.R., Kaipio, J.P., Schweiger, M., Somersalo, E., Tarvainen, T., Vauhkonen, M. (2006). Approximation errors and model reduction in optical tomography.
Kolehmainen, V., Arridge, S.R., Kaipio, J.P., Schweiger, M., Somersalo, E., Tarvainen, T., Vauhkonen, M. (2006). Approximation errors and model reduction in optical tomography.
Arridge, S.R., Kaipio, J.P., Kolehmainen, V., Schweiger, M., Somersalo, E., Tarvainen, T., Vauhkonen, M. (2006). Approximation errors and model reduction with an application in optical diffusion tomography. Inverse Problems, 22 175-195. doi:10.1088/0266-5611/22/1/010
Haroon, H.A., Lambon-Ralph, M.A., Watson, Y., Ciccarelli, O., Wheeler-Kingshott, C.A.M., Alexander, D.C., ...Parker, G.J.M. (2006). Auditory-language networks involving the superior temporal gyrus: patterns of connection and lateralization.
Penney, G.P., Barratt, B.C., Chan, C.S.K., Slomczykowski, M., Carter, T.J., Edwards, P.J., Hawkes, D.J. (2006). Cadaver Validation of intensity-based ultrasound to CT registration. Medical Image Analysis, 10 (3), 385-395. doi:10.1016/j.media.2006.01.003
McClelland, J., Hughes, S., Ahmad, S., Chandler, A., Blackall, J., Tarte, S., ...Hawkes, D. (2006). Comparing breathhold and free breathing CT derived motion models for predicting respiratory motion of lung cancer and lymph nodes.
Ahmad, S., Tarte, S., Withers, D., Hawkes, D., Blackall, J., Landau, D., ...Adams, M. (2006). Comparison of patient-specific and generic internal target volume (ITV) margins for planning radical radiotherapy in lymph-node positive non-small cell lung cancer (NSCLC).
BAI, Y., Alexander, D. (2006). Correcting for Motion between Acquisitions in Diffusion MR Imaging.
Chandler, A.G., Pinder, R.J., Netsch, T., Schnabel, J.A., Hawkes, D.J., Hill, D.L.G., ......I.E.E.E. (2006). Correction of misaligned slices in multi-slice MR cardiac examinations by using slice-to-volume registration.
Powell, R., Parker, G., Alexander, D., Symms, M., Barker, G., Koepp, M., Duncan, J. (2006). Diffuse language pathway abnormalities in temporal lobe epilepsy.
Sikora, J., Zacharopoulos, A., Douiri, A., Schweiger, M., Horesh, L., Arridge, S.R., Ripoll, J. (2006). Diffuse photon propagation in multilayered Geometries. Physics in Medicine and Biology, 51 497-516.
Gee, J.C., Alexander, D.C. (2006). Diffusion tensor image registration. In Weichert, J., Hagen, H. (Eds.), Visualization and processing of tensor fields. (pp. 327-344). Springer.
Tanner, C., Khazen, M., Kessar, P., Leach, M.O., Hawkes, D.J. (2006). Does Registration Improve the Performance of a Computer Aided Diagnosis System for Dynamic Contrast-Enhanced MR Mammography?.
Diamond, S.G., Huppert, T.J., Kolehmainen, V., Franceschini, M.A., Kaipio, J.P., Arridge, S.R., Boas, D.A. (2006). Dynamic physiological modeling for functional diffuse optical tomography. NEUROIMAGE, 30 (1), 88-101. doi:10.1016/j.neuroimage.2005.09.016
Tanner, C., Schnabel, J.A., Leach, M.O., Hose, D.R., Hill, D.L.G., Hawkes, D.J. (2006). Factors Influencing the Accuracy of Biomechanical Breast Models.. Medical Physics, 33 (6), 1758-1769.
Hall, M.G., Alexander, D.C. (2006). Finite pulse widths improve fibre orientation estimates in diffusion tensor MRI.
Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Symms, M.R., Boulby, P.A., Wheeler-Kingshott, C.A.M., ...Duncan, J.S. (2006). Hemispheric asymmetries in language-related pathways: A combined functional MPI and tractography study. NeuroImage, 32 (1), 388-399.
Richardson, C.E., Enfield, L., Gibson, A.P., Everdell, N.L., Hebden, J.C., Arridge, S.R., ...Douek, M. (2006). Imaging breast cancer non-invasively using three-dimensional optical tomography.
Pineda, A.R., Schweiger, M., Arridge, S.R., Barrett, H.H. (2006). Information content of data types in time-domain optical tomography. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 23 (12), 2989-2996. doi:10.1364/JOSAA.23.002989
Seunarine, K.K., Alexander, D.C. (2006). Linear Persistent Angular Structure MRI and non-linear Spherical Deconvolution for Diffusion MRI.
Nedjati-Gilani, S., Parker, G.J.M., Alexander, D.C. (2006). Mapping the number of fibre orientations per voxel in diffusion MRI.
Tarvainen, T., Vauhkonen, M., Kolehmainen, V., Kaipio, J.P., Heiskala, J., Arridge, S.R. (2006). Modeling Photon Migration in Tissues with the Coupled Radiative Transfer Equation and Diffusion Approximation.
Leung, T.S., Tachtsidis, I., Elwell, C.E., Delpy, D.T., Tisdall, M., Smith, M., Arridge, S. (2006). Modelling of indocyanine green bolus with a finite element model of the adult human head and the Fick principle.
Leung, T.S., Tachtsidis, I., Elwell, C.E., Delpy, D.T., Tisdall, M., Smith, M., Arridge, S.R. (2006). Modelling of indocyanine green boluses with a finite element model of the adult human head and the Fick principle.
Bai, Y., Cook, P.A., Zhang, H., Alexander, D.C. (2006). Motion Correction in Diffusion Magnetic Resonance.
Blackall, J., Ahmad, S., Miquel, M., McClelland, J., Landau, D., Hawkes, D. (2006). MRI-Based Measurements of Respiratory Motion Variability and Assessment of Imaging Strategies for Radiotherapy Planning. Physics in Medicine and Biology, 51 (17), 4147-4169.
Newton, J.M., Ward, N.S., Parker, G.J., Deichmann, R., Alexander, D.C., Friston, K.J., Frackowiak, R.S.J. (2006). Non-invasive mapping of corticofugal fibres from multiple motor areas - relevance to stroke recovery.. Brain, 129 (7), 1844-1858.
Richardson, C.E., Enfield, L., Gibson, A.P., Everdell, N.L., Hebden, J.C., Arridge, S.R., ...Douek, M. (2006). Non-invasive optical imaging in patients with breast cancer.
Richardson, C.E., Enfield, L., Gibson, A.P., Everdell, N.L., Hebden, J.C., Arridge, S.R., ...Douek, M. (2006). Non-invasive three dimensional optical mammography.
Papastavrou, Y., Hutton, B., Hawkes, D. (2006). Non-rigid registration of combned PET-CT jhead and neck images to place the information within a common anatomical framework..
Austin, T., Gibson, A.P., Everdell, N.L., Schweiger, M., Arridge, S.R., Meek, J.H., ...Hebden, J.C. (2006). Optical imaging of the neonatal brain.
Cercignani, M., Alexander, D.C. (2006). Optimal acquisition schemes for in vivo quantitative magnetization transfer MRI.. Magnetic Resonance in Medicine, 56 (4), 803-810. doi:10.1002/mrm.21003
Cercignani, M., Alexander, D.C. (2006). Optimal sampling for quantitative magnetization transfer.
White, M.J., Atkinson, D., Collins, D., Leach, M.O., Hawkes, D.J. (2006). Parameterized modelling of liver deformation during free.
Miyazaki, K., Walker-Samual, S., Knowles, B.R., Taylor, N.J., Padhani, A.R., Wallace, T., ...Atkinson, D. (2006). Parametric DCE-MRI HPI Maps - A Qualitative and Quantitative Analysis in Phase I Clinical Trial Patients with Liver Metastases.
Carter, T.J., Tanner, C., Crum, W.R., Hawkes, D.J. (2006). Prone-Supine Breast MR Image Registration for Image-Guided Surgery.
Cox, B.T., Arridge, S.R., Beard, P.C. (2006). Quantitative photoacoustic image reconstruction for molecular imaging.
Cox, B.T., Arridge, S.R., Beard, P.C. (2006). Quantitative photoacoustic image reconstruction for molecular imaging.
Barratt, D.C., Penney, G.P., Slomczykowski, M., Hawkes, D.J. (2006). Recent Developments in Ultrasound-based Bone Registration.
Barratt, D.C., Penney, G.P., Slomczykowski, M., Hawkes, D.J. (2006). Recent Developments in Ultrasound-based Bone Registration.
Schweiger, M., Arridge, S.R., Dorn, O., Zacharopoulos, A., Kolehmainen, V. (2006). Reconstructing absorption and diffusion shape profiles in optical tomography by a level set technique. OPTICS LETTERS, 31 (4), 471-473. doi:10.1364/OL.31.000471
Arridge, S., Dorn, O., Kaipio, J.P., Kolehmainen, V., Schweiger, M., Tarvainen, T., ...Zacharopoulos, A. (2006). Reconstruction of Subdomain Boundaries of Piecewise Constant Coefficients of the Radiative Transport Equation from Optical Tomography Data. Inverse Problems, 22 (6), 2175-2`98.
Barratt, D.C., Penney, G.P., Chan, C.S.K., Slomczykowski, M., Carter, T.J., Edwards, P.J., Hawkes, D.J. (2006). Self-Calibrating 3D-Ultrasound-Based Bone Registration for Minimally Invasive Orthopaedic Surgery. IEEE Transactions on Medical Imaging, 25 (3), 312-323. doi:10.1109/TMI.2005.862736
Zacharopoulos, A., Arridge, S.R., Dorn, O., Kolehmainen, V., Sikora, J. (2006). Three dimensional reconstruction of shape and piecewise constant region values for Optical Tomography using spherical harmonic parameterisation and a Boundary Element Method. Inverse Problems, 22 (5), 1509-1532.
Austin, T., Hebden, J.C., Gibson, A.P., Branco, G., Yusof, R., Arridge, S.R., ...Wyatt, J.S. (2006). Three-dimensional optical imaging of blood volume and oxygenation in the preterm brain. Neuroimage, 31 (4), 1426-1433.
Richardson, C.E., Enfield, L., Gibson, A.P., Everdell, N.L., Hebden, J.C., Arridge, S.R., ...Douek, M. (2006). Three-dimensional optical imaging of the breast.
Enfield, L.C., Gibson, A.P., Everdell, N.L., Delpy, D.T., Hebden, J.C., Arridge, S.R., ...Keshtgar, M.R.S. (2006). Three-dimensional time-resolved optical mammography of the uncompressed breast.
Enfield, L.C., Gibson, A.P., Everdell, N.L., Delpy, D.T., Hebden, J.C., Arridge, S.R., ...Keshtgar, M.R.S. (2006). Three-dimensional time-resolved optical mammography of the uncompressed breast. Optics InfoBase Conference Papers,
Gibson, A.P., Austin, T., Everdell, N.L., Schweiger, M., Arridge, S.R., Meek, J.H., ...Hebden, J.C. (2006). Three-dimensional whole-head optical tomography of passive motor evoked responses in the neonate. NeuroImage, 30 (2), 521-528. doi:10.1016/j.neuroimage.2005.08.059
Cox, B.T., Arridge, S.R., Kostli, K.P., Beard, P.C. (2006). Two-dimensional quantitative photoacoustic image reconstruction of absorption distributions in scattering media by use of a simple iterative method. APPLIED OPTICS, 45 (8), 1866-1875. doi:10.1364/AO.45.001866
Barratt, D.C., Penney, G.P., Slomczykowski, M., Hawkes, D.J. (2006). Ultrasound-based registration for minimally-invasive orthopaedic surgery.
Waechter, I., Bredno, J., Weese, J., Hawkes, D. (2006). Using flow information to support 3D vessel reconstruction from rotational angiography.
Dyrby, T.B., Vejby, S.L., Parker, G.J.M., Alexander, D.C., Lind, N.M., Paulson, O.B., Jelsing, J. (2006). Validation of multi-fibre probabilistic tractography of corticothalamic projections in the Gottingen minipig brain.
Corlu, A., Durduran, T., Choe, R., Lee, K., Schweiger, M., Arridge, S.R., Yodh, A.G. (2006). White light diffuse optical tomography and validation of optimum wavelengths for CW DOT.
Corlu, A., Durduran, T., Choe, R., Lee, K., Schweiger, M., Arridge, S.R., Yodh, A.G. (2006). White light diffuse optical tomography and validation of optimum wavelengths for CW DOT.
Hipwell, J.H., Tanner, C., Crum, W.R., Hawkes, D.J. (2006). X-ray mammogram registration: A novel validation method.

2005

Nedjati-Gilani, S., Cook, P.A., Parker, G.J.M., Alexander, D.C. (2005). .
Gibson, A.P., Austin, T., Everdell, N., Meek, J.H., Wyatt, J.S., Schweiger, M., ...Hebden, J.C. (2005). 3D optical tomography of the neonatal brain.
Gibson, A.P., Austin, T., Everdell, N., Meek, J.H., Wyatt, J.S., Schweiger, M., ...Hebden, J.C. (2005). 3D optical tomography of the neonatal brain. Proceedings of SPIE, 5859 49-55.
McClelland, J., Blackall, J., Hughes, S., Ahmad, S., Landau, D., Hawkes, D. (2005). 4D models of respiratory motion for use in RT planning and their advantages over 4DCT techniques.
MCCLELLAND, J., Chandler, A.G., Blackall, J.M., Ahmad, S., Landau, D., Hawkes, D.J. (2005). 4D Motion Models over the Respiratory Cycle for use in Lung Cancer Radiotherapy Planning.
McLaughlin, R.A., Hipwell, J., Hawkes, D.J., Noble, J.A., Byrne, J.V., Cox, T.C. (2005). A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use. IEEE TRANS MED IMAGING, 24 (278-0062 (Print), 8), 1058-1066.
McLaughlin, R.A., Hipwell, J., Hawkes, D.J., Noble, J.A., Byrne, J.V., Cox, T.C. (2005). A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use. IEEE TRANSACTIONS ON MEDICAL IMAGING, 24 (8), 1058-1066. doi:10.1109/TMI.2005.852067
Douiri, A., Schweiger, M., Riley, J., Arridge, S.R. (2005). Adaptive diffusion regularization method of inverse problem for Diffuse Optical Tomography.
Blackall, J.M., Penney, G.P., King, A.P., Hawkes, D.J. (2005). Alignment of Sparse Freehand 3D Ultrasound with Preoperative Images of the Liver and an Interventional Plan Using Models of Respiratory Motion and Deformation. IEEE Transactions on Medical Imaging, 24 1405-1416.
Blackall, J.M., Penney, G.P., King, A.P., Hawkes, D.J. (2005). Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation. IEEE TRANS MED IMAGING, 24 (11), 1405-1416. doi:10.1109/TMI.2005.856751
Douiri, A., Schweiger, M., Riley, J., Arridge, S.R. (2005). An adaptive diffusion regularization method of inverse problem for Diffuse Optical Tomography.
Douiri, A., Schweiger, M., Riley, J., Arridge, S.R. (2005). An adaptive diffusion regularization method of inverse problem for Diffuse Optical Tomography.
Cook, P.A., Zhang, H., Avants, B.B., Yushkevich, P.A., Alexander, D.C., Gee, J.C. (2005). An automated approach to connectivity-based partitions of brain structures. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. (pp. 164-171). .
Schweiger, M., Camara-Rey, O., Crum, W.R., Lewis, E., Schnabel, J., Arridge, S.R., ...Fox, N. (2005). An inverse problem approach to the estimation of volume change.
Crum, W.R., Tanner, C., Hawkes, D.J. (2005). Anisotropic multi-scale fluid registration: evaluation in magnetic resonance breast imaging. Physics in Medicine and Biology, 50 (21), 5153-5174. doi:10.1088/0031-9155/50/21/014
Carter, T.J., Sermesant, M., Cash, D.M., Barratt, D.C., Tanner, C., Hawkes, D.J. (2005). Application of soft tissue modelling to image-guided surgery. Medical Engineering and Physics, 27 (350-4533 (Print), 10), 893-909.
Penney, G.P., Barratt, D.C., Chan, C.S.K., Slomczykowski, M., Carter, T.J., Edwards, P.J., Hawkes, D.J. (2005). Cadaver validation of intensity-based ultrasound-to-CT registration.
Cook, P.A., Bai, Y., Hall, M.G., Nedjati-Gilani, S., Seunarine, K.K., Alexander, D.C. (2005). Camino: diffusion MRI reconstruction and processing.
Curran, K.M., Alexander, D.C. (2005). Comparison of similarity measures for driving diffusion tensor registration.
Tarvainen, T., Kolehmainen, V., Vauhkonen, M., Vanne, A., Gibson, A.P., Schweiger, M., ...Kaipio, J.P. (2005). Computational calibration method for optical tomography. Applied Optics, 44 (10), 1879-1888.
Hawkes, D., Barratt, D., Blackall, J., Chandler, A., McClelland, J., Penney, G. (2005). Computational models in image guided interventions.. 2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 7246-7249. doi:10.1109/IEMBS.2005.1616183
Tarvainen, T., Vauhkonen, M., Kolehmainen, V., Arridge, S.R., Kaipio, J.P. (2005). Coupled radiative transfer equation and diffusion approximation model for photon migration in turbid medium with low-scattering and non-scattering regions,. Physics in Medicine and Biology, 50 4913-4930.
Choe, R., Corlu, A., Lee, K., Durduran, T., Konecky, S.D., Grosicka-Koptyra, M., ...DeMichele, A. (2005). Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: A case study with comparison to MRI.. Medical Physics, 32 (4), 1128-1139.
Corlu, A., Choe, R., Durduran, T., Lee, K., Schweiger, M., Arridge, S.R., ...Yodh, A.G. (2005). Diffuse optical tomography with spectral constraints and wavelength optimization. Applied Optics, 44 (11), 2082-2093. doi:10.1364/AO.44.002082
Manzke, R., Koken, P., Hawkes, D., Grass, M. (2005). Helical cardiac cone beam CT reconstruction with large area detectors: a simulation study.. Physics in Medicine and Biology, 50 (7), 1547-1568.
Nijmeh, A.D., Goodger, N.M., Hawkes, D., Edwards, P.J., McGurk, M. (2005). Image-guided navigation in oral and maxillofacial surgery.. British Journal of Oral and Maxillofacial Surgery, 43 (4), 294-302. doi:10.1016/j.bjoms.2004.11.018
Austin, T., Hebden, J.C., Gibson, A.P., Yusof, R.M., Arridge, S.R., Meek, J.H., ...Wyatt, J.S. (2005). Imaging 3D changes in blood volume and oxygenation in response to functional activation.
Nissila, I., Noponen, T., Kotilahti, K., Katila, T., Lipiainen, L., Tarvainen, T., ...Arridge, S. (2005). Instrumentation and calibration methods for the multichannel measurement of phase and amplitude in optical tomography. REVIEW OF SCIENTIFIC INSTRUMENTS, 76 (4), doi:10.1063/1.1884193
Panalkis, N., McClelland, J., Chandler, A., Blackall, J., Ahmad, S., Hughes, S., ...Brada, M. (2005). Intrafractional movement of the oesophagus in patients with Non-Small Cell Lung Cancer (NSCLC).
Aylward, S.R., Cleary, K.R., Hawkes, D.J. (2005). Intraoperative image processing for surgical guidance. IEEE TRANS MED IMAGING, 24 (278-0062 (Print), 11), 1401-1404.
Parker, G.J., Luzzi, S., Alexander, D.C., Wheeler-Kingshott, C.A., Ciccarelli, O., Lambon Ralph, M.A. (2005). Lateralization of ventral and dorsal auditory-language pathways in the human brain. NeuroImage, 24 (3), 656-666.
Gibson, A.P., Hebden, J.C., Riley, J., Everdell, N.L., Schweiger, M., Arridge, S.R., Delpy, D.T. (2005). Linear and non-linear reconstruction for optical tomography of phantoms with non-scattering regions. Applied Optics, 44 3925-3936.
Douiri, A., Schweiger, M., Riley, J., Arridge, S.R. (2005). Local diffusion regularisation method for optical tomography reconstruction using robust statistics. Optics Letters, 30 (18), 2439-2441.
Alexander, D.C. (2005). Maximum entropy spherical deconvolution for diffusion MRI.
Elaloufi, R., Arridge, S. (2005). Modelling the influence of interfaces and multiple layers on light propagation in a slab geometry with the Radiative Transport Equation.
Elaloufi, R., Arridge, S. (2005). Modelling the influence of interfaces and multiples layers on light propagation in a slab geometry with the Radiative Transport Equation.
Hebden, J.C., Yates, T.D., Gibson, A., Everdell, N., Arridge, S.R., Chicken, D.W., ...Keshtgar, M.R.S. (2005). Monitoring recovery after laser surgery of the breast with optical tomography: a case study. Applied Optics, 44 (10), 1898-1904.
Alexander, D.C. (2005). Monte-Carlo studies of multiple-fibre reconstruction algorithms for diffusion MRI.
Ahmad, S., McClelland, J., Chandler, A., Blackall, J., Hughes, S., Hawkes, D. (2005). Movement of tumour and mediastinal lymph nodes with respiration in patients with non small cell lung cancer (NSCLC).
Powell, H.W., Parker, G.J., Alexander, D.C., Symms, M.R., Boulby, P.A., Wheeler-Kingshott, C.A., ...Duncan, J.S. (2005). MR tractography predicts visual field defects following temporal lobe resection. Neurology, 65 (4), 596-599.
Powell, H.W.R., Parker, G.J.M., Alexander, D.C., Symms, M.R., Boulby, P.A., Barker, G.J., ...Duncan, J.S. (2005). MR-Tractography predicts visual field defects following temporal lobe resection.
Becker, W., Bergmann, A., Gibson, A.P., Everdell, N., Jennions, D., Schweiger, M., ...Hebden, J.C. (2005). Multi-dimensional time-correlated single photon counting applied to diffuse optical tomography. Proceedings of SPIE, 34-42.
Alexander, D.C. (2005). Multiple fibre reconstruction algorithms for diffusion MRI. Annals of the New York Academy of Sciences, 1046 113-133.
Rhode, K.S., Lambrou, T., Hawkes, D.J., Seifalian, A.M. (2005). Novel approaches to the measurement of arterial blood flow from dynamic digital X-ray images. IEEE TRANS MED IMAGING, 24 (278-0062 (Print), 4), 500-513.
Yates, T.D., Hebden, J.C., Gibson, A.P., Everdell, N.L., Arridge, S.R., Douek, M. (2005). Optical tomography of the breast using a multi-channel time-resolved imager. Physics in Medicine and Biology, 50 2503-2517. doi:10.1088/0031-9155/50/11/005
Cook, P.A., Boulby, P.A., Symms, M.R., Alexander, D.C. (2005). Optimal acquisition order of diffusion-weighted measurements on a sphere.
Cook, P.A., Boulby, P.A., Symms, M.R., Alexander, D.C. (2005). Optimal acquisition order of diffusion-weighted measurements on a sphere.
Alexander, D.C., Barker, G.J. (2005). Optimal imaging parameters for fibre-orientation estimation in diffusion MRI.
Alexander, D.C., Barker, G.J. (2005). Optimal imaging parameters for fibre-orientation estimation in diffusion MRI. NeuroImage, 27 357-367.
Diamond, S.G., Huppert, T.J., Kolehmainen, V., Franceschini, M.A., Kaipio, J.P., Arridge, S.R., Boas, D.A. (2005). Physiological system identification with the Kalman filter in diffuse optical tomography.
Diamond, S.G., Huppert, T.J., Kolehmainen, V., Franceschini, M.A., Kaipio, J.P., Arridge, S.R., Boas, D.A. (2005). Physiological system identification with the Kalman filter in diffuse optical tomography.
Parker, G.J.M., Alexander, D.C. (2005). Probabilistic Anatomical Connectivity Derived from the Microscopic Persistent Angular Structure of Cerebral Tissue.
Parker, G.J.M., Alexander, D.C. (2005). Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue. Philosophical Transactions of the Royal Society B: Biological Sciences, 360 (1457), 893-902. doi:10.1098/rstb.2005.1639
Haroon, H.A., Luzzi, S., Alexander, D.C., Ciccarelli, O., Wheeler-Kingshott, C.A.M., Lambon-Ralph, M.A., Parker, G.J.M. (2005). Probabilistic tractography analysis of superior temporal gyrus connectivity to Wernicke's and Broca's areas.
Cox, B.T., Arridge, S.R., Koestli, K.P., Beard, P.C. (2005). Quantitative photoacoustic imaging: fitting a model of light transport to the initial pressure distribution.
Gibson, A.P., Hebden, J.C., Arridge, S.R. (2005). Recent advances in diffuse optical imaging. Physics in Medicine and Biology, 50 R1-R43. doi:10.1088/0031-9155/50/4/R01
Dierkes, T., Grosenick, D., Moesta, K.T., Möller, M., Schlag, P.M., Rinneberg, H., Arridge, S.R. (2005). Reconstruction of optical properties of phantom and breast lesion in vivo from paraxial scanning data. Physics in Medicine and Biology, 50 2519-2542.
Barratt, D.C., Penney, G.P., Chan, C.S.K., Slomczykowski, M., Carter, T.J., Edwards, P.J., Hawkes, D.J. (2005). Self-calibrating ultrasound-to-CT bone registration.
Wright, S.D., Schweiger, M., Arridge, S. (2005). Solutions to the transport equation using variable order angular basis.
Wright, S.D., Schweiger, M., Arridge, S. (2005). Solutions to the transport equation using variable order angular basis.
Wright, S., Schweiger, M., Arridge, S.R. (2005). Solutions to the transport equation using variable order angular basis.
Ahmad, S., McClelland, J., Chandler, A., Blackall, J., Landau, D., Hawkes, D. (2005). The implementation of 4D CT using a novel respiratory motion modelling technique to aid radiotherapy planning in patients with non-small cell lung cancer.
Austin, T., Gibson, A.P., Everdell, N.L., Herden, J.C., Schweiger, M., Arridge, S.R., ...Wyatt, J.S. (2005). Three dimensional optical imaging of neonatal brain activation.
Yates, T.D., Hebden, J.C., Gibson, A.P., Enfield, L., Everdell, N.L., Arridge, S.R., Delpy, D.T. (2005). Time-resolved optical mammography using a liquid coupled interface. Journal of Biomedical Optics, 10 054011-.
Hawkes, D.J., Barratt, D., Blackall, J.M., Chan, C., Edwards, P.J., Rhode, K., ...Hill, D.L. (2005). Tissue deformation and shape models in image-guided interventions: a discussion paper. Medical Image Analysis, 8 (2), 163-175.
Edwards, P.J., Nijmeh, A.D., McGurk, M., Odell, E., Fenlon, M.R., Marsden, P.K., Hawkes, D.J. (2005). Validation of PET imaging by alignment to histology slices.
(2005). Validation of PET imaging by alignment to histology slices.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 8 (Pt 2), 968-975.
Nedjati-Gilani, S., Cook, P.A., Parker, G.J., Alexander, D.C. (2005). Voxel-Based Classification of White Matter Fibre Complexity in Diffusion MRI.

2004

Alexander, D.C. (2004). A comparison of q-ball and PASMRI on sparse diffusion MRI data.
Coulon, O.P., Alexander, D.C., Arridge, S.R. (2004). A regulatization scheme for coupled direction and magnitude information: application to 3D diffusion tensor magnetic resonance images. Medical image analysis, 8 (1), 27-47. doi:10.1016/j.media.2003.06.002
Coulon, O.P., Alexander, D.C., Arridge, S.R. (2004). A regulatization scheme for coupled direction and magnitude information: application to 3D diffusion tensor magnetic resonance images. Medical image analysis, 8 (1), 27-47. doi:10.1016/j.media.2003.06.002
Zheng, Y.L., Tanner, C., Hill, D.L.G., Hawkes, D.J., White, M.J., Khazen, M., Leach, M.O. (2004). Alignment of dynamic contrast enhanced MR volumes of the breast for a multi-centre trial: an exemplar grid application.
Manzke, R., Grass, M., Hawkes, D. (2004). Artifact analysis and reconstruction improvement in helical cardiac cone beam CT.. IEEE Transactions on Medical Imaging, 23 (9), 1150-1164. doi:10.1109/TMI.2004.830804
Byrne, J.V., Colominas, C., Hipwell, J., Cox, T., Noble, J.A., Penney, G.P., Hawkes, D.J. (2004). Assessment of a technique for 2D-3D registration of cerebral intra-arterial angiography. BR J RADIOL, 77 (007-1285 (Print), 914), 123-128.
Byrne, J.V., Colominas, C., Hipwell, J., Cox, T., Noble, J.A., Penney, G.P., Hawkes, D.J. (2004). Assessment of a technique for 2D-3D registration of cerebral intra-arterial angiography. BRITISH JOURNAL OF RADIOLOGY, 77 (914), 123-128. doi:10.1259/bjr/27339681
Manzke, R., Kohler, T., Nielsen, T., Hawkes, D., Grass, M. (2004). Automatic phase determination for retrospectively gated cardiac CT.. Medical Physics, 31 (12), 3345-3362.
Manzke, R., Grass, M., Nielsen, T., Köhler, T., Hawkes, D. (2004). Automatic phase point determination for cardiac CT imaging.
Chan, C.S.K., Barratt, D.C., Edwards, P.J., Slomczykowski, M., Carter, T.J., Hawkes, D.J. (2004). Cadaver validation of the use of ultrasound for the instantiation of bony anatomy in image-guided orthopaedic surgery.
Tanner, C., Khazen, M., Kessar, P., Leach, M.O., Hawkes, D.J. (2004). Classification Improvement by Segmentation Refinement: Application to Contrast-Enhanced MR-Mammography.
Edwards, P.J., Johnson, L.G., Hawkes, D.J., Fenlon, M.R., Strong, A.J., Gleeson, M.J. (2004). Clinical experience and perception in stereo augmented reality surgical navigation.
Yates, T.D., Hebden, J.C., Gibson, A.P., Everdell, N.L., Delpy, D.T., Arridge, S.R., ...Chicken, W. (2004). Clinical results from a 32-channel time resolved system used to image the breast.
Vilhunen, T., Kohlehmainen, V., Vauhkonen, M., Vanne, A., Gibson, A.P., Schweiger, M., ...Kaipio, J.P. (2004). Computational calibration method for optical tomography.
Johnson, L.G., Edwards, P.J., Griffin, L.D., Hawkes, D.J. (2004). Depth perception of stereo overlays in image-guided surgery.
Hebden, J.C., Gibson, A., Austin, T., Yusof, R., Everdell, N., Delpy, D.T., ...Wyatt, J.S. (2004). Imaging changes in blood volume and oxygenation in the newborn infant brain using three-dimensional optical tomography. Physics in Medicine and Biology, 49 (7), 1117-1130. doi:10.1088/0031-9155/49/7/003
Parker, G.J.M., Luzzi, S., Lambon-Ralph, M.A., Wheeler-Kingshott, C.A.M., Ciccarelli, O., Alexander, D.C. (2004). Lateralisation of connective pathways between language centres demonstrated using group analysis of fibre tracking incorporating crossing fibre information.
de Cunha, D.A., EADIE, L., Adams, B., Hawkes, D.J. (2004). Medical ultrasound image similarity measurement by human visual system (HVS) modelling.
Cook, P.A., Alexander, D.C., Parker, G.J.M. (2004). Modelling noise-induced fibre-orientation error in diffusion-tensor MRI..
Cook, P.A., Alexander, D.C., Parker, G.J.M. (2004). Modelling noise-induced fibre-orientation error..
Schnabel, J.A., Batchelor, P.G., Tanner, C., Quist, M., Gerritsen, F.A., Hawkes, D.J. (2004). Modelling tissue deformations using free-form modes of vibration.
Austin, T., Hebden, J.C., Gibson, A., Yusof, R.M., Arridge, S.R., Meek, J.H., ...Wyatt, J.S. (2004). Optical imaging of the neonatal brain.
Corlu, A., Durduran, T., Choe, R., Lee, K., Schweigert, M., Hillman, E.M.C., ...Yodh, A.G. (2004). Optimum wavelengths in continuous-wave multi-spectral diffuse optical tomography.
Curran, K.M., Alexander, D.C. (2004). Orientation coherence optimization in tensor image registration..
Kastanis, I., Arridge, S.R., Silver, A.M.S., Hill, D.L., Ravazi, R. (2004). Reconstruction of the heart boundary from undersampled cardiac MRI using Fourier shape descriptors and local basis functions.
Penney, G.P., Blackall, J.M., Hamady, M.S., Sabharwal, T., Adam, A., Hawkes, D.J. (2004). Registration of freehand 3D ultrasound and magnetic resonance liver images. Medical Image Analysis, 8 (1), 81-91. doi:10.1016/j.media.2003.07.003
Penney, G.P., Schnabel, J.A., Rueckert, D., Hawkes, D.J., Niessen, W.J. (2004). Registration-based interpolation using a high-resolution image for guidance.
Chandler, A.G., Schnabel, J.A., Hawkes, D.J., Netsch, T., Cocosco, C.A. (2004). Slice-to-volume registration using mutual information between probabilistic image classifications.
de Cunha, D.A., Eadie, L.H., Barbur, J.L., Hawkes, D.J., Seifalian, A.M. (2004). The effect of image colour distortion on evaluation of donor liver suitability for transplantation. COMPUT BIOL MED, 34 (010-4825 (Print), 7), 615-632.
Hebden, J.C., Gibson, A.P., Everdell, N., Yusof, R.M., Delpy, D.T. (2004). Three-dimensional optical imaging of hemodynamic and oxygenation changes in the newborn infant brain.
Arridge, S.R. (2004). Time domain optical tomography.
Blackall, J.M., Penney, G.P., King, A.P., Adam, A.N., Hawkes, D.J. (2004). Tracking alignment of sparse ultrasound with preoperative images of the liver and an interventional plan using models of respiratory motion and deformation.
Chan, C.S.K., Edwards, P.J., Barratt, D.C., Slomczykowski, M., Hawkes, D.J. (2004). Ultrasound-based reconstruction and registration of 3D bone anatomy using statistical shape.

2003

Gibson, A., Schweiger, M., Hebden, J.C., Arridge, S.R., Delpy, D.T. (2003). A method for generating patient-specific finite element meshes for head modelling.
Gibson, A.P., Riley, J., Schweiger, M., Hebden, J.C., Arridge, S.R., Delpy, D.T. (2003). A Method for Generating Patient-Specific Finite Element Meshes for Head Modelling. Physics in Medicine and Biology, (48), 481-495. doi:10.1088/0031-9155/48/4/305
Duda, J.T., Rivera, M., Alexander, D.C., Gee, J.C. (2003). A method for non-rigid registration of diffusion tensor magnetic resonance images. MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3, 5032 1186-1196. doi:10.1117/12.481155
Manzke, R., Grass, M., Nielsen, T., Shechter, G., Hawkes, D. (2003). Adaptive temporal resolution optimization in helical cardiac cone beam CT reconstruction. MEDICAL PHYSICS, 30 (12), 3072-3080. doi:10.1118/1.1624756
Heino, J., Arridge, S., Sikora, J., Somersalo, E. (2003). Anisotropic effects in highly scattering media. Physical Review E, 68 (3), 031908-1-031908-8. doi:10.1103/PhysRevE.68.031908
Heino, J., Arridge, S., Sikora, J., Somersalo, E. (2003). Anisotropic effects in highly scattering media. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 68 (3 1), 319081-319088.
Hickman, S.J., Coulon, O., Parker, G.J.M., Barker, G.J., Stevenson, V.L., Chard, D.T., ...Miller, D.H. (2003). Application of a B-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional MR images. Journal of Magnetic Resonance Imaging, 18 (3), 368-371. doi:10.1002/jmri.10354
Razavi, R., Hill, D.L., Keevil, S.F., Miquel, M.E., Muthurangu, V., Hegde, S., ...Hawkes, D.J. (2003). Cardiac catheterisation guided by MRI in children and adults with congenital heart disease. The Lancet, 362 (9399), 1877-1882. doi:10.1016/S0140-6736(03)14956-2
Schweiger, M., Gibson, A.P., Arridge, S.R. (2003). Computational aspects of diffuse optical tomography. Computing in Science and Engineering, 5 (6), 33-41. doi:10.1109/MCISE.2003.1238702
Curran, K.M., Alexander, D.C. (2003). Diffusion tensor orientation matching for image registration. MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3, 5032 149-156. doi:10.1117/12.481130
Schweiger, M., Arridge, S.R. (2003). Image reconstruction in optical tomography using local basis functions. JOURNAL OF ELECTRONIC IMAGING, 12 (4), 583-593. doi:10.1117/1.1586919
Crum, W.R., Hill, D.L., Hawkes, D.J. (2003). Information theoretic similarity measures in non-rigid registration. INF PROCESS MED IMAGING, 18 (011-2499 (Print)), 378-387.
Chan, C.S.K., Edwards, P.J., Hawkes, D.J. (2003). Integration of ultrasound based registration with statistical shape models for computer assisted orthopaedic surgery.
Hipwell, J.H., Penney, G.P., McLaughlin, R.A., Rhode, K., Summers, P., Cox, T.C., ...Hawkes, D.J. (2003). Intensity-based 2-D-3-D registration of cerebral angiograms. IEEE TRANS MED IMAGING, 22 (278-0062 (Print), 11), 1417-1426.
Cook, P.A., Alexander, D.C. (2003). Inter-subject comparison of brain connectivity using diffusion tensor magnetic resonance imaging.
Hartkens, T., Hill, D.L., Castellano-Smith, A.D., Hawkes, D.J., Maurer, C.R., Jr, M., ...C, L. (2003). Measurement and analysis of brain deformation during neurosurgery. IEEE Transactions on Medical Imaging, 22 (1), 82-92. doi:10.1109/TMI.2002.806596
Hawkes, D.J., Edwards, P.J., Barratt, D.C., Blackall, J.M., Penney, G.P., Tanner, C. (2003). Measuring and Modeling Soft Tissue Deformation for Image Guided Interventions.
Hawkes, D.J., Hill, D.L. (2003). Medical imaging at Guy's Hospital, King's College London. IEEE TRANS MED IMAGING, 22 (278-0062 (Print), 9), 1033-1041.
Hawkes, D.J., Hill, D.L.G. (2003). Medical imaging at Guy's Hospital, King's College London. IEEE TRANSACTIONS ON MEDICAL IMAGING, 22 (9), 1033-1041. doi:10.1109/TMI.2003.815866
Noble, N.M., Hill, D.L., Breeuwer, M., Schnabel, J.A., Hawkes, D.J., Gerritsen, F.A., Razavi, R. (2003). Myocardial delineation via registration in a polar coordinate system. ACAD RADIOL, 10 (076-6332 (Print), 12), 1349-1358.
Duda, J., Rivera, M., Alexander, D.C., Gee, J.C. (2003). Optical flow based method for non-rigid registration of diffusion tensor magnetic resonance images.
Gibson, A., Yusof, R.M., Dehghani, H., Riley, J., Everdell, N., Richards, R., ...Delpy, D.T. (2003). Optical tomography of a realistic neonatal head phantom.
Gibson, A., Yusof, R.M., Dehghani, H., Riley, J., Everdell, N., Richards, R., ...Delpy, D.T. (2003). Optical tomography of a realistic neonatal head phantom. Applied Optics, 42 (16), 3019-3116.
Stott, J.J., Culver, J.P., Arridge, S.R., Boas, D. (2003). Optode positional calibration in diffuse optical tomography. Applied Optics, 42 3154-3162.
Curran, K.M., Alexander, D.C. (2003). Orientation matching for registration of diffusion tensor images.
Jansons, K.M., Alexander, D.C. (2003). Persistent Angular Structure: New Insights from Diffusion Magnetic Resonance Imaging Data. Inverse Problems, 19 1031-1046. doi:10.1088/0266-5611/19/5/303
Jansons, K.M., Alexander, D.C. (2003). Persistent Angular Structure: new insights from diffusion MRI data. Dummy version.. Inf Process Med Imaging, 18 672-683.
(2003). Persistent Angular Structure: new insights from diffusion MRI data. Dummy version.. Information processing in medical imaging : proceedings of the ... conference, 18 672-683.
Parker, G.J.M., Alexander, D.C. (2003). Probabilistic Monte Carlo based mapping of cerebral connections utilising whole-brain crossing fibre information.
(2003). Probabilistic Monte Carlo based mapping of cerebral connections utilising whole-brain crossing fibre information.. Information processing in medical imaging : proceedings of the ... conference, 18 684-695.
Parker, G.J.M., Alexander, D.C. (2003). Probabilistic Monte-Carlo based mapping of cerebral connections utilising crossing fibre information.
Coulon, O.P., Alexander, D.C., Arridge, S.R. (2003). Regularisation d'images de tenseurs de diffusion par resonance magnetique.
Coulon, O.P., Alexander, D.C., Arridge, S.R. (2003). Regularisation d'images de tenseurs de diffusion par resonance magnetique.
Kolehmainen, V., Prince, S., Arridge, S.R., Kaipio, J.P. (2003). State Estimation Approach to Non-Stationary Optical Tomography Problem. Journal of the Optical Society of America A: Optics, Image Science, and Vision, (20), 876-889.
Johnson, L.G., Edwards, P., Hawkes, D. (2003). Surface transparency makes stereo overlays unpredictable: the implications for augmented reality.. Studies in Health Technology and Informatics, 94 131-136. doi:10.3233/978-1-60750-938-7-131
Johnson, L.G., Edwards, P.J., Barratt, D.C., Hawkes, D.J. (2003). The problem of perceiving accurate depth information through a surgical augmented reality system.
Prince, S., Kolehmainen, V., Kaipio, J.P., Franceschini, M.A., Boas, D., Arridge, S.R. (2003). Time-Series Estimation of Biological Factors in Optical Diffusion Tomography. Physics in Medicine and Biology, (48), 1491-1504.
Blyth, R., Cook, P.A., Alexander, D.C. (2003). Tractography with multiple fibre directions.
Corlu, A., Durduran, T., Choe, R., Schweiger, M., Hillman, E.M.C., Arridge, S.R., Yodh, A.G. (2003). Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography. OPTICS LETTERS, 28 (23), 2339-2341. doi:10.1364/OL.28.002339
Tanner, C., Schnabel, J.A., Castellano-Smith, A.D., Degenhard, A., Leach, M.O., Hose, D.R., ...Hawkes, D.J. (2003). Validation of nonrigid image registration using finite-element methods: application to breast MR images. IEEE Transactions on Medical Imaging, 22 (2), 238-247. doi:10.1109/TMI.2002.808367
Yusof, R., Hebden, J.C., Gibson, A., Everdell, N., Austin, T., Meek, J., ...Delpy, D.T. (2003). Validation of the use of homogenous reference phantoms for optical tomography of the neonatal brain. Proceedings of SPIE, 4955 6-11.
Marti-Lopez, L., Bouza-Dominguez, J., Hebden, J.C., Arridge, S.R., Martinez-Celorio, R.A. (2003). Validity conditions for radiative transfer equation. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 20 (11), 2046-2056.
Steed, A., Alexander, D., Cook, P., Parker, C. (2003). Visualizing Diffusion-Weighted MRI Data Using Collaborative Virtual Environment and Grid Technologies.
Crum, W.R., Griffin, L.D., Hill, D.L., Hawkes, D.J. (2003). Zen and the art of medical image registration: correspondence, homology, and quality. NEUROIMAGE, 20 (053-8119 (Print), 3), 1425-1437. doi:10.1016/j.neuroimage.2003.07.014

2002

Hebden, J.C., Hillman, E.M.C., Gibson, A., Everdell, N., Yusof, R.M., Delpy, D.T., ...Austin, J.H. (2002). .
Gibson, A., Dehghani, H., Yusof, R.M., Hillman, E.M.C., Hebden, J.C., Schweiger, M., Arridge, S.R. (2002). .
Hillman, E.M.C., Arridge, S.R., Hebden, J.C., Delpy, D.T. (2002). .
Hipwell, J.H., Penney, G.P., Cox, T.C., Byrne, J.V., Hawkes, D.J. (2002). 2D-3D intensity based registration of DSA and MRA – A comparison of similarity measures.
McLaughlin, R.A., Hipwell, J., Hawkes, D.J., Alison Noble, J., Byrne, J.V., Cox, T. (2002). A comparison of 2D-3D intensity-based registration and feature-based registration for neurointerventions.
Castellano-Smith, A.D., Hartkens, T., Schnabel, J.A., Hose, R., Liu, H.Y., Hall, W., ...Hill, D.L.G. (2002). A registration based mesh construction technique for finite element models of brains. MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 4684 538-549. doi:10.1117/12.467196
Heino, J., Arridge, S., Somersalo, E. (2002). Anisotropic effect in light scattering and some implications in optical tomography.
Jones, D.K., Griffin, L.D., Alexander, D.C., Williams, S.C.R., Howard, R.J. (2002). Characterising a population distribution of diffusion tensors.
Degenhard, A., Tanner, C., Hayes, C., Hawkes, D.J., Leach, M.O. (2002). Comparison between radiological and artificial neural network diagnosis in clinical screening. PHYSIOL MEAS, 23 (967-3334 (Print), 4), 727-739.
Tanner, C., Schnabel, J.A., Castellano-Smith, A.D., Sonoda, L.I., Hill, D.L., Hawkes, D.J., ...Hose, D.R. (2002). Comparison of biomechanical breast models: a case study.
Penney, G.P., Little, J.A., Weese, J., Hill, D.L., Hawkes, D.J. (2002). Deforming a preoperative volume to represent the intraoperative scene. COMPUT AIDED SURG, 7 (092-9088 (Print), 2), 63-73.
Penney, G.P., Little, J.A., Weese, J., Hill, D.L.G., Hawkes, D.J. (2002). Deforming a preoperative volume to represent the intraoperative scene.. Computer Aided Surgery, 7 (2), 63-73. doi:10.1002/igs.10034
Alexander, D.C., Barker, G.J., Arridge, S.R. (2002). Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data. Magnetic Resonance in Medicine, 48 (2), 331-340. doi:10.1002/mrm.10209
Alexander, D.C., Barker, G.J., Arridge, S.R. (2002). Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data. Magnetic Resonance in Medicine, 48 (2), 331-340. doi:10.1002/mrm.10209
Jones, D.K., Catani, M., Alexander, D.C., Howard, R.J. (2002). Diffusion tensor fiber tractography on a population averaged brain.
Arridge, S. (2002). Diffusion tomography in dense media. In Pike, E.R., Sabatier, P. (Eds.), Scattering. (pp. 920-936). Academic Press.
Cook, P.A., Alexander, D.C. (2002). Examination of White Matter Tissue Structures in the Human Brain.
Schnabel, J.A., Tanner, C., Castellano-Smith, A.D., Degenhard, A., Hayes, C., Leach, M.O., ...Hawkes, D.J. (2002). Finite element based validation of non-rigid registration using single- and multi-level free-form deformations: Application to contrast-enhanced MR mammography. MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 4684 550-561. doi:10.1117/12.467197
Hawkes, D.J., Spendley, D.G., Alfaham, M. (2002). Hypothesis waiting for proof: unwrapping neonates for transfer. ARCH DIS CHILD FETAL NEONATAL ED, 87 (359-2998 (Print), 3), F232-.
Rhode, K., Lambrou, T., Seifalian, A.M., Hawkes, D.J. (2002). In-vitro validation of a novel model-based approach to the measurement of arterial blood flow waveforms from dynamic digital x-ray images.
Batchelor, P.G., Castellano Smith, A.D., Hill, D.L.G., Hawkes, D.J., Cox, T.C.S., Dean, A.F. (2002). Measures of folding applied to the development of the human fetal brain.. IEEE TRANSACTIONS ON MEDICAL IMAGING, 21 (8), 953-965. doi:10.1109/TMI.2002.803108
Hallpike, L., Hawkes, D.J. (2002). Medical image registration: An overview. Imaging, 14 (6), 455-463. doi:10.1259/img.14.6.140455
Alexander, D.C., Barker, G.J., Arridge, S.R. (2002). Model selection in MR diffusion imaging.
Alexander, D.C., Barker, G.J., Arridge, S.R. (2002). Model selection in MR diffusion imaging.
Noble, N.M.I., Hill, D.L.G., Breeuwer, M., Schnabel, J.A., Hawkes, D.J., Gerritsen, F.A., Razavi, R. (2002). Myocardial delineation via registration in a polar coordinate system.
Gee, J.C., Alexander, D.C., Rivera, M., Duda, J.T. (2002). Non-rigid registration of diffusion tensor MR images.
Gibson, A., Yusof, R.M., Dehghani, H., Riley, J., Everdell, N., Hebden, J.C., ...Delpy, D.T. (2002). Optical Tomography of a Realistic Head-Shaped Phantom.
Hebden, J.C., Bland, T., Hillman, E.M.C., Gibson, A., Everdell, N., Delpy, D.T., ...Douek, M. (2002). Optical tomography of the breast using a 32-channel time-resolved imager.
Hebden, J.C., Bland, T., Hillman, E.M.C., Gibson, A., Everdell, N., Delpy, D.T., ...Douek, M. (2002). Optical Tomography of the Breast using a 32-Channel Time-Resolved Imager.
Bland, T., Hebden, J.C., Hillman, E.M.C., Gibson, A., Everdell, N., Delpy, D.T., ...Douek, M. (2002). Optical Tomography of the Breast using a 32-Channel Time-Resolved Imager.
Gibson, A., Riley, J., Schweiger, M., Hebden, J.C., Arridge, S.R., Delpy, D.T. (2002). Optical Tomography of the Neonatal Head using a Patient-Specific Finite Element Mesh.
Curran, K.M., Alexander, D.C. (2002). Orientation matching for registration of diffusion tensor images.
Hillman, E.M.C., Arridge, S.R., Hebden, J.C., Delpy, D.T. (2002). Oxygen saturation and blood-volume derivation from multi-wavelength time-resolved optical tomography data.
Coulon, O., Hickman, S.J., Parker, G.J., Barker, G.J., Miller, D.H., Arridge, S.R. (2002). Quantification of spinal cord atrophy from magnetic resonance images via a B-spline active surface model.. Magnetic Resonance in Medicine, 47 (6), 1176-1185.
Jansons, K.M., Alexander, D.C. (2002). Spin echo attenuation to diffusion density: a general inversion for measurements on a sphere.
Alexander, D.C., Jansons, K.M. (2002). Spin echo attenuation to diffusion density: a general inversion for measurements on a sphere.
Hebden, J.C., Gibson, A., Yusof, R.M., Everdell, N., Hillman, E.M.C., Delpy, D.T., ...Wyatt, J.S. (2002). Three-dimensional optical tomography of the premature infant brain. Physics in Medicine and Biology, 47 (23), 4155-4166. doi:10.1088/0031-9155/47/23/303
Hebden, J.C., Hillman, E.M.C., Gibson, A., Everdell, N., Yusof, R.M., Delpy, D.T., ...Meek, J.H. (2002). Time resolved optical imaging of the newborn infant brain: initial clinical results.
Alexander, D.C., Barker, G.J., Arridge, S.R. (2002). Tissue structure complexity maps from high angular resolution diffusion weighted magnetic resonance measurements.
Alexander, D.C., Barker, G.J., Arridge, S.R. (2002). Tissue structure complexity maps from high angular resolution diffusion weighted magnetic resonance measurements.
Hartkens, T., Hill, D.L.G., Castellano-Smith, A.D., Hawkes, D.J., Maurer, C.R., Martin, A.J., ...Truwit, C.L. (2002). Using points and surfaces to improve voxel-based non-rigid registration.
Jannin, P., Fitzpatrick, J.M., Hawkes, D.J., Pennec, X., Shahidi, R., Vannier, M.W. (2002). Validation of medical image processing in image-guided therapy. IEEE Transactions on Medical Imaging, 21 (12), 1445-1449. doi:10.1109/TMI.2002.806568
Jannin, P., Fitzpatrick, J.M., Hawkes, D.J., Pennec, X., Shahidi, R., Vannier, M.W. (2002). Validation of medical image processing in image-guided therapy. IEEE TRANS MED IMAGING, 21 (278-0062 (Print), 12), 1445-1449.
Tanner, C., Schnabel, J.A., Degenhard, A., Castellano-Smith, A.D., Hayes, C., Leach, M.O., ...Hawkes, D.J. (2002). Validation of volume-preserving non-rigid registration: Application to contrast-Enhanced MR-mammography.
Jones, D.K., Alexander, D.C., Williams, S.C.R., Howard, R.J. (2002). Visualizing inter-subject coherence of axonal fiber orientation by diffusion tensor MRI.

2001

Schnabel, J.A., Rueckert, D., Quist, M., Blackall, J.M., Castellano-Smith, A.D., Hartkens, T., ...Truwit, C.L. (2001). A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations.
Tanner, C., Degenhard, A., Schnabel, J.A., Smith, A.C., Hayes, C., Sonoda, L.I., ...Hawkes, D.J. (2001). A method for the comparison of biomechanical breast models.
Coulon, O., Alexander, D.C., Arridge, S.R. (2001). A regularization scheme for diffusion tensor magnetic resonance images.
Coulon, O., Alexander, D.C., Arridge, S.R. (2001). A regularization scheme for diffusion tensor magnetic resonance images.
Blackall, J.M., King, A.P., Penney, G.P., Adam, A., Hawkes, D.J. (2001). A Statistical Model of Respiratory Motion and Deformation of the Liver.
Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C. (2001). An algorithm for preservation of orientation during non-rigid warps of DT-MR images.
Dehmeshki, J., Ruto, A.C., Arridge, S., Silver, N.C., Miller, D.H., Tofts, P.S. (2001). Analysis of MTR histograms in multiple sclerosis using principal components and multiple discriminant analysis. Magnetic Resonance in Medicine, 46 (3), 600-609.
Hickman, S., Coulon, O., Parker, G.J., Barker, G.J., Stevenson, V.L., Chard, D.T., ...Miller, D.H. (2001). Cervical spinal cord volume estimation using an active surface method: a amgnetic resonance imaging study in multiple sclerosis.
Castellano-Smith, A.D., Hartkens, T., Schnabel, J., Hose, D.R., Liu, H., Hall, W.A., ...Hill, D. (2001). Constructing patient specific models for correcting intraoperative brain deformation.
Hillman, E.M.C., Dehghani, H., Hebden, J.C., Arridge, S.R., Schweiger, M., Delpy, D.T., Chance, B. (2001). Differential Imaging in Heterogeneous Media: Limitations of Linearisation Assumptions in Optical Tomography. Bellingham, 4240 327-338.
Hillman, E.M., Dehghani, H., Hebden, J.C., Arridge, S.R., Schweiger, M., Delpy, D.T. (2001). Differential imaging in heterogeneous media: limitations of linearization assumptions in optical tomography.
Ripoll, J., Nieto-Vesperinas, M., Arridge, S.R. (2001). Effect of roughness in nondiffusive regions within diffusive media. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 18 (4), 940-947. doi:10.1364/JOSAA.18.000940
King, A.P., Batchelor, P.G., Penney, G.P., Blackall, J.M., Hill, D.L.G., Hawkes, D.J. (2001). Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound.
Schweiger, M., Arridge, S.R. (2001). Fast 3D image reconstruction in optical tomography using coarse-gain parallelization strategy.
Edwards, P.J., Hawkes, D.J., Penney, G.P., Clarkson, M.J. (2001). Guiding Therapeutic Procedures. In Hajnal, J.V., Hawkes, D.J., Hill, D.L.G. (Eds.), Medical image registration. (pp. 253-278). CRC.
Edwards, P.J., Hawkes, D.J., Penney, G.P., Clarkson, M.J. (2001). Guiding Therapeutic Proceedures. In Hajnal, J.V., Hill, D.L.G., Hawkes, D.J. (Eds.), Medical Image Registration. (pp. 253-278). CRC.
Degenhard, A., Tanner, C., Hayes, C., Hawkes, D.J., Leach, M.O. (2001). Half fourier acquisition applied to time series analysis of contrast agent uptake.
Arridge, S.R. (2001). Illposedness and non-linearity in Optical Tomography of scattering media.
Hajnal, J.V., Hill, D.L.G., Hawkes, D.J. (2001). Introduction. In Medical Image Registration. (pp. 1-10). .
Rhode, K., Ennew, G., Lambrou, T., Seifalian, A., Hawkes, D. (2001). In-vitro validation of a novel model-based approach to the measurement of arterial blood flow waveforms from dynamic digital x-ray images.
Hill, D.L., Batchelor, P.G., Holden, M., Hawkes, D.J. (2001). Medical image registration. PHYS MED BIOL, 46 (031-9155 (Print), 3), R1-45.
Hill, D.L., Batchelor, P.G., Holden, M., Hawkes, D.J. (2001). Medical image registration.. PHYSICS IN MEDICINE AND BIOLOGY, 46 (3), R1-R45. doi:10.1088/0031-9155/46/3/201
Dehghani, H., Hillman, E.M.C., Schweiger, M., Arridge, S.R., Delpy, D.T. (2001). Optical Tomography of a 3D Multi Layered Head Model. Proceedings of SPIE, 4250 45-52.
Degenhard, A., Tanner, C., Hayes, C., Hawkes, D.J., Leach, M.O. (2001). Pre-processed image reconstruction applied to breast and brain MR imaging. PHYSIOL MEAS, 22 (967-3334 (Print), 3), 589-604.
Coulon, O., Alexander, D.C., Arridge, S.R. (2001). Principal diffusion direction field regularization for diffusion tensor magnetic resonance images.
Coulon, O., Alexander, D.C., Arridge, S.R. (2001). Principal diffusion direction field regularization for diffusion tensor magnetic resonance images.
Andersson-Engels, S., Kaschke, M.F., Arridge, S.R., Fujimoto, J.G. (2001). Proceedings of SPIE - The International Society for Optical Engineering: Introduction.
Coulon, O., Parker, G.J.M., Hickman, S.J., Arridge, S.R. (2001). Quantification of spinal cord atrophy via an active surface model.
Hawkes, D.J. (2001). Registration methodology: Introduction. In Medical Image Registration. (pp. 11-38). .
Hill, D.L.G., Batchelor, P.G. (2001). Registration Methodology-Algorithms,. In Hajnal, J., Hill, D.L.G., Hawkes, D. (Eds.), Medical Image Registration,. CRC.
(2001). Simultaneous imaging and optode calibration with diffuse optical tomography. Optics express, 8 (5), 263-270.
Holden, M., Breeuwer, M., McLeish, K., Hawkes, D.J., Keevil, S.F., Hill, D.L. (2001). Sources and correction of higher order geometrical distortion for serial MR brain imaging. MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 4322 69-78. doi:10.1117/12.431151
Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C. (2001). Spatial transformations of diffusion tensor magnetic resonance images. IEEE Transactions on Medical Imaging, 20 (11), 1131-1139. doi:10.1109/42.963816
Alexander, D.C., Buxton, B.F. (2001). Statistical modelling of colour data. International Journal of Computer Vision, 44 (2), 87-109. doi:10.1023/A:1011870913626
Penney, G.P., Edwards, P.J., King, A.P., Blackall, J.M., Batchelor, P.G., Hawkes, D.J. (2001). Stochastic Iterative Closest Point Algorithm (stochastICP).
Rösch, P., Mohs, T., Netch, T., Quist, M., Penney, G.P., Hawkes, D.J., Weese, J. (2001). Template selection and rejection for robust non-rigid 3D registration in the presence of large deformations. Proceedings of SPIE - The International Society for Optical Engineering, 4322 (1), 545-556. doi:10.1117/12.431128
Coulon, O., Alexander, D.C., Arridge, S.R. (2001). Tensor field regularisation for DT-MR images.
Coulon, O., Alexander, D.C., Arridge, S.R. (2001). Tensor field regularisation for DT-MR images.
Johnson, L., EADIE, L., de Cunha, D.A., Edwards, P., Hawkes, D.J. (2001). The limits of transparent depth perception with restricted field of view: Application in an augmented reality surgical microscope.
Riley, J.D., Arridge, S.R., Chrysanthou, Y., Dehghani, H., Hillman, E.M. (2001). The radiosity diffusion model in 3D.
(2001). Three dimensional time-resolved optical tomography of a conical breast phantom. Applied Optics, 40 3278-3287.
Hebden, J.C., Veenstra, H., Dehghani, H., Hillman, E.M.C., Schweiger, M., Arridge, S.R., Delpy, D.T. (2001). Three-dimensional time-resolved optical tomography of a conical breast phantom. Applied Optics, 40 (19), 3278-3287.
Hillman, E.M.C., Dehghani, H., Hebden, J.C., Arridge, S.R., Schweiger, M., Delpy, D.T., Schmidt, F.E.W. (2001). Time Resolved Optical Tomography of the Human Forearm. Physics in Medicine and Biology, 46 1117-1130.
King, A.P., Blackall, J.M., Penney, G.P., Hawkes, D.J. (2001). Tracking liver motion using 3-D ultrasound and a surface based statistical shape model.
Clarkson, M.J., Rueckert, D., Hill, D.L.G., Hawkes, D.J. (2001). Using photo-consistency to register 2D optical images of the human face to a 3D surface model.. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (11), 1266-1280.
Penney, G.P., Batchelor, P.G., Hill, D.L., Hawkes, D.J., Weese, J. (2001). Validation of a two- to three-dimensional registration algorithm for aligning preoperative CT images and intraoperative fluoroscopy images. MED PHYS, 28 (094-2405 (Print), 6), 1024-1032.
Penney, G.P., Batchelor, P.G., Hill, D.L., Hawkes, D.J., Weese, J. (2001). Validation of a two- to three-dimensional registration algorithm for aligning preoperative CT images and intraoperative fluoroscopy images.. MEDICAL PHYSICS, 28 (6), 1024-1032. doi:10.1118/1.1373400
Schnabel, J.A., Tanner, C., Smith, A.D.C., Leach, M.O., Hayes, C., Degenhard, A., ...Hawkes, D.J. (2001). Validation of non-rigid registration using finite element methods.
Hajnal, J.V., Hill, D.L.G., Hawkes, D.J. (2001). View of the future. In Medical Image Registration. (pp. 363-368). .

2000

Hebden, J.C., Schmidt, F.E.W., Hillman, E.M.C., Arridge, S.R., Schweiger, M., Delpy, D.T. (2000). .
Riley, J., Dehghani, H., Schweiger, M., Arridge, S.R., Ripoli, J., Nieto-Vesperinas, M. (2000). 3D optical tomography in the presence of void regions. Optics express, 7 (13), 462-467.
Valdivieso-Casique, M., Arridge, S. (2000). A comparison of the use of different image features in a non linear registration algorithm.
Arridge, S.R., Hebden, J.C., Schweiger, M., Schmidt, F.E., Fry, M.E., Hillman, E.M., ...Delpy, D.T. (2000). A method for three-dimensional time-resolved optical tomography. International Journal of Imaging Systems and Technology, 11 2-11.
Arridge, S.R., Hebden, J.C., Schwinger, M., Schmidt, F.E.W., Fry, M.E., Hillman, E.M.C., ...Delpy, D.T. (2000). A method for three-dimensional time-resolved optical tomography. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 11 (1), 2-11.
Blackall, J.M., Rueckert, D., Maurer, C.R., Penney, G.P., Hill, D.L.G., Hawkes, D.J. (2000). An image registration approach to automated calibration for freehand 3D ultrasound.
King, A.P., Blackall, J.M., Penney, G.P., Edwards, P.J., Hill, D.L.G., Hawkes, D.J. (2000). Bayesian estimation of intra-operative deformation for image-guided surgery using 3-D ultrasound.
Ripoll, J., Arridge, S.R., Dehghani, H., Nieto-Vesperinas, M. (2000). Boundary conditions for light propagation in diffusive media with nonscattering regions. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 17 (9), 1671-1681.
Hillman, E.M.C., Hebden, J.C., Schmidt, F.E.W., Arridge, S.R., Schweiger, M., Dehghani, H., Delpy, D.T. (2000). Calibration techniques and datatype extraction for time-resolved optical tomography. REVIEW OF SCIENTIFIC INSTRUMENTS, 71 (9), 3415-3427. doi:10.1063/1.1287748
Hillman, E.M., Hebden, J.C., Schmidt, F.E., Arridge, S.R., Schweiger, M., Dehghani, H., Delpy, D.T. (2000). Calibration techniques and datatype extraction for time-resolved optical tomography. Review of Scientific Instruments, 71 (9), 3415-3427.
Edwards, P.J., King, A.P., Maurer, C.R., de Cunha, D.A., Hawkes, D.J., Hill, D.L.G., ...Strong, A.J. (2000). Design and evaluation of a system for microscope-assisted guided interventions (MAGI). IEEE TRANSACTIONS ON MEDICAL IMAGING, 19 (11), 1082-1093. doi:10.1109/42.896784
Dehmeshki, J., Ruto, A.C., Parker, G.J.M., Arridge, S., Miller, D.H., Tofts, P.S. (2000). Detection and classification of MS using magnetisation transfer ratio images.
Coulon, O., Arridge, S.R. (2000). Dual echo MR image processing using multi-spectral probabilistic diffusion coupled with shock filters.
Ripoll, J., Arridge, S.R., Nieto-Vesperinas, M. (2000). Effect of roughness in non-diffusive regions within diffusive media.
Alexander, D.C., Gee, J.C. (2000). Elastic matching of diffusion tensor images. Computer Vision and Image Understanding, 77 (2), 233-250.
Castellano Smith, A.D., Batchelor, P.G., Hill, D.L.G., Dean, A.D., Cox, T., Hawkes, D.J. (2000). he Shape of the Developing Foetal Cortex from MR Images.
Dehghani, H., Arridge, S.R., Schweiger, M., Delpy, D.T. (2000). Image reconstruction in the presence of a void region.
Hillman, E.M.C., Hebden, J.C., Schmidt, F.E., Arridge, S.R., Fry, M.E., Schweiger, M., Delpy, D.T. (2000). Initial clinical testing of the UCL 32 channel time-resolved instrument for optical tomography.
Hillman, E.M., Hebden, J.C., Schmidt, F.E., Arridge, S.R., Fry, M.E., Schweiger, M., Delpy, D.T. (2000). Intitial clinical testing of the UCL 32 channel time-resolved instrument for optical tomography.
Kashio, Y., Ono, M., Firbank, M., Schweiger, M., Arridge, S.R., Okada, E. (2000). Investigation of the relationship between position of brain activity and change in optical density for NIR imaging.
Arridge, S.R. (2000). Linear and non-linear methods in optical tomography.
Hawkes, D.J., Rueckert, D., Clarkson, M.J. (2000). Method of 3D/2D Registration of optical views to a surface model. WO0159708 (A1).
Clarkson, M.J., Rueckert, D., Hill, D.L., Hawkes, D.J. (2000). Multiple 2D video/3D medical image registration algorithm.
Schmidt, F.E.W., Hebden, J.C., Hillman, E.M.C., Fry, M.E., Schweiger, M., Delpy, D.T., ...Dehghani, H. (2000). Multiple-slice imaging of a tissue-equivalent phontom by use of time-resolved optical tomography. Applied Optics, 39 (19), 3380-3387.
Rueckert, D., Clarkson, M.J., Hill, D.L.G., Hawkes, D.J. (2000). Non-rigid registration using higher-order mutual information.
Dehghani, H., Arridge, S.R., Schweiger, M., Delpy, D.T. (2000). Optical tomography in the presence of void regions. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 17 (9), 1659-1670. doi:10.1364/JOSAA.17.001659
Hebden, J.C., Schmidt, F.E.W., Hillman, E.M.C., Arridge, S.R., Schweiger, M., Delpy, D.T. (2000). Optical tomography of the human forearm.
Kolehmainen, V., Vauhkonen, M., Kaipio, J.P., Arridge, S.R. (2000). Recovery of piecewise constant coefficients in optical diffusion tomography. Optics express, 7 (13), 468-480.
Kolehmainen, V., Arridge, S.R., Vauhkonen, M., Kaipio, J.P. (2000). Simultaneous reconstruction of internal tissue region boundaries and coefficients in optical diffusion tomography. Physics in Medicine and Biology, 45 (11), 3267-3284.
Hill, D.L., Smith, A.D., Simmons, A., Maurer, C.R., Jr, C., T C, E., ...C, E. (2000). Sources of error in comparing functional magnetic resonance imaging and invasive electrophysiological recordings. J NEUROSURG, 93 (022-3085 (Print), 2), 214-223.
Alexander, D.C., Gee, J.C. (2000). Spatial transformations for registration of DT-MRIs.
Pineda, A.R., Barrett, H.H., Arridge, S.R. (2000). Spatially varying detectability for optical tomography.
King, A.P., Edwards, P.J., Maurer, C.R., Cunha, D.A.D., Gaston, R.P., Clarkson, M., ...Strong, A.J. (2000). Stereo Augmented Reality in the Surgical Microscope. Presence: Teleoperators and Virtual Environments, 9 360-368. doi:10.1162/105474600566862
Alexander, D.C., Pierpaoli, C., Basser, P.J., Gee, J.C. (2000). Techniques for spatial normalisation of diffusion tensor images.
Arridge, S.R., Dehghani, H., Schweiger, M., Okada, E. (2000). The finite element model for the propagation of light in scattering media: a direct method for domains with nonscattering regions. Medical Physics, 27 (1), 252-264.
Castellano Smith, A.D., Batchelor, P.G., Hill, D.L.G., Dean, A.D., Cox, T., Hawkes, D.J. (2000). The Shape of the Developing Foetal Cortex from MR Images.
Ono, M., Kashio, Y., Schweiger, M., Dehghani, H., Arridge, S.R., Firbank, M., Okada, E. (2000). Topographic distribution of photon measurement density functions on the brain surface by hybrid radiosity-diffusion method. OPTICAL REVIEW, 7 (5), 426-431. doi:10.1007/s10043-000-0426-x
Rhode, K., Lambrou, T., Hawkes, D.J., Hamilton, G., Seifalian, A.M. (2000). Validation of an optical flow algorithm to measure blood flow waveforms in arteries using dynamic digital x-ray images. Proceedings of SPIE, 1 (24 (Sp), 1414-1425.
Tanner, C., Schnabel, A., Chung, D., Clarkson, M.J., Rueckert, D., Hill, D.L.G., Hawkes, D.J. (2000). Volume and shape preservation of enhancing lesions when applying non-rigid registration to a time series of contrast enhancing MR breast images.
Holden, M., Hill, D.L., Denton, E.R., Jarosz, J.M., Cox, T.C., Rohlfing, T., ...Hawkes, D.J. (2000). Voxel similarity measures for 3-D serial MR brain image registration. IEEE TRANS MED IMAGING, 19 (278-0062 (Print), 2), 94-102.

1999

Arridge, S.R., Schweiger, M. (1999). A General Framework for Iterative Reconstruction Algorithms in Optical Tomography, Using a Finite Element Method. In Boergers, C., Natterer, F. (Eds.), Computational Radiology and Imaging - Therapy and Diagnostics. (pp. 45-70). New York, USA: Springer.
(1999). A survey of hierarchical non-linear medical image registration. Pattern Recognition, 32 129-149.
King, A.P., Edwards, P.J., Maurer, C.R., de Cunha, D.A., Hawkes, D.J., Hill, D.L.G., ...Fenlon, M.R. (1999). A system for microscope-assisted guided interventions.
Maurer, C.R., Gaston, R.P., Hill, D.L.G., Gleeson, M.J., Taylor, M.G., Fenlon, M.R., ...Hawkes, D.J. (1999). AcouStick: A tracked A-mode ultrasonography system for registration in image-guided surgery.
Alexander, D.C. (1999). Advances in daylight statistical colour modelling.
Alexander, D.C., Buxton, B.F. (1999). An empirical comparison of statistical chromaticity models.
Studholme, C., Hill, D.L.G., Hawkes, D.J. (1999). An overlap invariant entropy measure of 3D medical image alignment .. Pattern Recognition, 32 71-86.
Schweiger, M., Arridge, S.R. (1999). Application of temporal filters to time resolved data in optical tomography. PHYSICS IN MEDICINE AND BIOLOGY, 44 (7), 1699-1717. doi:10.1088/0031-9155/44/7/310
Hill, D.L.G., Maurer, C.R., Martin, A.J., Sabanathan, S., Hall, W.A., Hawkes, D.J., ...Truwit, C.L. (1999). Assessment of intraoperative brain deformation using interventional MR imaging.
Rueckert, D., Sonoda, L.I., Denton, E., Rankin, S., Hayes, C., Leach, M.O., ...Hawkes, D.J. (1999). Comparison and evaluation of rigid and non-rigid registration of breast MR images. MEDICAL IMAGING 1999: IMAGE PROCESSING, PTS 1 AND 2, 3661 78-88. doi:10.1117/12.348637
Denton, E.R., Sonoda, L.I., Rueckert, D., Rankin, S.C., Hayes, C., Leach, M.O., ...Hawkes, D.J. (1999). Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images. J COMPUT ASSIST TOMOGR, 23 (363-8715 (Print), 5), 800-805.
Denton, E.R.E., Sonoda, L.I., Rueckert, D., Rankin, S.C., Hayes, C., Leach, M.O., ...Hawkes, D.J. (1999). Comparison and evaluation of rigid, affine, and nonrigid registration of breast MR images. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 23 (5), 800-805. doi:10.1097/00004728-199909000-00031
Edwards, P.J., King, A.P., Maurer, C.R., de Cunha, D.A., Hawkes, D.J., Hill, D.L.G., ...Strong, A.J. (1999). Design and evaluation of a system for microscope-assisted guided interventions (MAGI).
Holden, M., Denton, E.R.E., Jarosz, J.M., Cox, T.C.S., Studholme, C., Hawkes, D.J., Hill, D.L.G. (1999). Detecting small anatomical change with 3D serial MR subtraction images. MEDICAL IMAGING 1999: IMAGE PROCESSING, PTS 1 AND 2, 3661 44-55. doi:10.1117/12.348594
Alexander, D.C., Gee, J.C., Bajcsy, R. (1999). Elastic matching of diffusion tensor MRIs.
Alexander, D., Gee, J., Bajcsy, R. (1999). Elastic matching of diffusion tensor MRIs. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1 244-249.
Lionheart, W.R.B., Arridge, S.R., Schweiger, M., Vauhkonen, M., Kaipio, J.P. (1999). Electrical impedance and diffuse optical tomography reconstruction software.
Valdivieso-Casique, M., Arridge, S. (1999). Hierarchical non-linear image deformation with the use of finite element transformations.
Gleeson, M.J., Strong, A.J., Edwards, P.E., Fenlon, M., King, A., Chandra, S., Hawkes, D.J. (1999). Image injection neuronavigation using continuous tracking of the patient and microscope during skull base surgery. Skull Base Surgery, 9 (SUPPL. 2), 16-.
Hebden, J.C., Schmidt, F.E.W., Fry, M.E., Hillman, E.M.C., Schweiger, M., Delpy, D.T., Arridge, S.R. (1999). Imaging of tissue-equivalent phantoms using the UCL multi-channel time-resolved instrument.
Schnabel, J.A., Lemieux, L., Wieshmann, U.C., Arridge, S.R. (1999). Measurement of hippocampal volume changes in serial MRI scans.
Casique, M.V., Arridge, S.R. (1999). Non-linear Registration using a Finite Element Method..
Lester, H., Arridge, S.R., Jansons, K.M., Lemieux, L., Hajnal, J.V., Oatridge, A. (1999). Non-linear registration with the variable viscosity fluid algorithm.. Lecture Notes in Computer Science, 1613 238-251.
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J. (1999). Nonrigid registration using free-form deformations: application to breast MR images. IEEE TRANS MED IMAGING, 18 (278-0062 (Print), 8), 712-721.
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J. (1999). Nonrigid registration using free-form deformations: application to breast MR images.. IEEE transactions on medical imaging, 18 (8), 712-721. doi:10.1109/42.796284
Schweiger, M., Arridge, S.R. (1999). Optical tomographic reconstruction in a complex head model using a priori region boundary information. PHYSICS IN MEDICINE AND BIOLOGY, 44 (11), 2703-2721. doi:10.1088/0031-9155/44/11/302
(1999). Optical tomography in medical imaging. Topical Review Inverse Problems, 15 R14-R93.
Arridge, S.R. (1999). Optical tomography in medical imaging. INVERSE PROBLEMS, 15 (2), R41-R93. doi:10.1088/0266-5611/15/2/022
Schweiger, M., Zhukov, L., Arridge, S.R., Johnson, C.R. (1999). Optical tomography using the SCIRun problem solving environment: Preliminary results for three-dimensional geometries and parallel processing. Optics Express, 4 (8), 263-269. doi:10.1364/OE.4.000263
Schweiger, M., Zhukov, L., Arridge, S.R., Johnson, C.R. (1999). Optical tomography using the SCIRun problem solving environment: Preliminary results for three-dimensional geometries and parallel processing. Optics express, 4 (8), 263-269. doi:10.1364/OE.4.000263
Dehghani, H., Delpy, D.T., Arridge, S.R. (1999). Photon migration in non-scattering tissue and the effects on image reconstruciton. Physics in Medicine and Biology, 44 (12), 2897-2906.
Kolehmainen, V., Arridge, S.R., Lionheart, W.R.B., Kaipio, J.P. (1999). Recovery of organ boundaries in Optical Tomography.
(1999). Recovery of region boundaries of piecewise constant coefficients of an elliptic PDE from boundary data. Inverse Problems, 15 1375-1391.
Clarkson, M.J., Rueckert, D., Hill, D.L., Hawkes, D.J. (1999). Registration of multiple video images to preoperative CT for image-guided surgery.
Clarkson, M.J., Rueckert, D., King, A.P., Edwards, P.J., Hill, D.L.G., Hawkes, D.J. (1999). Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping.
Alexander, D.C., Gee, J., Bajcsy, R. (1999). Similarity measures for matching diffusion tensor images.
Hebden, J.C., Schmidt, F.E.W., Fry, M.E., Schweiger, M., Hillman, E.M.C., Delpy, D.T., Arridge, S. (1999). Simultaneous reconstruction of absorption and scattering images using multi-channel measurement of purely temporal data. Optics Letters, 24 534-536.
Edwards, P.J., King, A.P., Hawkes, D.J., Fleig, O., Maurer, C.R., Jr, H., ...R P, C. (1999). Stereo augmented reality in the surgical microscope. STUD HEALTH TECHNOL INFORM, 62 (926-9630 (Print)), 102-108.
Alexander, D.C., Gee, J.C., Bajcsy, R. (1999). Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images.
Batchelor, P., Smith, A.C., Hill, D.G., Dean, A.D., Cox, T., Hawkes, D.J. (1999). The folding of the human foetal brain. NeuroImage, 9 (6 PART II),
Alexander, D.C., Gee, J.C., Bajcsy, R. (1999). Transformation of and similarity measures for diffusion tensor MRIs.
Ruff, C.F., Hughes, S.W., Hawkes, D.J. (1999). Volume Estimation from Sparse Planar Images using Deformable Models. Image and Vision Computing, 17 (8), 559-565.
Holden, M., Hill, D.L.G., Denton, E.R.E., Jarosz, J.M., Cox, T.C.S., Hawkes, D.J. (1999). Voxel similarity measures for 3D serial MR brain image registration.
Arridge, S.R. (1999). Why Optical Tomography is Hard.

1998

Penney, G.P., Weese, J., Little, J.A., Desmedt, P., Hill, D.L., Hawkes, D.J. (1998). A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE TRANS MED IMAGING, 17 (278-0062 (Print), 4), 586-595.
Penney, G.P., Weese, J., Little, J.A., Desmedt, P., Hill, D.L.G., Hawkes, D.J. (1998). A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE TRANSACTIONS ON MEDICAL IMAGING, 17 (4), 586-595. doi:10.1109/42.730403
Penney, G.P., Weese, J., Little, J.A., Desmedt, P., Hill, D.L.G., Hawkes, D.J. (1998). A comparison of similarity measures for use in 2D-3D medical image registration.
Arridge, S.R., Schweiger, M. (1998). A gradient-based optimisation scheme for Optical Tomography. Optics Express, 2 (6), 213-226.
Studholme, C., Hawkes, D.J., Hill, D.L.G. (1998). A normalised entropy measure for multi-modality image alignment.
Barker, G.J., Simmons, A., Arridge, S.R., Tofts, P.S. (1998). A simple method for investigating the effects of non-uniformity of radiofrequency transmission and radiofrequency reception in MRI. BRITISH JOURNAL OF RADIOLOGY, 71 (841), 59-67. doi:10.1259/bjr.71.841.9534700
Barker, G.J., Simmons, A., Arridge, S.R., Tofts, P.S. (1998). A simple method for investigating the effects of non-uniformity of radiofrequency transmission and radiofrequency reception in MRI. British Journal of Radiology, 71 (JAN.), 59-67. doi:10.1259/bjr.71.841.9534700
Edwards, P.J., Hill, D.L., Little, J.A., Hawkes, D.J. (1998). A three-component deformation model for image-guided surgery. MED IMAGE ANAL, 2 (361-8415 (Print), 4), 355-367.
(1998). Active Shape Focusing. Image Vision Computing, 17 (5/6), 419-428.
Hawkes, D.J. (1998). Algorithms for radiological image registration and their clinical application. J ANAT, 193 ( Pt 3) (021-8782 (Print)), 347-361.
Hawkes, D.J. (1998). Algorithms for radiological image registration and their clinical application.
Simmons, A., Arridge, S.R., Tofts, P.S., Barker, G.J. (1998). Application of the extremum stack to neurological MRI. IEEE Transactions on Medical Imaging, 17 371-382.
Fleig, O.J., Edwards, P.J., Chandra, S., Stuttler, H., Hawkes, D.J. (1998). Automated microscope calibration for image guided surgery.
(1998). Comparison of 2D and 3D reconstruction methods in optical tomography. Applied Optics, 37 (31), 7419-7428.
Schweiger, M., Arridge, S.R. (1998). Comparison of two- and three-dimensional reconstruction methods in optical tomography. APPLIED OPTICS, 37 (31), 7419-7428. doi:10.1364/AO.37.007419
Hill, D.L., Maurer, C.R., Jr, S., C, F., J M, H., D, J. (1998). Correcting scaling errors in tomographic images using a nine degree of freedom registration algorithm. J COMPUT ASSIST TOMOGR, 22 (363-8715 (Print), 2), 317-323.
Hill, D.L., Maurer, C.R., Studholme, C., Fitzpatrick, J.M., Hawkes, D.J. (1998). Correcting scaling errors in tomographic images using a nine degree of freedom registration algorithm.. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 22 (2), 317-323. doi:10.1097/00004728-199803000-00031
Dorward, N.L., Alberti, O., Zhao, J., Dijkstra, A., Buurman, J., Palmer, J.D., ...Thomas, D.G.T. (1998). Interactive image-guided neuroendoscopy: Development and early clinical experience. MINIMALLY INVASIVE NEUROSURGERY, 41 (1), 31-34. doi:10.1055/s-2008-1052011
Hebden, J.C., Arridge, R., Schweiger, M. (1998). Investigation of alternative data types for time resolved optical tomography.
Maurer, C.R., Hill, D.L.G., Martin, A.J., Liu, H.Y., McCue, M., Rueckert, D., ...Hawkes, D.J. (1998). Investigation of intraoperative brain deformation using a 1.5-t interventional MR system: Preliminary results. IEEE TRANSACTIONS ON MEDICAL IMAGING, 17 (5), 817-825. doi:10.1109/42.736050
Maurer, C.R., Jr, H., D L, M., A J, L., H, M., M, R., ...R E, H. (1998). Investigation of intraoperative brain deformation using a 1.5-T interventional MR system: preliminary results. IEEE TRANS MED IMAGING, 17 (278-0062 (Print), 5), 817-825.
Lester, H., Arridge, S.R. (1998). Nonlinear registration using a fluid model with variable viscosity. NeuroImage, 7 (4 PART II), doi:10.1016/s1053-8119(18)31569-6
Rueckert, D., Hayes, C., Studholme, C., Summers, P., Leach, M., Hawkes, D.J. (1998). Non-rigid registration of breast MR images using mutual information.
(1998). Non-uniqueness in diffusion-based optical tomography. Optics Letters, 23 882-884.
Hill, D.L.G., Simmons, A., Smith, A.D.C., Maurer, C.R., Cox, T.C.S., Elwes, R., ...Polkey, C.E. (1998). Pitfalls in comparing functional magnetic resonance imaging and invasive electrophysiology recordings.
Smith, A.D.C., Hill, D.L.G., Hawkes, D.J., Polkey, C.E., Cox, T.C.S. (1998). Surface simplification for shape measurement - application to the human brain..

1997

Okada, E., Firbank, M., Schweiger, M., Arridge, S.R., Cope, M., Delpy, D.T. (1997). A Theoretical and Experimental Investigation of Near Infrared Light Propagation in a Model of the Adult Head. Applied Optics, 36 (1), 21-31.
Schnabel, J.A., Arridge, S.R. (1997). Active Shape Focusing.
Strasters, K.C., Little, J.A., Buurman, J., Hill, D.L.G., Hawkes, D.J. (1997). Anatomical landmark image registration: Validation and comparison.
Studholme, C., Hill, D.L., Hawkes, D.J. (1997). Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. MED PHYS, 24 (094-2405 (Print), 1), 25-35.
Thomas, D.G.T., Dorward, N.L., Kingsley, D., Kitchen, N.D., Palmer, J.D., Alberti, O., ...Dijkstra, A. (1997). Clinical experience with the EasyGuide Neuro navigation system.
Lester, H., Arridge, S.R. (1997). Combining Fluid Deformations and Sline Warps: Fully Automatic Non-Linear Registration witha Large Number of Landmarks.
West, J., Fitzpatrick, J.M., Wang, M.Y., Dawant, B.M., Maurer, C.R., Jr, K., ...D, C. (1997). Comparison and evaluation of retrospective intermodality brain image registration techniques. J COMPUT ASSIST TOMOGR, 21 (363-8715 (Print), 4), 554-566.
West, J., Fitzpatrick, J.M., Wang, M.Y., Dawant, B.M., Maurer, C.R., Kessler, R.M., ...Collignon, A. (1997). Comparison and evaluation of retrospective intermodality brain image registration techniques.
Edwards, P.J., Hill, D.L.G., Little, J.A., Hawkes, D.J. (1997). Deformation for image guided interventions using a three component tissue model.
Little, J.A., Hill, D.L.G., Hawkes, D.J. (1997). Deformations incorporating rigid structures .. Computer Vision Image Understanding, 66 (2), 223-232.
Schweiger, M., Arridge, S.R. (1997). Direct calculation with a finite-element method of the Laplace transform of the distribution of photon time of flight in tissue. APPL OPT ,, 36 (34), 9042-9049.
Wong, J.C., Studholme, C., Hawkes, D.J., Maisey, M.N. (1997). Evaluation of the limits of visual detection of image misregistration in a brain fluorine-18 fluorodeoxyglucose PET-MRI study. EUR J NUCL MED, 24 (340-6997 (Print), 6), 642-650.
Wong, J.C.H., Studholme, C., Hawkes, D.J., Maisey, M.N. (1997). Evaluation of the limits of visual detection of image misregistration in a brain fluorine-18 fluorodeoxyglucose PET-MRI study. European Journal of Nuclear Medicine, 24 (6), 642-650. doi:10.1007/s002590050099
Hill, D.L.G., Langsaeter, L.A., Poynter-Smith, P.N., Emery, C.L., Summers, P.E., Keevil, S.F., ...Gleeson, M.J. (1997). Feasibility study of magnetic resonance imaging-guided intranasal flexible microendoscopy. Computer Aided Surgery, 2 (5), 264-275. doi:10.1002/(SICI)1097-0150(1997)2:5<264::AID-IGS2>3.0.CO;2-Y
Hill, D.L., Langsaeter, L.A., Poynter-Smith, P.N., Emery, C.L., Summers, P.E., Keevil, S.F., ...Gleeson, M.J. (1997). Feasibility study of magnetic resonance imaging-guided intranasal flexible microendoscopy. COMPUT AIDED SURG, 2 (092-9088 (Print), 5), 264-275.
Hill, D.L., Langsaeter, L.A., Poynter-Smith, P.N., Emery, C.L., Summers, P.E., Keevil, S.F., ...Gleeson, M.J. (1997). Feasibility study of magnetic resonance imaging-guided intranasal flexible microendoscopy.. Computer aided surgery : official journal of the International Society for Computer Aided Surgery, 2 (5), 264-275. doi:10.1002/(sici)1097-0150(1997)2:5<264::aid-igs2>3.0.co;2-y
Arridge, S.R., Schweiger, M. (1997). Image reconstruction in optical tomography. Philosophical Transactions of the Royal Society B: Biological Sciences, 352 (1354), 717-726.
Hebden, J., Arridge, S.R. (1997). Imaging through Scattering Media by the Use of an Analytical Model of Perturbation Amplitudes in the Time Domain. Applied Optics, 35 (34), 6788-6796.
Alexander, D.C., Buxton, B.F. (1997). Implementational Improvements for Active Region Models.
Alexander, D.C., Buxton, B. (1997). Modelling of Single Mode Distributions of Colour Data Using Directional Statistics.
Summers, P.E., Bhalerao, A.H., Hawkes, D.J. (1997). Multiresolution, model-based segmentation of MR angiograms. J MAGN RESON IMAGING, 7 (053-1807 (Print), 6), 950-957.
Schnabel, J.A., Arridge, S.R. (1997). Multi-Scale Active Shape Description.
Schnabel, J.A., Arridge, S.R. (1997). Multi-scale active shape description.
Schnabel, J.A., Arridge, S.R. (1997). Multi-Scale Shape Description in Medical Imaging.
Arridge, S.R., Simmons, A. (1997). Multi-spectral probabilistic diffusion using Bayesian classification.
Arridge, S.R., Simmons, A. (1997). Multi-Spectral Probabilistic Diffusion Using Baysian Classification.
Hebden, J., Arridge, S.R., Delpy, D.T. (1997). Optical Imaging in Medicine 1: Experimental Technigues. Physics in Medicine and Biology, 42 (5), 825-840.
Arridge, S.R., Hebden, J.C. (1997). Optical imaging in Medicine II: Modelling and Reconstruction. Physics in Medicine and Biology, 42 (5), 841-853.
Schweiger, M., Arridge, S.R. (1997). Optimal data types in optical tomography. Information Processing in Medical Imaging (IPM'97 Proceedings)Lecture notes in Computer Science, 1230 71-84.
Kwee, I.W., Tanikawa, Y., Proskurin, S., Arridge, S.R., Delpy, D.T., Yamada, Y. (1997). Performance of a nullspace-MAP image reconstruction algorithm. PROC S P I E, (2979), 185-196.
Lester, H., Arridge, S.R. (1997). Reducing the Blurring Effects of Successive Regridding in the Fluid Warp.
Lester, H., Arridge, S.R. (1997). Summarising Fluid Registration by Thin-Plate Spline Warps with Many Landmarks.
Schweiger, M., Arridge, S.R. (1997). The finite element method for the propagation of light in scattering media: Frequency domain case. MED PHYS ,, 24 (6), 895-902.
Little, J.A., Hawkes, D.J. (1997). The registration of multiple medical images acquired from a single subject: Why, how, what next?. Statistical Methods in Medical Research, 6 (3), 239-265. doi:10.1177/096228029700600304
Little, J.A., Hawkes, D.J. (1997). The registration of multiple medical images acquired from a single subject: why, how, what next?. STAT METHODS MED RES, 6 (962-2802 (Print), 3), 239-265.
Okada, E., Firbank, M., Schweiger, M., Arridge, S.R., Cope, M., Delpy, D.T. (1997). Theoretical and experimental investigation of near-infrared light propagation in a model of the adult head. Applied Optics, (36 (1)), 21-31.
Edwards, P.J., Hawkes, D.J., Hill, D., Jewell, D., Spink, R., Clmndra, S., ...Gleeson, M.J. (1997). Three dimensional image injection in the binocular operating microscope. Skull Base Surgery, 7 (SUPPL. 2), 55-.
Weese, J., Penney, G.P., Desmedt, P., Buzug, T.M., Hill, D.L., Hawkes, D.J. (1997). Voxel-based 2-D/3-D registration of fluoroscopy images and CT scans for image-guided surgery. IEEE TRANS INF TECHNOL BIOMED, 1 (089-7771 (Print), 4), 284-293.
Weese, J., Penney, G.P., Desmedt, P., Buzug, T.M., Hill, D.L.G., Hawkes, D.J. (1997). Voxel-Based 2-D/3-D registration of fluoroscopy images and CT scans for image-guided surgery. IEEE Transactions on Information Technology in Biomedicine, 1 (4), 284-293. doi:10.1109/4233.681173

1996

Gleeson, M.J., Hill, D.L., Hawkes, D.J., Cox, T.C., Ruff, C., Studholme, C., ...Strong, A. (1996). 3-D imaging for skull base surgery.
Schnabel, J.A., Arridge, S.R. (1996). A multi-scale shape description tool for 3D MR brain images.
Alexander, D.C., Buxton, B.F. (1996). An evaluation of physically based statistical colour models for image region characterisation.
Studholme, C., Hill, D.L., Hawkes, D.J. (1996). Automated 3-D registration of MR and CT images of the head. MED IMAGE ANAL, 1 (361-8415 (Print), 2), 163-175.
Studholme, C., Little, J.A., Penny, G.P., Hill, D.L.G., Hawkes, D.J. (1996). Automated multimodality registration using the full affine transformation: Application to MR and CT guided skull base surgery.
Thomas, D.G.T., Doshi, P., Colchester, A., Hawkes, D.J., Hill, D.L.C., Zhao, J., ...Evans, R.I. (1996). Craniotomy guidance using a stereo-video-based tracking system.
Thomas, D.G., Doshi, P., Colchester, A., Hawkes, D.J., Hill, D.L., Zhao, J., ...Evans, R.I. (1996). Craniotomy guidance using a stereo-video-based tracking system. STEREOTACT FUNCT NEUROSURG, 66 (011-6125 (Print), 1-3), 81-83.
Little, J.A., Hill, D.L.G., Hawkes, D.J. (1996). Deformations incorporating rigid structures.
Okada, E., Schweiger, M., Arridge, S.R., Firbank, M., Delpy, D.T. (1996). Experimental Verification of Monte Carlo and Finite Element Methods for the estimation of the optical pathlength in inhomogeneous tissue. Applied Optics, 35 (19), 3362-3371.
Studholme, C., Hill, D.L.G., Hawkes, D.J., I.E.E.E. (1996). Incorporating connected region labelling into automated image registration using mutual information.
Buxton, B.F., Alexander, D.C. (1996). Making the most of your image: colour and statistics.
Bladin, C.F., Colchester, A.C., Hawkes, D.J., Seifalian, A.M., Iqbal, N., Hardingham, C.R. (1996). Morphological and hemodynamic assessments of carotid stenosis using quantitative digital subtraction angiography. STROKE, 27 (039-2499 (Print), 9), 1672-1678.
Hill, D.L.G., Smith, P.N.P., Emery, C.L., Summers, P.E., Keevil, S.F., Pracy, J.P.M., ...Gleeson, M.J. (1996). MRI guided intranasal flexible micro-endoscopy.
Hill, D.L.G., Poynter Smith, P.N., Emery, C.L., Summers, P.E., Keevil, S.F., Pracy, J.P.M., ...Gleeson, M.J. (1996). MRI guided intranasal flexible micro-endoscopy.
Schnabel, J.A., Arridge, S.R. (1996). Multiscale shape description of MR brain images using active contour models.
Kwee, I.W., Tanikawa, Y., Proskurin, S.G., Arridge, S.R., Delpy, D.T., Yamada, Y. (1996). Null space regularization and MAP reconstruction in the ill-posed inverse imaging problem. Proceedings of SPIE, 2925 43-54.
Alexander, D.C., Buxton, B.F. (1996). Physically based statistical colour models for image region characterisation.
Schnabel, J.A., Wang, L.Q., Arridge, S.R. (1996). Shape description of spinal cord atrophy in patients with MS.
Simmons, A., Arridge, S.R., Barker, G.J., Williams, S.C.R. (1996). Simulation of MRI cluster plots and application to neurological segmentation. Magnetic Resonance Imaging, 14 (1), 73-92. doi:10.1016/0730-725X(95)02040-Z
Wong, W.L., Hussain, K., Chevretton, E., Hawkes, D.J., Baddeley, H., Maisey, M., McGurk, M. (1996). Validation and clinical application of computer-combined computed tomography and positron emission tomography with 2-[18F]fluoro-2-deoxy-D-glucose head and neck images. AM J SURG, 172 (002-9610 (Print), 6), 628-632.

1995

HAWKES, D.J., RUFF, C.F., HILL, D.L.G., STUDHOLME, C., EDWARDS, P.J., WONG, W.L., PADHANI, A. (1995). 3-DIMENSIONAL MULTIMODAL IMAGING IN IMAGE-GUIDED INTERVENTIONS. SEMINARS IN INTERVENTIONAL RADIOLOGY, 12 (1), 63-74. doi:10.1055/s-2008-1061314
Schnabel, J.A., Arridge, S.R. (1995). Active contour models for shape description using multiscale differential invariants.
Schnabel, J.A., Arridge, S.R. (1995). Active Contour Models for Shape Description using Multiscale Differential Invariants..
Edwards, P.J., Hawkes, D.J., Hill, D.L., Jewell, D., Spink, R., Strong, A., Gleeson, M. (1995). Augmentation of reality using an operating microscope for otolaryngology and neurosurgical guidance. J IMAGE GUID SURG, 1 (078-7844 (Print), 3), 172-178.
Edwards, P.J., Hawkes, D.J., Hill, D.L.G., Jewell, D., Spink, R., Strong, A., Gleeson, M. (1995). Augmentation of reality using an operating microscope for otolaryngology and neurosurgical guidance. Computer Aided Surgery, 1 (3), 172-178. doi:10.3109/10929089509105692
Edwards, P.J., Hawkes, D.J., Hill, D.L.G., Jewell, D., Spink, R., Strong, A., Gleeson, M. (1995). Augmentation of reality using an operating microscope for otolaryngology and neurosurgical guidance. Computer Aided Surgery, 1 (3), 172-178. doi:10.3109/10929089509105692
Edwards, P.J., Hawkes, D.J., Hill, D.L., Jewell, D., Spink, R., Strong, A., Gleeson, M. (1995). Augmentation of reality using an operating microscope for otolaryngology and neurosurgical guidance.. Journal of image guided surgery, 1 (3), 172-178. doi:10.1002/(sici)1522-712x(1995)1:3<172::aid-igs7>3.0.co;2-7
Arridge, S.R., Schweiger, M. (1995). Direct calculation of the moments of the distribution of photon time-of-flight in tissue with a finite-element method.. Applied Optics, 34 (15), 2683-2687.
Okada, E., Firbank, M., Schweiger, M., Arridge, S.R., Hebden, J.C., Hiraoka, M., Delpy, D.T. (1995). Experimental measurements on phantoms and Monte Carlo simulation to evaluate the effect of inhomogeneity on optical pathlength. Proceedings of SPIE, 2389 174-181.
SCHNABEL, J., WANG, L.Q., RUECKERT, D., ARRIDGE, S. (1995). Fractal feature analysis and classification of MS lesions.
Hawkes, D.J. (1995). Imaging requirements for image guided interventions.
Edwards, P.J., Hill, D.L.G., Little, J.A., Sahni, V.A.S., Hawkes, D.J. (1995). Medical image registration incorporating deformations.
ARRIDGE, S.R., HIRAOKA, M., SCHWEIGER, M. (1995). Modelling of noise for near-infrared transillumination imaging.
SCHWEIGER, M., ARRIDGE, S.R. (1995). Near-infrared imaging: Photon measurement density functions.
Edwardsl, P.J., Hill, D., Hawkes, D.J., Spink, R., Colchester, A., Strong, A. (1995). Neurosurgical guidance using the stereo microscope.
Arridge, S.R. (1995). Photon-measurement density-functions I: Analytical forms.. Applied Optics, 34 (31), 7395-7409.
ARRIDGE, S.R., SCHWEIGER, M. (1995). Reconstruction in optical tomography using MRI based prior knowledge.
Henri, C.J., Colchester, A.C.F., Zhao, J., Hawkes, D.J., Hill, D.L.G., Evans, R.L. (1995). Registration of 3-D surface data for intra-operative guidance and visualization in frameless stereotactic neurosurgery.
ARRIDGE, S.R., SCHWEIGER, M. (1995). Sensitivity to prior knowledge in optical tomographic reconstruction.
SIMMONS, A., ARRIDGE, S.R., BARKER, G.J. (1995). Simulation of MRI cluster plots.
Arridge, S.R., Hiraoka, M., Schweiger, M. (1995). Statistical basis for the determination of optical pathlength in tissue.. Physics in Medicine and Biology, 40 (9), 1539-1558.
Schweiger, M., Arridge, S.R., Hiraoka, M., Delpy, D.T. (1995). The finite element method for the propagation of light in scattering media: boundary and source conditions.. Medical Physics, 22 (11), 1779-1792.
Okada, E., Firbank, M., Schweiger, M., Arridge, S.R., Cope, M., Delpy, D.T. (1995). Theoretical and experimental investigation of the effect of sulci on light propagation in brain tissue. Proceedings of SPIE, 2626 2-8.
Zhao, J., Colchester, A.C.F., Henri, C.J., Hawkes, D., Ruff, C. (1995). Visualisation of multimodal images for neurosurgical planning and guidance.

1994

Simmons, A., Barker, G.J., Tofts, P.S., Gass, A., Arridge, S.R. (1994). A method for visualization of MRI partial volume regions--PAIR (PArtial volume sensitised Inversion Recovery imaging).. Magnetic Resonance Imaging, 12 (5), 821-826. doi:10.1016/0730-725X(94)92207-1
Hill, D.L., Hawkes, D.J., Gleeson, M.J., Cox, T.C., Strong, A.J., Wong, W.L., ...Sofat, A. (1994). Accurate frameless registration of MR and CT images of the head: applications in planning surgery and radiation therapy.. Radiology, 191 (2), 447-454.
Schweiger, M., Arridge, S.R. (1994). Application of a finite element model in near infra-red spectroscopy and imaging.
Schweiger, M., Arridge, S.R. (1994). Application of a finite element model in near infra-red spectroscopy and imaging.
GANDHE, A.J., HILL, D.L.G., STUDHOLME, C., HAWKES, D.J., RUFF, C.F., COX, T.C.S., ...STRONG, A.J. (1994). COMBINED AND 3-DIMENSIONAL RENDERED MULTIMODAL DATA FOR PLANNING CRANIAL BASE SURGERY - A PROSPECTIVE EVALUATION. NEUROSURGERY, 35 (3), 463-470. doi:10.1227/00006123-199409000-00015
Gandhe, A.J., Hill, D.L., Studholme, C., Hawkes, D.J., Ruff, C.F., Cox, T.C., ...Strong, A.J. (1994). Combined and three-dimensional rendered multimodal data for planning cranial base surgery: a prospective evaluation. NEUROSURGERY, 35 (148-396X (Print), 3), 463-470.
COLCHESTER, A.C.F., ZHAO, J., HENRI, C., EVANS, R.L., ROBERTS, P., MAITLAND, N., ...THOMAS, D.G. (1994). CRANIOTOMY SIMULATION AND GUIDANCE USING A STEREO VIDEO-BASED TRACKING SYSTEM.
Simmons, A., Arridge, S.R., Barker, G.J., Cluckie, A.J., Tofts, P.S. (1994). Improvements to the quality of MRI cluster analysis. Magnetic Resonance Imaging, 12 (8), 1191-1204.
Hill, D.L.G., Hawkes, D.J. (1994). Medical image registration using knowledge of adjacency of anatomical structures.. Image and Vision Computing, 12 173-178.
Hill, D.L.G., Hawkes, D.J. (1994). Medical Image Registration using Voxel Similarity Measures.
Simmons, A., Tofts, P.S., Barker, G.J., Arridge, S.R. (1994). Sources of intensity non-uniformity in spin echo images at 1.5T. Magnetic Resonance in Medicine, 32 (1), 1191-1204.
SIMMONS, A., TOFTS, P.S., BARKER, G.J., ARRIDGE, S.R. (1994). SOURCES OF INTENSITY NONUNIFORMITY IN SPIN-ECHO IMAGES AT 1.5-T. MAGNETIC RESONANCE IN MEDICINE, 32 (1), 121-128. doi:10.1002/mrm.1910320117
STUDHOLME, C., HILL, D.L.G., HAWKES, D.J. (1994). USING VOXEL SIMILARITY AS A MEASURE OF MEDICAL IMAGE REGISTRATION.
Hawkes, D.J., Seifalian, A.M., Colchester, A.C., Iqbal, N., Hardingham, C.R., Bladin, C.F., Hobbs, K.E. (1994). Validation of volume blood flow measurements using three-dimensional distance-concentration functions derived from digital x-ray angiograms. INVEST RADIOL, 29 (020-9996 (Print), 4), 434-442.
Hawkes, D.J., Seifalian, A.M., Colchester, A.C.F., Iqbal, N., Hardingham, C.R., Bladin, C.F., Hobbs, K.E.F. (1994). Validation of volume blood flow measurements using three-dimensional distance-concentration functions derived from digital x-ray angiograms. Investigative Radiology, 29 (4), 434-442. doi:10.1097/00004424-199404000-00009
Colchester, A.C.F., Evans, R.L., Zhao, J., Hawkes, D.J., Studholme, C., Hill, D.L.G., ...Strong, A.J. (1994). VISLAN: Combining Intra-Operative Video and Pre-Operative Images for Surgical Guidance.
HILL, D.L.G., STUDHOLME, C., HAWKES, D.J. (1994). VOXEL SIMILARITY MEASURES FOR AUTOMATED IMAGE REGISTRATION.

1993

Arridge, S.R., Schweiger, M., Hiraoka, M., Delpy, D.T. (1993). A finite element approach for modelling photon transport in tissue.. Medical Physics, 20 299-309.
Hiraoka, M., Firbank, M., Essenpreis, M., Cope, M., Arridge, S.R., van der Zee, P., Delpy, D.T. (1993). A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy.. Physics in Medicine and Biology, 38 1859-1876.
Hill, D., Hawkes, D., Harrison, N., Ruff, C. (1993). A strategy for automated multimodality image registration incorporating anatomical knowledge and imager characteristics. Lecture Notes In Computer Science, 687 182-196.
Hill, D.L.G., Hawkes, D.J., Hussain, Z., Green, S.E.M., Ruff, C.F., Robinson, G.P. (1993). Accurate combination of CT and MR data of the head: Validation and applications in surgical and therapy planning.. Computerized Medical Imaging, 17 357-362.
Schweiger, M., Arridge, S.R., Delpy, D.T. (1993). Application of the finite element method for the forward and inverse models in optical tomography.. Journal of Mathematical Imaging and Vision, 3 263-283.
SCHWEIGER, M., ARRIDGE, S.R., HIRAOKA, M., FIRBANK, M., DELPY, D.T. (1993). COMPARISON OF A FINITE-ELEMENT FORWARD MODEL WITH EXPERIMENTAL PHANTOM RESULTS - APPLICATION TO IMAGE-RECONSTRUCTION.
Schweiger, M., Arridge, S.R., Hiraoka, M., Firbank, M., Delpy, D.T. (1993). Comparison of a finite-element forward model with experimental phantom results: application to image reconstruction. Proceedings of SPIE, 1888 179-190.
HEBDEN, J., DELPY, D., ARRIDGE, S. (1993). INFRARED-LASERS MUSCLE IN ON MEDICAL IMAGING. PHYSICS WORLD, 6 (8), 23-24. doi:10.1088/2058-7058/6/8/22
Arridge, S.R., Schweiger, M. (1993). Inverse Methods for Optical Tomography..
Arridge, S.R., Kaschke, M. (1993). Modeling of light propagation and image formation.
Hiraoka, M., Firbank, M., Essenpreis, M., Cope, M., Arridge, S.R., van der Zee, P., Delpy, D.T. (1993). Monte Carlo simulation of light transport through inhomogeneous tissue. 1888 149-159.
Arridge, S.R., Schweiger, M., Hiraoka, M., Delpy, D.T. (1993). Performance of an iterative reconstruction algorithm for near-infrared absorption and scatter imaging. Proceedings of SPIE, (1888), 360-371.
ESSENPREIS, M., ELWELL, C.E., COPE, M., VANDERZEE, P., ARRIDGE, S.R., DELPY, D.T. (1993). SPECTRAL DEPENDENCE OF TEMPORAL POINT SPREAD FUNCTIONS IN HUMAN TISSUES. APPLIED OPTICS, 32 (4), 418-425. doi:10.1364/AO.32.000418
Arridge, S.R. (1993). The Forward and Inverse Problems in Time Resolved Infra -Red Imaging.
Arridge, S.R., Schweiger, M. (1993). The use of multiple data types in time-resolved Optical Absorption and Scattering Tomography (TOAST).
ARRIDGE, S.R., SCHWEIGER, M. (1993). THE USE OF MULTIPLE DATA-TYPES IN TIME-RESOLVED OPTICAL-ABSORPTION AND SCATTERING TOMOGRAPHY (TOAST).
Neelin, P., Crossman, J., Hawkes, D.J., Ma, Y., Evans, A.C. (1993). Validation of an MRI/PET landmark registration method using 3D simulated PET images and point simulations. COMPUT MED IMAGING GRAPH, 17 (895-6111 (Print), 4-5), 351-356.
NEELIN, P., CROSSMAN, J., HAWKES, D.J., MA, Y., EVANS, A.C. (1993). VALIDATION OF AN MRI/PET LANDMARK REGISTRATION METHOD USING 3D SIMULATED PET IMAGES AND POINT SIMULATIONS. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 17 (4-5), 351-356. doi:10.1016/0895-6111(93)90028-L
Essenpreis, M., Cope, M., Elwell, C., Arridge, S., van der Zee, P., Delpy, D. (1993). Wavelength dependence of the differential pathlength factor and the log slope in time-resolved tissue spectroscopy.

1992

Colchester, A., Seifalian, A., Hawkes, D., Brunt, J., Wicks, D., du Boulay, G., Hobbs, K. (1992). Analysis of the variation of the distance-density curves with time as a way of extracting flow information from digital angiograms.. Investigative Radiology, 27 (3), 274-.
Schweiger, M., Arridge, S.R., Hiraoka, M., Delpy, D.T. (1992). Application of the finite element method for the forward model in infrared absorption imaging. Proceedings of SPIE, 1768 97-108.
Colchester, A., Seifalian, A., Hawkes, D., Brunt, J., Wicks, D., du Boulay, G., Hobbs, K. (1992). Correspondence. Investigative Radiology, 27 (3), 274-. doi:10.1097/00004424-199203000-00023
COLCHESTER, A., SEIFALIAN, A., HAWKES, D., BRUNT, J., WICKS, D., DUBOULAY, G., HOBBS, K. (1992). DETERMINATION OF INSTANTANEOUS AND AVERAGE BLOOD-FLOW RATES FROM DIGITAL ANGIOGRAMS OF VESSEL PHANTOMS USING DISTANCE-DENSITY CURVES. INVESTIGATIVE RADIOLOGY, 27 (3), 274. doi:10.1097/00004424-199203000-00023
Rosin, P.L., Colchester, A.C.F., Hawkes, D.J. (1992). Early image representation using regions defined by maximum gradient paths between singular points. Pattern Recognition, 25 (7), 695-711. doi:10.1016/0031-3203(92)90133-4
VANDERZEE, P., COPE, M., ARRIDGE, S.R., ESSENPREIS, M., POTTER, L.A., EDWARDS, A.D., ...REYNOLDS, E.O.R. (1992). EXPERIMENTALLY MEASURED OPTICAL PATHLENGTHS FOR THE ADULT HEAD, CALF AND FOREARM AND THE HEAD OF THE NEWBORN-INFANT AS A FUNCTION OF INTER OPTODE SPACING.
Colchester, A.C.F., Hawkes, D.J. (1992). Information processing in medical imaging. Image and Vision Computing, 10 (6), 331-. doi:10.1016/0262-8856(92)90018-x
Arridge, S.R., Schweiger, M., Delpy, D.T. (1992). Iterative reconstruction of near-infrared absorption images. Proceedings of SPIE, 1767 372-383.
HAWKES, D.J., HARDINGHAM, C.R., SEIFALIAN, A.M., VIRDEE, M., COLCHESTER, A.C.F. (1992). RECENT ADVANCES IN EXTRACTING QUANTITATIVE INFORMATION FROM X-RAY ANGIOGRAPHIC DATA.
SIMMONS, A., ARRIDGE, S.R., BARKER, G.J., TOFTS, P.S. (1992). SEGMENTATION OF NEUROANATOMY IN MAGNETIC-RESONANCE IMAGES.
Maisey, M.N., Hawkes, D.J., Lukawiecki-Vydelingum, A.M. (1992). Synergistic imaging. European Journal of Nuclear Medicine, 19 (12), 1002-1005. doi:10.1007/BF00180859
Maisey, M.N., Hawkes, D.J., Lukawieck-Vydelingum, A.M. (1992). Synergistic imaging. EUR J NUCL MED, 19 (340-6997 (Print), 12), 1002-1005.
Brunt, J.N., Wicks, D.A., Hawkes, D.J., Seifalian, A.M., du Boulay, G.H., Colchester, A.F., Wallis, A. (1992). The measurement of blood flow waveforms from X-ray angiography. Part 1: Principles of the method and preliminary validation. PROC INST MECH ENG [H ], 206 (954-4119 (Print), 2), 73-85.
Arridge, S.R., Cope, M., Delpy, D.T. (1992). The theoretical basis for the determination of optical pathlengths in tissue: temporal and frequency analysis.. Physics in Medicine and Biology, 37 (7), 1531-1560.
HILL, D.L.G., GREEN, S.E.M., CROSSMAN, J.E., HAWKES, D.J., ROBINSON, G.P., RUFF, C.F., ...GLEESON, M.J. (1992). VISUALIZATION OF MULTIMODAL IMAGES FOR THE PLANNING OF SKULL BASE SURGERY.
SEIFALIAN, A.M., HAWKES, D.J., BLADIN, C.F., HARDINGHAM, C.R., IQBAL, N., COLCHESTER, A.C.F., HOBBS, K.E.F. (1992). VOLUME BLOOD-FLOW WAVE-FORMS MEASUREMENTS FROM QUANTITATIVE X-RAY ANGIOGRAPHIC DATA WITH AID OF 3-DIMENSIONAL RECONSTRUCTIONS.

1991

Lynch, J.A., Hawkes, D.J., Buckland-Wright, J.C. (1991). A robust and accurate method for calculating the fractal signature of texture in macroradiographs of osteoarthritic knees. Informatics for Health and Social Care, 16 (2), 241-251. doi:10.3109/14639239109012130
Lynch, J.A., Hawkes, D.J., Buckland-Wright, J.C. (1991). A robust and accurate method for calculating the fractal signature of texture in macroradiographs of osteoarthritic knees. MED INFORM (LOND), 16 (307-7640 (Print), 2), 241-251.
Lynch, J.A., Hawkes, D.J., Buckland-Wright, J.C. (1991). Analysis of texture in macroradiographs of osteoarthritic knees using the fractal signature. PHYS MED BIOL, 36 (031-9155 (Print), 6), 709-722.
LEHMANN, E.D., HAWKES, D.J., HILL, D.L.G., BIRD, C.F., ROBINSON, G.P., COLCHESTER, A.C.F., MAISEY, M.N. (1991). COMPUTER-AIDED INTERPRETATION OF SPECT IMAGES OF THE BRAIN USING AN MRI-DERIVED 3D NEUROANATOMICAL ATLAS. MEDICAL INFORMATICS, 16 (2), 151-166. doi:10.3109/14639239109012124
Lehmann, E.D., Hawkes, D.J., Hill, D.L., Bird, C.F., Robinson, G.P., Colchester, A.C., Maisey, M.N. (1991). Computer-aided interpretation of SPECT images of the brain using an MRI-derived 3D neuro-anatomical atlas. MED INFORM (LOND), 16 (307-7640 (Print), 2), 151-166.
Cope, M., van der Zee, P., Essenpreis, M., Arridge, S.R., Delpy, D.T. (1991). Data analysis methods for near-infrared spectroscopy of tissue: problems in determining the relative cytochrome aa3 concentration. Proceedings of SPIE, 1431 251-262.
Rosin, P.L., Colchester, A.C., Hawkes, D.J. (1991). Early visual representation using regions defined by maximum gradient profiles between singular points.. Progress in clinical and biological research, 363 369-387.
Hawkes, D.J., Hardingham, C.R., Colchester, A.C. (1991). Matching of geometric models in the analysis of lumen shape in digital X-ray angiography. PROG CLIN BIOL RES, 363 (361-7742 (Print)), 341-353.
Seifalian, A.M., Stansby, G.P., Hobbs, K.E., Hawkes, D.J., Colchester, A.C. (1991). Measurement of liver blood flow: a review. HPB SURG, 4 (894-8569 (Print), 3), 171-186.
Colchester, A.C.F., Hawkes, D.J. (1991). Preface. .
Arridge, S.R., van der Zee, P., Cope, M., Delpy, D.T. (1991). Reconstruction methods for infrared absorption imaging. Proceedings of SPIE, 1431 204-215.
Hawkes, D.J., Robinson, L., Crossman, J.E., Sayman, H.B., Mistry, R., Maisey, M.N., Spencer, J.D. (1991). Registration and display of the combined bone scan and radiograph in the diagnosis and management of wrist injuries. EUR J NUCL MED, 18 (340-6997 (Print), 9), 752-756.
Hawkes, D.J., Robinson, L., Crossman, J.E., Sayman, H.B., Mistry, R., Maisey, M.N., Spencer, J.D. (1991). Registration and display of the combined bone scan and radiograph in the diagnosis and management of wrist injuries. European Journal of Nuclear Medicine, 18 (9), 752-756. doi:10.1007/BF00173434
Hill, D.L., Hawkes, D.J., Crossman, J.E., Gleeson, M.J., Cox, T.C., Bracey, E.E., ...Graves, P. (1991). Registration of MR and CT images for skull base surgery using point-like anatomical features. BR J RADIOL, 64 (007-1285 (Print), 767), 1030-1035.
Hill, D.L., Hawkes, D.J., Crossman, J.E., Gleeson, M.J., Cox, T.C., Bracey, E.E., ...Graves, P. (1991). Registration of MR and CT images for skull base surgery using point-like anatomical features.. BRITISH JOURNAL OF RADIOLOGY, 64 (767), 1030-1035. doi:10.1259/0007-1285-64-767-1030
Hill, D.L.G., Hawkes, D.J., Hardingham, C.R. (1991). Use of anatomical knowledge to register 3d blood vessel data derived from DSA with MR images.
Seifalian, A.M., Hawkes, D.J., Hardingham, C.R., Colchester, A.C., Reidy, J.F. (1991). Validation of a quantitative radiographic technique to estimate pulsatile blood flow waveforms using digital subtraction angiographic data. J BIOMED ENG, 13 (141-5425 (Print), 3), 225-233.

1990

ARRIDGE, S.R., LINNEY, A.D. (1990). INTERACTIVE OBJECT DISSECTION USING AN ARBITRARY VOLUME MASK.
ARRIDGE, S.R. (1990). MANIPULATION OF VOLUME DATA FOR SURGICAL SIMULATION.
WYATT, J.S., COPE, M., DELPY, D.T., VANDERZEE, P., ARRIDGE, S., EDWARDS, A.D., REYNOLDS, E.O.R. (1990). MEASUREMENT OF OPTICAL-PATH LENGTH FOR CEREBRAL NEAR-INFRARED SPECTROSCOPY IN NEWBORN-INFANTS. DEVELOPMENTAL NEUROSCIENCE, 12 (2), 140-144. doi:10.1159/000111843
Arridge, S.R., Van der Zee, P., Cope, M., Delpy, D.T. (1990). New results for the development of infrared absorption imaging. BIOMEDICAL IMAGE PROCESSING, PROC SPIE, 1245 91-103.
ARRIDGE, S.R., VANDERZEE, P., COPE, M., DELPY, D.T. (1990). NEW RESULTS FOR THE DEVELOPMENT OF INFRARED-ABSORPTION IMAGING.
Hill, D.L.G., Hawkes, D.J., Lehmann, E.D., Crossman, J.E., Robinson, L., Bird, C.F., Maisey, M.N. (1990). Registered high resolution images in the interpretation of radionuclide scans.
VANDERZEE, P., ARRIDGE, S.R., COPE, M., DELPY, D.T. (1990). THE EFFECT OF OPTODE POSITIONING ON OPTICAL PATHLENGTH IN NEAR-INFRARED SPECTROSCOPY OF BRAIN.

1989

LINNEY, A.D., GRINDROD, S.R., ARRIDGE, S.R., MOSS, J.P. (1989). 3-DIMENSIONAL VISUALIZATION OF COMPUTERIZED-TOMOGRAPHY AND LASER SCAN DATA FOR THE SIMULATION OF MAXILLO-FACIAL SURGERY. MEDICAL INFORMATICS, 14 (2), 109-121. doi:10.3109/14639238908994984
Seifalian, A.M., Hawkes, D.J., Colchester, A.C., Hobbs, K.E. (1989). A new algorithm for deriving pulsatile blood flow waveforms tested using stimulated dynamic angiographic data. NEURORADIOLOGY, 31 (028-3940 (Print), 3), 263-269.
Arridge, S.R., van der Zee, P., Delpy, D.T., Cope, M. (1989). Particle sizing in the Mie scattering region: singular value analysis.. Inverse Problems, 5 671-689.
Delpy, D.T., Arridge, S.R., Cope, M., Edwards, D., Reynolds, E.O., Richardson, C.E., ...van der Zee, P. (1989). Quantitation of pathlength in optical spectroscopy.. Advances in experimental medicine and biology, 248 41-46. doi:10.1007/978-1-4684-5643-1_5
ARRIDGE, S.R., GRINDROD, S.R., LINNEY, A.D., TOFTS, P.S., WICKS, D. (1989). USING GREYSCALE VOXEL DATABASES FOR IMPROVED SHADING AND SEGMENTATION. MEDICAL INFORMATICS, 14 (2), 157-171. doi:10.3109/14639238908994988
Arridge, S.R., Grindrod, S.R., Linney, A.D., Wicks, D., Tofts, P.S. (1989). Using greyscale voxel databases for improved shading and segmentation. Medical Informatics, 14 (4), 267-.

1988

MOSS, J.P., GRINDROD, S.R., LINNEY, A.D., ARRIDGE, S.R., JAMES, D. (1988). A COMPUTER-SYSTEM FOR THE INTERACTIVE PLANNING AND PREDICTION OF MAXILLOFACIAL SURGERY. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 94 (6), 469-475. doi:10.1016/0889-5406(88)90004-2
SEIFALIAN, A.M., HAWKES, D.J., COLCHESTER, A.C.F., HOBBS, K.E.F. (1988). COMPARISON OF PROCESSING TECHNIQUES FOR MEASUREMENT OF INTRAVASCULAR BLOOD-FLOW FROM SIMULATED DYNAMIC ANGIOGRAPHIC IMAGES. BRITISH JOURNAL OF RADIOLOGY, 61 (728), 721.
Delpy, D.T., Cope, M., van der Zee, P., Arridge, S., Wray, S., Wyatt, J. (1988). Estimation of optical pathlength through tissue from direct time of flight measurement.. PHYSICS IN MEDICINE AND BIOLOGY, 33 (12), 1433-1442. doi:10.1088/0031-9155/33/12/008

1987

MOSS, J.P., LINNEY, A.D., GRINDROD, S.R., ARRIDGE, S.R., CLIFTON, J.S. (1987). 3-DIMENSIONAL VISUALIZATION OF THE FACE AND SKULL USING COMPUTERIZED-TOMOGRAPHY AND LASER SCANNING TECHNIQUES. EUROPEAN JOURNAL OF ORTHODONTICS, 9 (4), 247-253.
HAWKES, D.J., FITZGERALD, M., BELLI, A., TILLER, G., STEWART, A. (1987). ACCEPTANCE TESTING AND QUALITY-CONTROL IN DIGITAL FLUOROGRAPHY.
Moss, J.P., Linney, A.D., Grindrod, S.R., Arridge, S.R., Clifton, J.S. (1987). Three-dimensional visualization of the face and skull using computerized tomography and laser scanning techniques. European Journal of Orthodontics, 9 (1), 247-253. doi:10.1093/ejo/9.1.247

1986

MOSS, J.P., LINNEY, A., ARRIDGE, S., HAMMOND, M. (1986). AN INVESTIGATION OF THE METHOD OF USING LASER-BEAMS TO MONITOR THE FACIAL MORPHOLOGY OF SURGICAL PATIENTS.
Hawkes, D.J., Jackson, D.F., Parker, R.P. (1986). Tissue analysis by dual-energy computed tomography. BR J RADIOL, 59 (007-1285 (Print), 702), 537-542.
du Boulay, G.H., Brunt, J., Colchester, A., Hawkes, D., Wallis, A., Wicks, D. (1986). Volume flow measurement of pulsatile flow by digitised cine angiography.. Acta radiologica. Supplementum, 369 59-62.

1985

ARRIDGE, S., MOSS, J.P., LINNEY, A.D., JAMES, D.R. (1985). 3 DIMENSIONAL DIGITIZATION OF THE FACE AND SKULL. JOURNAL OF MAXILLOFACIAL SURGERY, 13 (3), 136-143. doi:10.1016/S0301-0503(85)80034-5
ARRIDGE, S.R., COPE, M., VANDERZEE, P., HILLSON, P.J., DELPHY, D.T. (1985). NEAR-INFRARED TRANS-ILLUMINATION AS A METHOD OF VISUALIZATION AND MEASUREMENT OF THE OXYGENATION STATE OF BRAIN AND MUSCLE IN NEWBORN-INFANTS. JOURNAL OF PHOTOGRAPHIC SCIENCE, 33 (6), 227.

1983

Jackson, D.F., Hawkes, D.J. (1983). Energy dependence in the spectral factor approach to computed tomography. PHYS MED BIOL, 28 (031-9155 (Print), 3), 289-293.

1982

Husband, J.E., Hawkes, D.J., Peckham, M.J. (1982). CT estimations of mean attenuation values and volume in testicular tumors: A comparison with surgical and histologic findings. Radiology, 144 (3), 553-558. doi:10.1148/radiology.144.3.7100471
Husband, J.E., Hawkes, D.J., Peckham, M.J. (1982). CT estimations of mean attenuation values and volume in testicular tumors: a comparison with surgical and histologic findings. RADIOLOGY, 144 (033-8419 (Print), 3), 553-558.

1980

Hawkes, D.J., Jackson, D.F. (1980). An accurate parametrisation of the x-ray attenuation coefficient. PHYS MED BIOL, 25 (031-9155 (Print), 6), 1167-1171.

1900

Pedemonte, S., Bousse, A., Hutton, B.F., Arridge, S., Ourselin, S. (1900). 4-D Generative Model for PET/MRI Reconstruction.
Richardson, S. (1900). A Viable Isolated Tissue System: A Tool for Detailed MR Measurements and Controlled Perturbations in Physiologically Stable Tissue.. (Doctoral Dissertation). UCL.
Ianus, A.I. (1900). Advanced diffusion MRI for microstructure imaging: theoretical developments. (Doctoral Dissertation). UCL (University College London).
Ianus, A.I. (1900). Advanced diffusion MRI for microstructure imaging: theoretical developments. (Doctoral Dissertation). UCL (University College London).
Heiskala, J., Kolehmainen, V., Tarvainen, T.M., Kaipio, J.P., Arridge, S.R. (1900). Approximation error method can reduce artifacts due to scalp blood flow in optical brain activation imaging. Journal of Biomedical Optics, 17 (9), doi:10.1117/1.JBO.17.9.096012
Mengoudi, K., Ravi, D., Yong, K., Primativo, S., Pavisic, I., Brotherhood, E., ...Alexander, D. (1900). Augmenting Cognitive Assessment with Instruction-less Eye-tracking Tests: A Machine Learning Approach for Detecting Abnormal Oculomotor Biomarkers.
Pavisic, I., Primativo, S., Firth, N., Shakespeare, T., Yong, K., Slattery, C., ...Carton, A. (1900). Can eyetracking metrics relate to performance on visual cognitive tests of individuals with young onset Alzheimer’s disease?. Presented at: Alzheimer's Association International Conference 2017 London.
Ferizi, U. (1900). Compartment models and model selection for in-vivo diffusion-MRI of human brain white matter. (Doctoral Dissertation). University College London.
Blumberg, S.B., Raví, D., Xu, M.-.C., Figini, M., Kokkinos, I., Alexander, D.C. (1900). Deformably-Scaled Transposed Convolution. arXiv.
Silberberg, Y.S., Pelling, A.E., Crum, W.R., Hawkes, D.J., Horton, M.A. (1900). Differential motion of organelles in response to nanonewton forces.
Cox, B., Arridge SA, B.P.C. (1900). Estimating chromophore distributions from multiwavelength photoacoustic images. Journal of the Optical Society of America A: Optics, Image Science, and Vision,
Pakzad, A., Cheung, W.K., Quan, K., Mogulkoc, N., Moorsel, C.H.M.V., Bartholmai, B.J., ...Veltkamp, M. (1900). Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. arXiv.
Pakzad, A., Cheung, W.K., Quan, K., Mogulkoc, N., Moorsel, C.H.M.V., Bartholmai, B.J., ...Veltkamp, M. (1900). Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. arXiv.
Johnsen, S.F., Taylor, Z.A., Clarkson, M.J., Thompson, S., Hu, M., Gurusamy, K., ...Ourselin, S. (1900). Explicit contact modeling for surgical computer guidance and simulation.
Lehtikangas, O., Tarvainen, T., Kolehmainen, V., Pulkkinen, A., Arridge, S.R., Kaipio, J.P. (1900). Finite element approximation of the Fokker-Planck equation for diffuse optical tomography. Journal of Quantitative Spectroscopy and Radiative Transfer, 111 (10), 1406-1417. doi:10.1016/j.jqsrt.2010.03.003
Panagiotaki, E. (1900). Geometric models of brain white matter for microstructure imaging with diffusion MRI. (Doctoral Dissertation).
Thompson, S.A. (1900). Image Guidance in Telemanipulator Assisted Urology Surgery. (Doctoral Dissertation). University of London.
Barratt, D.C., Chan, C.S.K., Edwards, P.J., Penney, G.P., Slomczykowski, M., Carter, T.J., Hawkes, D.J. (1900). Instantiation and Registration of Statistical Shape Models of the Femur and Pelvis using 3D Ultrasound Imaging. Medical Image Analysis,
Daga, P. (1900). Integrating structural and diffusion MR information for optic radiation localisation in focal epilepsy patients.
Stanziola, A., Arridge, S.R., Cox, B.T., Treeby, B.E. (1900). j-Wave: An open-source differentiable wave simulator. arXiv.
Tremoulheac, B.R. (1900). Low-rank and sparse reconstruction in dynamic magnetic resonance imaging via proximal splitting methods. (Doctoral Dissertation). UCL (University College London).
Grussu, F. (1900). Microstructural imaging of the human spinal cord with advanced diffusion MRI. (Doctoral Dissertation). UCL (University College London).
Ianus, A., Drobnjak, I., Alexander, D.C. (1900). Model-based estimation of microscopic anisotropy in macroscopically isotropic substrates using diffusion MRI. In Ourselin, S., Alexander, D., Westin, C.-.F., Cardoso, J. (Eds.), .
Chinchapatnam, P., Rhode, K.S., Ginks, M., Rinaldi, C.A., Lambiase, P., Razavi, R., ...Sermesant, M. (1900). Model-based imaging of cardiac apparent conductivity and local conduction velocity for diagnosis and planning of therapy. IEEE Transactions on Medical Imaging,
Proverbio, A., Siow, B.M., Gibson, A.P., Alexander, D.C. (1900). Multimodality characterization of microstructure by the combination of diffusion NMR and time domain diffuse scattering spectroscopy.
Proverbio, A. (1900). Multimodality characterization of tissue microstructure with Magnetic Resonance and Optical Spectroscop. (Doctoral Dissertation). UCL (University College London).
Young, A.L., Oxtoby, N.P., Huang, J., Marinescu, R.V., Daga, P., Cash, D.M., ...Alexander, D.C. (1900). Multiple Orderings of Events in Disease Progression.
Yang, G. (1900). Numerical Approaches for Solving the Combined Reconstruction and Registration of Digital Breast Tomosynthesis. (Doctoral Dissertation). UCL (University College London).
Yang, G. (1900). Numerical Approaches for Solving the Combined Reconstruction and Registration of Digital Breast Tomosynthesis. (Doctoral Dissertation). UCL (University College London).
Mengoudi, K., Pavisic, I., Brotherhood, E., Crutch, S., Alexander, D., Levvet, B., Firth, N. (1900). Play It Again: Effects of music-specific characteristics and listener-specific traits on pupil dilation in older adults. Presented at: COOM Final Showcase London, UK.
Hu, Y. (1900). Registration of magnetic resonance and ultrasound images for guiding prostate cancer interventions. (Doctoral Dissertation). UCL.
Hu, Y. (1900). Registration of magnetic resonance and ultrasound images for guiding prostate cancer interventions. (Doctoral Dissertation). UCL (University College London).
Firth, N., Primativo, S., Brotherhood, E., Young, A., Yong, K., Crutch, S., ...Oxtoby, N. (1900). Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event-based model of disease progression.
Thompson, S.A., Totz, J., Song, Y., Johnsen, S., Stoyanov, D., Ourselin, S., ...Hawkes, D. (1900). SmartLiver Image Guidance System for Laparoscopic Liver Resection. Presented at: Hamlyn Symposium on Medical Robotics London, United Kingdom.
Schneider, T. (1900). Spinal cord diffusion imaging: Challenging characterization and prognostic value. (Doctoral Dissertation). University College London.
Tanner, C., Hipwell, J.H., Hawkes, D.J. (1900). Statistical Deformation Models of Breast Compressions from Biomechanical Simulations.
Johnsen, S.F. (1900). Technologies for Biomechanically-Informed Image Guidance of Laparoscopic Liver Surgery. (Doctoral Dissertation). University College London.
Lockwood, N.J. (1900). The Global Imaging of Physiological and Pathophysiological Angiogenesis in live zebrafish using Optical Projection Tomography. (Doctoral Dissertation). University College London.
Barbano, R., Kereta, Z., Hauptmann, A., Arridge, S.R., Jin, B. (1900). Unsupervised Knowledge-Transfer for Learned Image Reconstruction. arXiv.
Mohan, P.S., Tarvainen, T., Schweiger, M., Pulkkinen, A., Arridge, S.R. (1900). Variable order spherical harmonic expansion scheme for the radiative transport equation using finite elements. Journal of Computational Physics, 230 (19), 7364-7383. doi:10.1016/j.jcp.2011.06.004