2022

Szmul, A., Chandy, E., Veiga, C., Jacob, J., Stavropoulou, A., Landau, D., ...McClelland, J.R. (2022). A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans. Cancers, 14 (5), doi:10.3390/cancers14051341
Szmul, A., Chandy, E., Veiga, C., Jacob, J., Stavropoulou, A., Landau, D., ...McClelland, J.R. (2022). A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans. Cancers, 14 (5), doi:10.3390/cancers14051341
Chandy, E., Szmul, A., Stavropoulou, A., Jacob, J., Veiga, C., Landau, D., ...Hawkins, M.A. (2022). Quantitative Analysis of Radiation-Associated Parenchymal Lung Change. Cancers, 14 (4), doi:10.3390/cancers14040946
Chandy, E., Szmul, A., Stavropoulou, A., Jacob, J., Veiga, C., Landau, D., ...Hawkins, M.A. (2022). Quantitative Analysis of Radiation-Associated Parenchymal Lung Change. Cancers, 14 (4), doi:10.3390/cancers14040946

2021

Stavropoulou, A., Szmul, A., Chandy, E., Veiga, C., Landau, D., McClelland, J.R. (2021). A multichannel feature-based approach for longitudinal lung CT registration in the presence of radiation induced lung damage. Physics in Medicine & Biology, doi:10.1088/1361-6560/ac1b1d
Stavropoulou, K.-.A., Szmul, A., Chandy, E., Veiga, C., Landau, D., McClelland, J. (2021). A Multichannel Feature-Based Approach for Longitudinal Lung CT Registration in the Presence of Radiation Induced Lung Damage.
Stavropoulou, A., Szmul, A., Chandy, E., Veiga, C., Landau, D., McClelland, J.R. (2021). A multichannel feature-based approach for longitudinal lung CT registration in the presence of radiation induced lung damage. Physics in Medicine & Biology, doi:10.1088/1361-6560/ac1b1d
Veiga, C., Lim, P., Marin Anaya, V., Chandy, E., Ahmad, R., D'Souza, D., ...Gains, J. (2021). Atlas construction and spatial normalisation to facilitate radiation-induced late effects research in childhood cancer. Physics in Medicine & Biology, doi:10.1088/1361-6560/abf010
Czerska, K., Emert, F., Kopec, R., Langen, K., McClelland, J.R., Meijers, A., ...Terunuma, T. (2021). Clinical practice vs. state-of-the-art research and future visions: Report on the 4D treatment planning workshop for particle therapy - Edition 2018 and 2019.. Phys Med, 82 54-63. doi:10.1016/j.ejmp.2020.12.013
Hussein, M., Akintonde, A., McClelland, J., Speight, R., Clark, C.H. (2021). Clinical use, challenges, and barriers to implementation of deformable image registration in radiotherapy – the need for guidance and QA tools. British Journal of Radiology, 20210001. doi:10.1259/bjr.20210001
Jackson, C., Allington, L., Chang, Y., McClelland, J., Gulliford, S. (2021). Has the Covid-19 Pandemic increased willingness to engage with remote collection of outcome data?.
Brown, R., Kolbitsch, C., Delplancke, C., Papoutsellis, E., Mayer, J., Ovtchinnikov, E., ...Gillman, A.G. (2021). Motion estimation and correction for simultaneous PET/MR using SIRF and CIL.. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2204), 20200208. doi:10.1098/rsta.2020.0208
Chandy, E., Szmul, A., Stavropoulou, A., Jacob, J., Landau, D., Veiga, C., ...Hawkins, M. (2021). Novel Classification and Longitudinal Analysis of Radiation-Induced Lung Parenchyma Damage.
Whitehead, A.C., Biguri, A., Efthimiou, N., Su, K.-.H., Wollenweber, S.W., Stearns, C.W., ...Thielemans, K. (2021). PET/CT Respiratory Motion Correction With a Single Attenuation Map Using NAC Derived Deformation Fields.
Eiben, B., Chandy, E., Abravan, A., Rompokos, V., Grimes, H., D'Souza, D., ...McClelland, J.R. (2021). Probabilistic lung tumour target definition from 4DCT data: A motion model based approach.
Szmul, A., Chandy, E., Veiga, C., Stavropoulou, A., Jacob, J., Landau, D., ...McClelland, J. (2021). Radiation Induced Lung Damage Tissue Segmentation and Classification Framework.
Taylor, S., Lim, P., Ahmad, R., Alhadi, A., Harris, W., Rompokos, V., ...Veiga, C. (2021). Risk of radiation-induced second malignant neoplasms from photon and proton radiotherapy in paediatric abdominal neuroblastoma. Physics and Imaging in Radiation Oncology, 19 45-52. doi:10.1016/j.phro.2021.06.003
Hanson, H.M., Eiben, B., McClelland, J.R., van Herk, M., Rowland, B.C. (2021). Technical Note: 4D Deformable Digital Phantom for MRI Sequence Development.. Med Phys, doi:10.1002/mp.15036
Klinge, T., Modat, M., McClelland, J.R., Dimitriadis, A., Paddick, I., Hopewell, J.W., ...Ourselin, S. (2021). The impact of unscheduled gaps and iso-centre sequencing on the biologically effective dose in Gamma Knife radiosurgery.. J Radiosurg SBRT, 7 (3), 213-221.
Klinge, T., Talbot, H., Paddick, I., Ourselin, S., McClelland, J., Modat, M. (2021). Toward Semi-Automatic Biologically Effective Dose Treatment Planning for Gamma Knife Radiosurgery.

2020

Eiben, B., Bertholet, J., Menten, M.J., Nill, S., Oelfke, U., McClelland, J.R. (2020). Consistent and invertible deformation vector fields for a breathing anthropomorphic phantom: a post-processing framework for the XCAT phantom. Physics in Medicine & Biology, doi:10.1088/1361-6560/ab8533
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
Eiben, B., Tran, E.H., Wetscherek, A., Shiarli, A., Bertholet, J., Oelfke, U., McClelland, J.R. (2020). High-resolution image reconstruction and motion modelling for a lung cancer patient on an MR-Linac.
Hussein, M., McClelland, J., Speight, R., Clark, C.H. (2020). How do UK centres clinically use, commission, and QA deformable image registration?.
Whitehead, A.C., Emond, E.C., Efthimiou, N., Akintonde, A., Wollenweber, S.W., Stearns, C.W., ...Thielemans, K. (2020). Impact of Time-of-Flight on Respiratory Motion Modelling using Non-Attenuation-Corrected PET.
Dong, Y., Kumar, H., Tawhai, M., Veiga, C., Szmul, A., Landau, D., ...Burrowes, K.S. (2020). In Silico Ventilation Within the Dose-Volume is Predictive of Lung Function Post-radiation Therapy in Patients with Lung Cancer. Annals of Biomedical Engineering, doi:10.1007/s10439-020-02697-5
Dong, Y., Kumar, H., Tawhai, M., Veiga, C., Szmul, A., Landau, D., ...Burrowes, K.S. (2020). In Silico Ventilation Within the Dose-Volume is Predictive of Lung Function Post-radiation Therapy in Patients with Lung Cancer. Annals of Biomedical Engineering, doi:10.1007/s10439-020-02697-5
Dong, Y., Kumar, H., Tawhai, M.H., Veiga, C., Szmul, A., Landau, D., ...Burrowes, K.S. (2020). In-Silico Regional Ventilation Predicts Pulmonary Function After Radiotherapy for Lung Cancer Patients.
Correia Veloso Da Veiga, C.I., Chandy, E., Jacob, J., Yip, N., Szmul, A., Landau, D., McClelland, J. (2020). Investigation of the evolution of radiation-induced lung damage using serial CT imaging and pulmonary function tests. Radiotherapy and Oncology,
Correia Veloso Da Veiga, C.I., Chandy, E., Jacob, J., Yip, N., Szmul, A., Landau, D., McClelland, J. (2020). Investigation of the evolution of radiation-induced lung damage using serial CT imaging and pulmonary function tests. Radiotherapy and Oncology,
Špiclin, Ž., McClelland, J., Kybic, J., Goksel, O. (2020). Preface. .
Chandy, E., Jacob, J., Yip, N., Szmul, A., Landau, D., McClelland, J.R., Veiga, C. (2020). The evolution of radiation-induced lung damage following dose-escalated chemo-radiotherapy.

2019

Hobson, N.J., Weng, X., Siow, B., Veiga, C., Ashford, M., Thanh, N.T., ...Uchegbu, I.F. (2019). Clustering superparamagnetic iron oxide nanoparticles produces organ-targeted high-contrast magnetic resonance images.. Nanomedicine (Lond), doi:10.2217/nnm-2018-0370
Hussein, M., McClelland, J., Speight, R., Clark, C. (2019). Current status of the clinical use, commissioning and QA of Deformable Image Registration in UK radiotherapy centres.
Akintonde, A., Grimes, H., Moinuddin, S., Sharma, R.A., McClelland, J., Thielemans, K. (2019). Data driven region of interest respiratory surrogate signal extraction from CBCT data.
Johnstone, R., Atkinson, D., Chouhan, M., Sharma, R., McClelland, J. (2019). Free-breathing MRI of the upper abdomen assisted by motion modelling.
Eiben, B., Bertholet, J., Tran, E.H., Wetscherek, A., Oelfke, U., McClelland, J. (2019). Geometric accuracy of surrogate-driven respiratory motion models for MR-guided lung radiotherapy.
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.
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.
Veiga, C., Jacob, J., Yip, N., Szmul, A., Landau, D., McClelland, J. (2019). Objective imaging biomarkers to quantify the evolution of radiation-induced lung damage.
Wilson, M., McClelland, J., Tan, W., Royle, G., Holloway, S. (2019). Predicting 4D inter-fractional anatomical change in head and neck cancer using diffeomorphic image registration.
Dong, Y., Tawhai, M., Veiga, C., Doel, T., Landau, D., McClelland, J., Burrowes, K. (2019). Predicting lung function post-RT in lung cancer using multivariate and principal component analysis.
Bertholet, J., Knopf, A., Eiben, B., McClelland, J., Grimwood, A., Harris, E., ...Keall, P. (2019). Real-time intrafraction motion monitoring in external beam radiotherapy.. Phys Med Biol, doi:10.1088/1361-6560/ab2ba8
Akintonde, A., Thielemans, K., Sharma, R., Mouches, P., Mory, C., Rit, S., McClelland, J. (2019). Respiratory motion model derived from CBCT projection data.
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.
Beasley, D., Eiben, B., Doran, S., Darcy, J., Petts, J., Patel, R., ...Modat, M. (2019). Secure-DICOM-Uploader: A platform for anonymising and transferring imaging data from hospital sites to remote repositories.
Hunt, S., Thomas, S., McClelland, J., Harrison, K., Rose, C., Scaife, J., ...Jena, R. (2019). Use of deformable image registration for automatic outlining of the rectum.
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.

2018

Chuang, C.S., Xu, R., Li, X., Royle, G., McClelland, J. (2018). An evaluation of vocal instruction for external respiratory motion using kernel density estimation.
Trnková, P., Knäusl, B., Actis, O., Bert, C., Biegun, A.K., Boehlen, T.T., ...Rinaldi, I. (2018). Clinical implementations of 4D pencil beam scanned particle therapy: Report on the 4D treatment planning workshop 2016 and 2017.. Physica Medica, 54 121-130. doi:10.1016/j.ejmp.2018.10.002
Akintonde, A., McClelland, J., Grimes, H., Moinuddin, S., Sharma, R.A., Rit, S., Thielemans, K. (2018). Data Driven Cone Beam CT Motion Management for Radiotherapy Application.
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.
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.
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.
Paganelli, C., Whelan, B., Peroni, M., Summers, P., Fast, M., van de Lindt, T., ...Lomax, T. (2018). MRI-guidance for motion management in external beam radiotherapy: current status and future challenges.. PHYSICS IN MEDICINE AND BIOLOGY, 63 (22), doi:10.1088/1361-6560/aaebcf
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., White, J., Ngai, Y., ...McClelland, J.R. (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.
Tran, E.H., Eiben, B., Wetscherek, A., Collins, D.J., Oelfke, U., Meedt, G., ...McClelland, J.R. (2018). OC-0411: Investigation of MRI-derived surrogate signals for modelling respiratory motion on an MRI-Linac.
Veiga, C.I.C.V.D., McClelland, J., Landau, D. (2018). Response to Oymak et al. Radiotherapy and Oncology, doi:10.1016/j.radonc.2018.06.038
Veiga, C., McClelland, J.R., Landau, D. (2018). Response to Oymak et al.. Radiotherapy and Oncology, doi:10.1016/j.radonc.2018.06.038
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.
Freedman, J.N., Collins, D.J., Gurney-Champion, O.J., McClelland, J.R., Nill, S., Oelfke, U., ...Wetscherek, A. (2018). Super-resolution T2-weighted 4D MRI for image guided radiotherapy.. Radiotherapy and Oncology, doi:10.1016/j.radonc.2018.05.015
Cole, A.J., Veiga, C., Johnson, U., D'Souza, D., Lalli, N.K., McClelland, J.R. (2018). Toward adaptive radiotherapy for lung patients: feasibility study on deforming planning CT to CBCT to assess the impact of anatomical changes on dosimetry.. Physics in medicine and biology, doi:10.1088/1361-6560/aad1bb
Cole, A.J., Veiga, C., Johnson, U., D'Souza, D., Lalli, N., McClelland, J.R. (2018). Toward adaptive radiotherapy for lung patients: Feasibility study on deforming planning CT to CBCT to assess the impact of anatomical changes on dosimetry.. Physics in medicine and biology, doi:10.1088/1361-6560/aad1bb
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.

2017

Veiga, C.I.C.V.D., Janssens, G., Baudier, T., Hotoiu, L., Brousmiche, S., McClelland, J., ...Teo, K. (2017). A comprehensive evaluation of the accuracy of CBCT and deformable registration based dose calculation in lung proton therapy. Biomedical Physics & Engineering Express, doi:10.1088/2057-1976/3/1/015003
Veiga, C., Janssens, G., Baudier, T., Hotoiu, L., Brousmiche, S., McClelland, J., ...Teo, B.-.K.K. (2017). A comprehensive evaluation of the accuracy of CBCT and deformable registration based dose calculation in lung proton therapy. Biomedical Physics & Engineering Express, doi:10.1088/2057-1976/3/1/015003
McClelland, J.R., Modat, M., Arridge, S., Grimes, H., D'Souza, D., Thomas, D., ...Collins, D.J. (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
Baumgartner, C.F., Kolbitsch, C., McClelland, J.R., Rueckert, D., King, A.P. (2017). Autoadaptive motion modelling for MR-based respiratory motion estimation.. Medical image analysis, 35 83-100. doi:10.1016/j.media.2016.06.005
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.
Guerreiro, F., Burgos, N., Dunlop, A., Wong, K., Petkar, I., Nutting, C., ...Dearnaley, D. (2017). Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning.. Physica Medica, doi:10.1016/j.ejmp.2017.02.017
Cuplov, V., Holman, B.F., McClelland, J., Modat, M., Hutton, B.F., Thielemans, K. (2017). Issues in quantification of registered respiratory gated PET/CT in the lung.. Physics in Medicine and Biology, 63 (1), doi:10.1088/1361-6560/aa950b
Burgos, N., Guerreiro, F., McClelland, J., Presles, B., Modat, M., Nill, S., ...Knopf, A.-.C. (2017). Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning.. Physics in Medicine and Biology, doi:10.1088/1361-6560/aa66bf
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
Veiga, C., Landau, D., McClelland, J.R., Ledermann, J.A., Hawkes, D., Janes, S.M., Devaraj, A. (2017). Long term radiological features of radiation-induced lung damage.. Radiotherapy and Oncology, doi:10.1016/j.radonc.2017.11.003
Bragman, F.J.S., McClelland, J.R., Jacob, J., Hurst, J.R., Hawkes, D.J. (2017). Manifold Learning of COPD.
Eiben, B., Fast, M.F., Menten, M.J., Bromma, K., Wetscherek, A., Hawkes, D.J., ...Oelfke, U. (2017). OC-0155: Automated lung tumour delineation in cine MR images for image guided radiotherapy with an MR-Linac. Radiotherapy and Oncology, 123 S78. doi:10.1016/S0167-8140(17)30598-4
Bragman, F.J.S., McClelland, J.R., Jacob, J., Hurst, J.R., Hawkes, D.J. (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.
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

2016

Veiga, C., Landau, D., Devaraj, D., Hawkes, D., McClelland, J. (2016). Challenges in the registration of serial CT images from lung radiotherapy patients.
Veiga, C., Janssens, G., Teng, C.-.L., Baudier, T., Hotoiu, L., McClelland, J.R., ...Metz, J. (2016). First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 95 (1), 549-559. doi:10.1016/j.ijrobp.2016.01.055
Veiga, C., Janssens, G., Teng, C.-.L., Baudier, T., Hotoiu, L., McClelland, J.R., ...Metz, J. (2016). First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer.. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 95 (1), 549-559. doi:10.1016/j.ijrobp.2016.01.055
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
Burgos, N.F., Guerreiro, F., McClelland, J., Nill, S., Dearnaley, D., deSouza, N., ...Cardoso, M.J. (2016). Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning.
Knopf, A.-.C., Stützer, K., Richter, C., Rucinski, A., da Silva, J., Phillips, J., ...Jakobi, A. (2016). Required transition from research to clinical application: Report on the 4D treatment planning workshops 2014 and 2015.. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 32 (7), 874-882. doi:10.1016/j.ejmp.2016.05.064

2015

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.
Veiga, C., Alshaikhi, J., Amos, R., Lourenço, A.M., Modat, M., Ourselin, S., ...McClelland, J.R. (2015). Cone-Beam Computed Tomography and Deformable Registration-Based “Dose of the Day” Calculations for Adaptive Proton Therapy. International Journal of Particle Therapy, 2 (2), 404-414. doi:10.14338/IJPT-14-00024.1
Veiga, C., Alshaikhi, J., Amos, R., Lourenço, A.M., Modat, M., Ourselin, S., ...McClelland, J.R. (2015). Cone-Beam Computed Tomography and Deformable Registration-Based “Dose of the Day” Calculations for Adaptive Proton Therapy. International Journal of Particle Therapy, 2 (2), 404-414. doi:10.14338/IJPT-14-00024.1
Cuplov, V., Holman, B., Hutton, B., Groves, A., Thielemans, K. (2015). Issues in quantification of registered respiratory gated PET/CT in the lung.
Veiga, C., Kittappa, D., Wong, S.-.L., Mendes, R., Bodey, R., Modat, M., ...McClelland, J. (2015). Optimization of Multimodal and Multitemporal Deformable Image Registration for Head and Neck Cancer.
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.
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.
Baumgartner, C.F., Gomez, A., Koch, L.M., Housden, J.R., Kolbitsch, C., McClelland, J.R., ...King, A.P. (2015). Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.
Veiga, C., Lourenço, A.M., Mouinuddin, S., van Herk, M., Modat, M., Ourselin, S., ...McClelland, J.R. (2015). Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.. Med Phys, 42 (2), 760-769. doi:10.1118/1.4905050
Veiga, C., Lourenço, A.M., Mouinuddin, S., van Herk, M., Modat, M., Ourselin, S., ...McClelland, J.R. (2015). Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm.. Med Phys, 42 (2), 760-769. doi:10.1118/1.4905050
Hoang Duc, A.K., Eminowicz, G., Mendes, R., Wong, S.L., McClelland, J., Modat, M., ...Kadir, T. (2015). Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer. Medical Physics, 42 (9), 5027-5034. doi:10.1118/1.4927567
Hoang Duc, A.K., Eminowicz, G., Mendes, R., Wong, S.-.L., McClelland, J., Modat, M., ...Kadir, T. (2015). Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.. Medical Physics, 42 (9), 5027-5034. doi:10.1118/1.4927567

2014

Baumgartner, C.E., Kolbitsch, C., McClelland, J.R., Rueckert, D., King, A.P. (2014). AUTOADAPTIVE MOTION MODELLING.
Martin, J., McClelland, J., Champion, B., Hawkes, D.J. (2014). Building surrogate-driven motion models from cone-beam CT via surrogate-correlated optical flow.
Knopf, A., Nill, S., Yohannes, I., Graeff, C., Dowdell, S., Kurz, C., ...McClelland, J. (2014). Challenges of radiotherapy: report on the 4D treatment planning workshop 2013.. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 30 (7), 809-815. doi:10.1016/j.ejmp.2014.07.341
McClelland, J.R., Champion, B.A.S., Hawkes, D.J. (2014). Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction.
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.
Baumgartner, C.F., Kolbitsch, C., Balfour, D.R., Marsden, P.K., McClelland, J.R., Rueckert, D., King, A.P. (2014). High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.. MEDICAL IMAGE ANALYSIS, 18 (7), 939-952. doi:10.1016/j.media.2014.05.010
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.
Veiga, C., McClelland, J., Moinuddin, S., Lourenço, A., Ricketts, K., Annkah, J., ...Royle, G. (2014). Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.. Med Phys, 41 (3), doi:10.1118/1.4864240
Veiga, C., McClelland, J., Moinuddin, S., Lourenço, A., Ricketts, K., Annkah, J., ...Royle, G. (2014). Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.. Med Phys, 41 (3), doi:10.1118/1.4864240

2013

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
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.
McClelland, J. (2013). Estimating Internal Respiratory Motion from Respiratory Surrogate Signals Using Correspondence Models. In 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. (pp. 187-213). Springer Berlin Heidelberg.
Baumgartner, C.F., Kolbitsch, C., McClelland, J.R., Rueckert, D., King, A.P. (2013). Groupwise simultaneous manifold alignment for high-resolution dynamic MR imaging of respiratory motion..
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.
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
Veiga, C., Moinuddin, S., Ricketts, K., Modat, M., Ourselin, S., D'Souza, D., Royle, G.J. (2013). Towards adaptive radiotherapy for head and neck patients: validation of an in-house deformable registration algorithm.
Veiga, C., McClelland, J., Moinuddin, S., Ricketts, K., Modat, M., Ourselin, S., ...Royle, G. (2013). Towards adaptive radiotherapy for head and neck patients: Validation of an in-house deformable registration algorithm.

2012

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.
Roth, H.R., Boone, D.J., Halligan, S., Hampshire, T.E., McClelland, J.R., Hu, M., ...Hawkes, D.J. (2012). External clinical validation of prone and supine CT colonography registration.
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.
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.
McClelland, J., Suh, Y., Ahmad, S., Hawkes, D. (2012). Study of Deformable Registration Based 4DCT Ventilation Imaging Methods.
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.

2011

Martin, J., MCCLELLAND, J.R., Hawkes, D.J. (2011). Determination of tumour-centre motion during a cone-beam CT acquisition - a feasibility study.
Murphy, K., van Ginneken, B., Reinhardt, J.M., Kabus, S., Ding, K., Deng, X., ...Garcia, V. (2011). Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.. IEEE transactions on medical imaging, 30 (11), 1901-1920.
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
MCCLELLAND, J.R., Martin, J., Hawkes, D.J. (2011). Lung tumour tracking and motion compensated reconstruction in cone beam CT.
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

2010

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.
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..
Modat, M., MCCLELLAND, J., Ourselin, S. (2010). Lung registration using the NiftyReg package.
Hawkes, D., McClelland, J., Modat, M., Roth, H., Ourselin, S. (2010). NON-RIGID IMAGE REGISTRATION - HOW DOES IT WORK?.
Hughes, S., MCCLELLAND, J., Suh, Y., Qureshi, A., Ahmad, S., Hawkes, D., Landau, D. (2010). Simulation of long-Cine CT based Internal Target Volume (ITV) coverage of lung tumours at the end of radical radiotherapy with and without gated delivery.
MCCLELLAND, J., Hughes, S., Modat, M., Ahmad, S., Landau, D., Ourselin, S., Hawkes, D. (2010). Study of inter-fraction variations in respiratory motion using deformable registration based motion models.

2009

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.
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.
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
Hawkes, D., McClelland, J., Modat, M., Barratt, D., Rijkhorst, E., Hu, Y., ...Ourselin, S. (2009). IMAGE REGISTRATION, MOTION MODELING AND TISSUE DEFORMATION.

2008

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
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.
Hughes, S., MCCLELLAND, J., Tarte, S., Blackall, J., Liong, J., Ahmad, S., ...Landau, D. (2008). Assessment of respiratory cycle variability with and without training using a visual guide. Cancer Therapy, 6 945-954.
Gao, G., MCCLELLAND, J., Tarte, S., Blackall, J.M., Hawkes, D.J. (2008). Modelling the respiratory motion of the internal organs by using Canonical Correlation Analysis and dynamic MRI.
Hawkes, D., Barratt, D., Carter, T., McClelland, J., Crum, B. (2008). Nonrigid registration. In Image-Guided Interventions: Technology and Applications. (pp. 193-218). .
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
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
Mcclelland, J., Gao, G., Tarte, S., Blackall, J., Hughes, S., Ahmad, S., ...Hawkes, D. (2008). TH‐D‐332‐07: Removing Artifacts From 4DCT Volumes Acquired in Cine Mode Using B‐Spline Non‐Rigid Registrations.

2007

Webb, S., Binnie, D., MCCLELLAND, J. (2007). General formulation of the problem of ‘differential organ motion’, magnitude of problem assessed using 4D CT data and motion-compensation strategy suitable for a ‘breathing’ multileaf collimator.
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.
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.
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., Webb, S., Hawkes, D. (2007). Tracking 2D ‘differential organ motion’ using the DMLC technique and 4DCT motion models for the delivery of IMRT to sites affected by respiratory motion.
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

2006

McClelland, J.R., Blackall, J.M., Tarte, S., Chandler, A.C., Hughes, S., Ahmad, S., ...Hawkes, D.J. (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
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.
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).
Hawkes, D., Barratt, D., Blackall, J., Chandler, A., MCCLELLAND, J., Penney, G. (2006). Computational models in image guided interventions.
Blackall, J.M., Ahmad, S., Miquel, M.E., McClelland, J.R., Landau, D.B., Hawkes, D.J. (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.

2005

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.
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).
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).
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.
Hawkes, D.J., Barratt, D., Blackall, J.M., Chan, C., Edwards, P.J., Rhode, K., ...Hill, D.L.G. (2005). Tissue deformation and shape models in image-guided interventions: a discussion paper.. Medical Image Analysis, 8 (2), 163-175.

2004

MCCLELLAND, J., Chandler, A.G., Blackall, J.M., Ahmad, S., Landau, D., Hawkes, D.J. (2004). Feasibility study of a novel technique for constructing respiratory motion models, for use in 4D lung cancer radiotherapy planning.

1900

MCCLELLAND, J., Roth, H., Hu, M., Hawkes, D., Halligan, S. (1900). APPARATUS AND METHOD FOR REGISTERING MEDICAL IMAGES CONTAINING A TUBULAR ORGAN. 1004084.8.
Johnstone, R.I. (1900). Combined motion-compensated and super-resolution image reconstruction to improve magnetic resonance imaging of the upper abdomen. (). UCL (University College London).
Cole, A.J., Veiga, C., Johnson, U., D’Souza, D., Lalli, N.K., McClelland, J.R. (1900). Erratum: Toward adaptive radiotherapy for lung patients: feasibility study on deforming planning CT to CBCT to assess the impact of anatomical changes on dosimetry (A J Cole et al 2018 Phys. Med. Biol. 63 155014). Physics in Medicine & Biology, 63 (17), 179602. doi:10.1088/1361-6560/aada96
Brock, K.K., Deformable Registration Accuracy, C.o.n.s.o.r.t.i.u.m. (1900). Results of a multi-institution deformable registration accuracy study (MIDRAS).. International Journal of Radiation Oncology, Biology, and Physics, 76 (2), 583-596.