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2025 Journal Article How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data contextLunardo, Febrio, Baker, Laura, Tan, Alex, Baines, John, Squire, Timothy, Dowling, Jason A., Azghadi, Mostafa Rahimi and Gillman, Ashley G. (2025). How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data context. Physical and Engineering Sciences in Medicine. doi: 10.1007/s13246-024-01514-w |
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2025 Journal Article Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesisHan, Songyue, Hémon, Cédric, Texier, Blanche, Kortli, Yassin, Queffelec, Adélie, de Crevoisier, Renaud, Dowling, Jason, Greer, Peter, Bessières, Igor, Barateau, Anaïs, Lafond, Caroline and Nunes, Jean-Claude (2025). Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis. Pattern Recognition Letters, 189, 56-63. doi: 10.1016/j.patrec.2025.01.002 |
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2024 Journal Article A pilot study of PSMA PET/CT and MRI fusion for prostate cancer: Software to replace PET/MRI hardwareMehawed, Georges, Roberts, Matthew J., Bugeja, Jessica, Dowling, Jason, Stewart, Kate, Gunasena, Rivindi, Malczewski, Frances, Rukin, Nicholas J. and Murray, Rebecca (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 (23) 7384, 1-11. doi: 10.3390/jcm13237384 |
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2024 Journal Article Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scansLye, Ridhwan, Min, Hang, Dowling, Jason, Obertová, Zuzana, Estai, Mohamed, Bachtiar, Nur Amelia and Franklin, Daniel (2024). Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans. Scientific Reports, 14 (1) 30136, 1-12. doi: 10.1038/s41598-024-81718-y |
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2024 Journal Article Longitudinal data and a semantic similarity reward for chest X-ray report generationNicolson, Aaron, Dowling, Jason, Anderson, Doug and Koopman, Bevan (2024). Longitudinal data and a semantic similarity reward for chest X-ray report generation. Informatics in Medicine Unlocked, 50 101585, 101585. doi: 10.1016/j.imu.2024.101585 |
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2024 Journal Article Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasetsChlap, Phillip, Min, Hang, Dowling, Jason, Field, Matthew, Cloak, Kirrily, Leong, Trevor, Lee, Mark, Chu, Julie, Tan, Jennifer, Tran, Phillip, Kron, Tomas, Sidhom, Mark, Wiltshire, Kirsty, Keats, Sarah, Kneebone, Andrew, Haworth, Annette, Ebert, Martin A., Vinod, Shalini K. and Holloway, Lois (2024). Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Computerized Medical Imaging and Graphics, 116 102403, 1-17. doi: 10.1016/j.compmedimag.2024.102403 |
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2024 Journal Article 3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapyTexier, Blanche, Hémon, Cédric, Queffélec, Adélie, Dowling, Jason, Bessieres, Igor, Greer, Peter, Acosta, Oscar, Boue-Rafle, Adrien, de Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anaïs and Nunes, Jean-Claude (2024). 3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy. Physics and Imaging in Radiation Oncology, 31 100612, 1-7. doi: 10.1016/j.phro.2024.100612 |
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2024 Conference Publication Automated contour quality assurance: Implementation and impact in the TROG18.01 NINJA Clinical TrialChlap, Phillip, Min, Hollie, Sidhom, Mark, Martin, Jarad, Whitehead, Angela, Moore, Alisha, Dowling, Jason, Haworth, Annette, Ebert, Martin A., Vinod, Shalini K. and Holloway, Lois (2024). Automated contour quality assurance: Implementation and impact in the TROG18.01 NINJA Clinical Trial. ESTRO meets Asia 2024, Kuala Lumpur, Malaysia, 23-25 August 2024. Amsterdam, Netherlands: Elsevier. doi: 10.1016/s0167-8140(24)01927-3 |
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2024 Journal Article Automatic segmentation of tumour and organs at risk in 3D MRI for cervical cancer radiation therapy with anatomical variationsLeung, Sze-Nung, Chandra, Shekhar S., Lim, Karen, Young, Tony, Holloway, Lois and Dowling, Jason A. (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 (3), 1-10. doi: 10.1007/s13246-024-01415-y |
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2024 Journal Article Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapyLe Bao, Viet, Haworth, Annette, Dowling, Jason A., Walker, Amy, Arumugam, Sankar, Jameson, Michael, Chlap, Phillip, Wiltshire, Kirsty, Keats, Sarah, Cloak, Kirrily, Sidhom, Mark, Kneebone, Andrew and Holloway, Lois (2024). Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapy. Physics in Medicine and Biology, 69 (8) 085008, 1-15. doi: 10.1088/1361-6560/ad3325 |
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2024 Conference Publication Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned PairsXin, Bowen, Young, Tony, Wainwright, Claire E., Blake, Tamara, Lebrat, Leo, Gaass, Thomas, Benkert, Thomas, Stemmer, Alto, Coman, David and Dowling, Jason (2024). Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs. ML Research Press. |
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2023 Journal Article Automatic deep learning-based pleural effusion segmentation in lung ultrasound imagesVukovic, Damjan, Wang, Andrew, Antico, Maria, Steffens, Marian, Ruvinov, Igor, van Sloun, Ruud J. G., Canty, David, Royse, Alistair, Royse, Colin, Haji, Kavi, Dowling, Jason, Chetty, Girija and Fontanarosa, Davide (2023). Automatic deep learning-based pleural effusion segmentation in lung ultrasound images. BMC Medical Informatics and Decision Making, 23 (1) 274, 1-14. doi: 10.1186/s12911-023-02362-6 |
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2023 Conference Publication Manipulating medical image translation with manifold disentanglementLiu, Siyu, Dowling, Jason A., Engstrom, Craig, Greer, Peter B., Crozier, Stuart and Chandra, Shekhar S. (2023). Manipulating medical image translation with manifold disentanglement. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, Australia, 28 November-1 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta60407.2023.00053 |
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2023 Journal Article A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter studyTahri, Safaa, Texier, Blanche, Nunes, Jean-Claude, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Chourak, Hilda, Le Guevelou, Jennifer, Greer, Peter, Dowling, Jason, Acosta, Oscar, Bessieres, Igor, Marage, Louis, Boue-Rafle, Adrien, De Crevoisier, Renaud, Lafond, Caroline and Barateau, Anaïs (2023). A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study. Frontiers in Oncology, 13 1279750, 1-12. doi: 10.3389/fonc.2023.1279750 |
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2023 Journal Article Prostate volume analysis in image registration for prostate cancer care: a verification studyBugeja, Jessica M., Mehawed, Georges, Roberts, Matthew J., Rukin, Nicholas, Dowling, Jason and Murray, Rebecca (2023). Prostate volume analysis in image registration for prostate cancer care: a verification study. Physical and Engineering Sciences in Medicine, 46 (4), 1-12. doi: 10.1007/s13246-023-01342-4 |
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2023 Journal Article Determination of acceptable Hounsfield units uncertainties via a sensitivity analysis for an accurate dose calculation in the context of prostate MRI-only radiotherapyChourak, Hilda, Barateau, Anaïs, Greer, Peter, Lafond, Caroline, Nunes, Jean-Claude, de Crevoisier, Renaud, Dowling, Jason and Acosta, Oscar (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 (4), 1703-1711. doi: 10.1007/s13246-023-01333-5 |
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2023 Conference Publication Real-time 3-D reconstruction from multiple simultaneous ultrasound scans for enhanced imagingAntico, Maria, Gillman, Ashley, Belous, Gregg, Lebrat, Leo, Petersson, Lars, Schmutz, Beat, Mejan-Fripp, Jurgen, Dowling, Jason and Fontanarosa, Davide (2023). Real-time 3-D reconstruction from multiple simultaneous ultrasound scans for enhanced imaging. Acoustics 2023 Sydney, Sydney, NSW Australia, 4-8 December 2023. Melville, NY United States: AIP Publishing. doi: 10.1121/10.0023047 |
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2023 Journal Article Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learningTexier, Blanche, Hémon, Cédric, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar, Boue-Rafle, Adrien, Guevelou, Jennifer Le, de Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anaïs and Nunes, Jean-Claude (2023). Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning. Physics and Imaging in Radiation Oncology, 28 100511, 1-7. doi: 10.1016/j.phro.2023.100511 |
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2023 Journal Article Improving chest X-ray report generation by leveraging warm startingNicolson, Aaron, Dowling, Jason and Koopman, Bevan (2023). Improving chest X-ray report generation by leveraging warm starting. Artificial Intelligence in Medicine, 144 102633, 1-17. doi: 10.1016/j.artmed.2023.102633 |
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2023 Conference Publication Innovative AI techniques to aid clinical diagnosis of complex lung pathologies in ultrasound imagesAntico, Maria, Moafa, Khalid, Vukovic, Damjan, Edwards, Christopher, Dowling, Jason, Canty, David, Steffens, Marian and Fontanarosa, Davide (2023). Innovative AI techniques to aid clinical diagnosis of complex lung pathologies in ultrasound images. Acoustics 2023 Sydney, Sydney, NSW Australia, 4-8 December 2023. Melville, NY United States: AIP Publishing. doi: 10.1121/10.0023344 |
