Select Publications
Books
, 2022, Biomedical Image Synthesis and Simulation, Elsevier, http://dx.doi.org/10.1016/c2020-0-01250-8
2014, Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014 Held in Conjunction with MICCAI 2014 Cambridge, MA, USA, September 18, 2014 Revised Selected Papers, http://dx.doi.org/10.1007/978-3-319-13972-2
,, 2014, Abdomen and Thoracic Imaging, El-Baz AS; Saba L; Suri J, (eds.), Springer US, http://dx.doi.org/10.1007/978-1-4614-8498-1
2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
,, 2010, Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention, Madabhushi A; Dowling J; Yan P; Fenster A; Abolmaesumi P; Hata N, (eds.), Springer Berlin Heidelberg, http://dx.doi.org/10.1007/978-3-642-15989-3
Book Chapters
2022, 'Image synthesis for MRI-only radiotherapy treatment planning', in Biomedical Image Synthesis and Simulation: Methods and Applications, pp. 423 - 445, http://dx.doi.org/10.1016/B978-0-12-824349-7.00027-X
,2022, 'ImageCLEF 2021 Best of Labs: The Curious Case of Caption Generation for Medical Images', in , pp. 190 - 203, http://dx.doi.org/10.1007/978-3-031-13643-6_15
,2019, 'MR-Only Methodology', in MRI for Radiotherapy: Planning, Delivery, and Response Assessment, pp. 131 - 151, http://dx.doi.org/10.1007/978-3-030-14442-5_9
,2014, 'Multi-atlas-based segmentation of pelvic structures from ct scans for planning in prostate cancer radiotherapy', in Abdomen and Thoracic Imaging: An Engineering and Clinical Perspective, pp. 623 - 656, http://dx.doi.org/10.1007/978-1-4614-8498-1_24
,2014, 'Structure-Guided Nonrigid Registration of CT–MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy', in Lecture Notes in Computer Science, Springer International Publishing, pp. 65 - 73, http://dx.doi.org/10.1007/978-3-319-14127-5_9
,2008, 'Visual prostheses for the blind: A framework for information presentation', in Mechatronics and Machine Vision in Practice, pp. 275 - 287, http://dx.doi.org/10.1007/978-3-540-74027-8_24
,Journal articles
2024, 'A Pilot Study of PSMA PET/CT and MRI Fusion for Prostate Cancer: Software to Replace PET/MRI Hardware', Journal of Clinical Medicine, 13, pp. 7384 - 7384, http://dx.doi.org/10.3390/jcm13237384
,2024, 'Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-81718-y
,2024, 'Automatic segmentation of tumour and organs at risk in 3D MRI for cervical cancer radiation therapy with anatomical variations', Physical and Engineering Sciences in Medicine, 47, pp. 919 - 928, http://dx.doi.org/10.1007/s13246-024-01415-y
,2024, 'Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets', Computerized Medical Imaging and Graphics, 116, http://dx.doi.org/10.1016/j.compmedimag.2024.102403
,2024, '3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy', Physics and Imaging in Radiation Oncology, 31, http://dx.doi.org/10.1016/j.phro.2024.100612
,2024, 'Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapy', Physics in Medicine and Biology, 69, http://dx.doi.org/10.1088/1361-6560/ad3325
,2024, 'Longitudinal data and a semantic similarity reward for chest X-ray report generation', Informatics in Medicine Unlocked, 50, http://dx.doi.org/10.1016/j.imu.2024.101585
,2024, '1554: Automated contour quality assurance: Implementation and impact in the TROG18.01 NINJA Clinical Trial', Radiotherapy and Oncology, 194, pp. S2917 - S2919, http://dx.doi.org/10.1016/s0167-8140(24)01927-3
,2023, 'Automatic deep learning-based pleural effusion segmentation in lung ultrasound images', BMC Medical Informatics and Decision Making, 23, http://dx.doi.org/10.1186/s12911-023-02362-6
,2023, 'Determination of acceptable Hounsfield units uncertainties via a sensitivity analysis for an accurate dose calculation in the context of prostate MRI-only radiotherapy', Physical and Engineering Sciences in Medicine, 46, pp. 1703 - 1711, http://dx.doi.org/10.1007/s13246-023-01333-5
,2023, 'Prostate volume analysis in image registration for prostate cancer care: a verification study', Physical and Engineering Sciences in Medicine, 46, pp. 1791 - 1802, http://dx.doi.org/10.1007/s13246-023-01342-4
,2023, 'Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning', Physics and Imaging in Radiation Oncology, 28, http://dx.doi.org/10.1016/j.phro.2023.100511
,2023, 'Improving chest X-ray report generation by leveraging warm starting', Artificial Intelligence in Medicine, 144, http://dx.doi.org/10.1016/j.artmed.2023.102633
,2023, 'Innovative AI techniques to aid clinical diagnosis of complex lung pathologies in ultrasound images', The Journal of the Acoustical Society of America, 154, pp. A221 - A221, http://dx.doi.org/10.1121/10.0023344
,2023, 'Real-time 3-D reconstruction from multiple simultaneous ultrasound scans for enhanced imaging', The Journal of the Acoustical Society of America, 154, pp. A139 - A139, http://dx.doi.org/10.1121/10.0023047
,2023, 'Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation', Radiotherapy and Oncology, 186, http://dx.doi.org/10.1016/j.radonc.2023.109794
,2023, 'Clinical validation of MR imaging time reduction for substitute/synthetic CT generation for prostate MRI-only treatment planning', Physical and Engineering Sciences in Medicine, 46, pp. 1015 - 1021, http://dx.doi.org/10.1007/s13246-023-01268-x
,2023, 'Cone beam computed tomography image guidance within a magnetic resonance imaging-only planning workflow', Physics and Imaging in Radiation Oncology, 27, http://dx.doi.org/10.1016/j.phro.2023.100472
,2023, 'Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework', Physical and Engineering Sciences in Medicine, 46, pp. 877 - 886, http://dx.doi.org/10.1007/s13246-023-01261-4
,2023, 'Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy', Clinical Oncology, 35, pp. 370 - 381, http://dx.doi.org/10.1016/j.clon.2023.03.005
,2023, 'Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation', Physical and Engineering Sciences in Medicine, 46, pp. 377 - 393, http://dx.doi.org/10.1007/s13246-023-01231-w
,2023, 'A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study', Frontiers in Oncology, 13, http://dx.doi.org/10.3389/fonc.2023.1279750
,2023, 'Investigation of a water equivalent depth method for dosimetric accuracy evaluation of synthetic CT', Physica Medica, 105, http://dx.doi.org/10.1016/j.ejmp.2022.11.011
,2023, 'DISTAL RADIUS FRACTURE CLASSIFICATION USING DEEP LEARNING ALGORITHMS', Orthopaedic Proceedings, 105-B, pp. 102 - 102, http://dx.doi.org/10.1302/1358-992x.2023.2.102
,2023, 'OC-0446 Evaluation of prostate synthetic CTs from MRI using 2D cycle-GAN with multicentric learning', Radiotherapy and Oncology, 182, pp. S348 - S349, http://dx.doi.org/10.1016/s0167-8140(23)08618-8
,2023, 'PO-1671 3D patch cycle-GAN-based MR-to-CT synthesis from monocenter and multicenter training', Radiotherapy and Oncology, 182, pp. S1374 - S1375, http://dx.doi.org/10.1016/s0167-8140(23)66586-7
,2022, 'Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-22196-y
,2022, 'Validation of an MRI-only planning workflow for definitive pelvic radiotherapy', Radiation Oncology, 17, http://dx.doi.org/10.1186/s13014-022-02023-4
,2022, 'A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture', Physica Medica, 103, pp. 108 - 118, http://dx.doi.org/10.1016/j.ejmp.2022.10.003
,2022, 'CAN3D: Fast 3D medical image segmentation via compact context aggregation', Medical Image Analysis, 82, http://dx.doi.org/10.1016/j.media.2022.102562
,2022, 'Quality assurance for MRI-only radiation therapy: A voxel-wise population-based methodology for image and dose assessment of synthetic CT generation methods', Frontiers in Oncology, 12, http://dx.doi.org/10.3389/fonc.2022.968689
,2022, 'Assessing the impact of magnetic resonance treatment simulation (MRSIM) on target volume delineation and dose to organs at risk for oropharyngeal radiotherapy', Journal of Medical Radiation Sciences, 69, pp. 66 - 74, http://dx.doi.org/10.1002/jmrs.552
,2022, 'Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review', Physical and Engineering Sciences in Medicine, 45, pp. 13 - 29, http://dx.doi.org/10.1007/s13246-021-01093-0
,2022, 'In Regard to Shortall et al', International Journal of Radiation Oncology Biology Physics, 112, pp. 831 - 833, http://dx.doi.org/10.1016/j.ijrobp.2021.10.140
,2022, 'Comparison of Synthetic Computed Tomography Generation Methods, Incorporating Male and Female Anatomical Differences, for Magnetic Resonance Imaging-Only Definitive Pelvic Radiotherapy', Frontiers in Oncology, 12, http://dx.doi.org/10.3389/fonc.2022.822687
,2022, 'A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy', Physics and Imaging in Radiation Oncology, 21, pp. 136 - 145, http://dx.doi.org/10.1016/j.phro.2022.02.011
,2022, 'Terrestrial Analogue Research to Support Human Performance on Mars: A Review and Bibliographic Analysis', Space: Science and Technology (United States), 2022, http://dx.doi.org/10.34133/2022/9841785
,2022, 'Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings', Artificial Intelligence in Medicine, 123, pp. 102230, http://dx.doi.org/10.1016/j.artmed.2021.102230
,2022, 'A Novel Machine Learning Technique for Detecting the Left Atrium With Limited Labelled Training Data', Heart, Lung and Circulation, 31, pp. S141 - S141, http://dx.doi.org/10.1016/j.hlc.2022.06.212
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