By Associate Professor Jason Dowling

Books

, 2022, Biomedical Image Synthesis and Simulation, Elsevier, http://dx.doi.org/10.1016/c2020-0-01250-8

Menze B; Langs G; Montillo A; Kelm M; Müller H; Zhang S; Cai W; Metaxas D, 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

Madabhushi A; Dowling J; Yan P; Fenster A; Abolmaesumi P; Hata N, 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

Dowling J; O'Connor L; Acosta O; Raniga P; de Crevoisier R; Nunes JC; Barateau A; Chourak H; Choi JH; Greer P, 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

Nicolson A; Dowling J; Koopman B, 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

Dowling JA; Korhonen J, 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

Acosta O; Dowling J; Drean G; Simon A; De Crevoisier R; Haigron P, 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

Rivest-Hénault D; Greer P; Fripp J; Dowling J, 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

Dowling J; Boles W; Maeder A, 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

Leung SN; Chandra SS; Lim K; Young T; Holloway L; Dowling JA, 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

Chlap P; Min H; Dowling J; Field M; Cloak K; Leong T; Lee M; Chu J; Tan J; Tran P; Kron T; Sidhom M; Wiltshire K; Keats S; Kneebone A; Haworth A; Ebert MA; Vinod SK; Holloway L, 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

Texier B; Hémon C; Queffélec A; Dowling J; Bessieres I; Greer P; Acosta O; Boue-Rafle A; de Crevoisier R; Lafond C; Castelli J; Barateau A; Nunes JC, 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

Le Bao V; Haworth A; Dowling J; Walker A; Arumugam S; Jameson M; Chlap P; Wiltshire K; Keats S; Cloak K; Sidhom M; Kneebone A; Holloway L, 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

Nicolson A; Dowling J; Anderson D; Koopman B, 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

Chlap P; Min H; Sidhom M; Martin J; Whitehead A; Moore A; Dowling J; Haworth A; Ebert MA; Vinod SK; Holloway L, 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

Vukovic D; Wang A; Antico M; Steffens M; Ruvinov I; van Sloun RJ; Canty D; Royse A; Royse C; Haji K; Dowling J; Chetty G; Fontanarosa D, 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

Chourak H; Barateau A; Greer P; Lafond C; Nunes JC; de Crevoisier R; Dowling J; Acosta O, 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

Bugeja JM; Mehawed G; Roberts MJ; Rukin N; Dowling J; Murray R, 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

Texier B; Hémon C; Lekieffre P; Collot E; Tahri S; Chourak H; Dowling J; Greer P; Bessieres I; Acosta O; Boue-Rafle A; Guevelou JL; de Crevoisier R; Lafond C; Castelli J; Barateau A; Nunes JC, 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

Nicolson A; Dowling J; Koopman B, 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

Antico M; Moafa K; Vukovic D; Edwards C; Dowling J; Canty D; Steffens M; Fontanarosa D, 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

Antico M; Gillman A; Belous G; Lebrat L; Petersson L; Schmutz B; Mejan-Fripp J; Dowling J; Fontanarosa D, 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

Min H; Dowling J; Jameson MG; Cloak K; Faustino J; Sidhom M; Martin J; Cardoso M; Ebert MA; Haworth A; Chlap P; de Leon J; Berry M; Pryor D; Greer P; Vinod SK; Holloway L, 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

Young T; Dowling J; Rai R; Liney G; Greer P; Thwaites D; Holloway L, 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

O'Connor LM; Quinn A; Denley S; Leigh L; Martin J; Dowling JA; Skehan K; Warren-Forward H; Greer PB, 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

Min H; Rabi Y; Wadhawan A; Bourgeat P; Dowling J; White J; Tchernegovski A; Formanek B; Schuetz M; Mitchell G; Williamson F; Hacking C; Tetsworth K; Schmutz B, 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

Chin V; Finnegan RN; Chlap P; Otton J; Haidar A; Holloway L; Thwaites DI; Dowling J; Delaney GP; Vinod SK, 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

Finnegan RN; Chin V; Chlap P; Haidar A; Otton J; Dowling J; Thwaites DI; Vinod SK; Delaney GP; Holloway L, 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

Tahri S; Texier B; Nunes JC; Hemon C; Lekieffre P; Collot E; Chourak H; Le Guevelou J; Greer P; Dowling J; Acosta O; Bessieres I; Marage L; Boue-Rafle A; De Crevoisier R; Lafond C; Barateau A, 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

Hyuk Choi J; Asadi B; Simpson J; Dowling JA; Chalup S; Welsh J; Greer P, 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

White J; Wadhawan A; Min H; Rabi Y; Schmutz B; Dowling J; Tchernegovski A; Bourgeat P; Tetsworth K; Fripp J; Mitchell G; Hacking C; Williamson F; Schuetz M, 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

Texier B; Hémon C; Collot E; Lekieffre P; Tahri S; Chourak H; Greer P; Dowling J; Barateau A; Lafond C; de Crevoisier R; Castelli J; Nunes J, 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

Lekieffre P; Collot E; Texier B; Hémon C; Tahri S; Chourak H; Bessieres I; Greer P; Dowling J; Barateau A; Lafond C; de Crevoisier R; Nunes J, 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

Durrani N; Vukovic D; van der Burgt J; Antico M; van Sloun RJG; Canty D; Steffens M; Wang A; Royse A; Royse C; Haji K; Dowling J; Chetty G; Fontanarosa D, 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

O’Connor LM; Dowling JA; Choi JH; Martin J; Warren-Forward H; Richardson H; Best L; Skehan K; Kumar M; Govindarajulu G; Sridharan S; Greer PB, 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

Tahri S; Barateau A; Cadin C; Chourak H; Ribault S; Nozahic F; Acosta O; Dowling JA; Greer PB; Largent A; Lafond C; De Crevoisier R; Nunes JC, 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

Dai W; Woo B; Liu S; Marques M; Engstrom C; Greer PB; Crozier S; Dowling JA; Chandra SS, 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

Chourak H; Barateau A; Tahri S; Cadin C; Lafond C; Nunes JC; Boue-Rafle A; Perazzi M; Greer PB; Dowling J; de Crevoisier R; Acosta O, 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

Richardson H; Kumar M; Tieu MT; Parker J; Dowling JA; Arm J; Best L; Greer PB; Clapham M; Oldmeadow C; O’Connor L; Wratten C, 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

Gillman AG; Lunardo F; Prinable J; Belous G; Nicolson A; Min H; Terhorst A; Dowling JA, 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

Ebert MA; Marcello M; Kennedy A; Haworth A; Holloway LC; Greer P; Dowling JA; Jameson MG; Roach D; Joseph DJ; Gulliford SL; Sydes MR; Hall E; Dearnaley DP, 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

O’Connor LM; Choi JH; Dowling JA; Warren-Forward H; Martin J; Greer PB, 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

Finnegan RN; Reynolds HM; Ebert MA; Sun Y; Holloway L; Sykes JR; Dowling J; Mitchell C; Williams SG; Murphy DG; Haworth A, 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

Terhorst A; Dowling JA, 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

Pang S; Field M; Dowling J; Vinod S; Holloway L; Sowmya A, 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

Otton J; Finnegan R; Dowling J; Otton J, 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

Finnegan R; Otton J; Dowling J, 2021, 'Machine learning analysis of chest CT to detect cardiac abnormalities in COVID19', European Heart Journal, 42, http://dx.doi.org/10.1093/eurheartj/ehab724.0170

Min H; Dowling J; Jameson MG; Cloak K; Faustino J; Sidhom M; Martin J; Ebert MA; Haworth A; Chlap P; De Leon J; Berry M; Pryor D; Greer P; Vinod SK; Holloway L, 2021, 'Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial', Physics in Medicine and Biology, 66, http://dx.doi.org/10.1088/1361-6560/ac25d5

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