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2026

Journal Article

Artificial Intelligence prognostication of liver disease using imaging

Chouhan, Manil D, McLean, Kate, Thomas, James A and Dowling, Jason (2026). Artificial Intelligence prognostication of liver disease using imaging. British Journal of Radiology tqag070. doi: 10.1093/bjr/tqag070

Artificial Intelligence prognostication of liver disease using imaging

2026

Journal Article

Review of techniques and technologies for mosaicking ultrasound volumes

Bell, Claudia, Antico, Maria, Edwards, Christopher, Dowling, Jason, Belous, Gregg and Fontanarosa, Davide (2026). Review of techniques and technologies for mosaicking ultrasound volumes. Ultrasound in Medicine and Biology, 52 (2), 272-283. doi: 10.1016/j.ultrasmedbio.2025.10.019

Review of techniques and technologies for mosaicking ultrasound volumes

2026

Journal Article

The long and winding road of radiomics: learnings from two meta-analyses of the radiomics quality score

Barry, Nathaniel, Kendrick, Jake, Molin, Kaylee, Li, Suning, Rowshanfarzad, Pejman, Hassan, Ghulam Mubashar, Dowling, Jason A, Ong, Jeremy Sze Luong, Parizel, Paul M, Hofman, Michael S, Kocak, Burak, Cuocolo, Renato and Ebert, Martin Andrew (2026). The long and winding road of radiomics: learnings from two meta-analyses of the radiomics quality score. Physics in Medicine & Biology, 71 (3) PMID 401220, 03TR02-3. doi: 10.1088/1361-6560/ae36e0

The long and winding road of radiomics: learnings from two meta-analyses of the radiomics quality score

2026

Journal Article

Implementation of an automated contour quality assurance tool within the TROG 18.01 NINJA trial

Chlap, Phillip, Min, Hang, Martin, Jarad, Sidhom, Mark, Chan, Li Xiong, Whitehead, Angela, Moore, Alisha, Dowling, Jason, Field, Matthew, Haworth, Annette, Ebert, Martin A., Vinod, Shalini K. and Holloway, Lois (2026). Implementation of an automated contour quality assurance tool within the TROG 18.01 NINJA trial. Radiotherapy and Oncology, 214 111269, 1-7. doi: 10.1016/j.radonc.2025.111269

Implementation of an automated contour quality assurance tool within the TROG 18.01 NINJA trial

2026

Journal Article

The impact of bladder and rectal dynamics on prostate and seminal vesicles intrafraction motion and deformation in radiotherapy

Lunardo, Febrio, Tan, Alex, Baker, Laura, Baines, John, Squire, Timothy, Dowling, Jason A., Azghadi, Mostafa Rahimi and Gillman, Ashley G. (2026). The impact of bladder and rectal dynamics on prostate and seminal vesicles intrafraction motion and deformation in radiotherapy. Physics and Imaging in Radiation Oncology, 37 100925, 100925-37. doi: 10.1016/j.phro.2026.100925

The impact of bladder and rectal dynamics on prostate and seminal vesicles intrafraction motion and deformation in radiotherapy

2026

Journal Article

Convolutional automatic identification of B-lines and interstitial syndrome in lung ultrasound images using pre-trained neural networks with feature fusion

Moafa, Khalid, Antico, Maria, Vukovic, Damjan, Edwards, Christopher, Canty, David, Cid Serra, Ximena, Royse, Alistair, Royse, Colin, Haji, Kavi, Dowling, Jason, Steffens, Marian and Fontanarosa, Davide (2026). Convolutional automatic identification of B-lines and interstitial syndrome in lung ultrasound images using pre-trained neural networks with feature fusion. Frontiers in Digital Health, 7 1632376, 7. doi: 10.3389/fdgth.2025.1632376

Convolutional automatic identification of B-lines and interstitial syndrome in lung ultrasound images using pre-trained neural networks with feature fusion

2025

Journal Article

Prostate cancer radiation therapy shape variation analysis

Leung, Sze-Nung, Dowling, Jason A., Greer, Peter and Chandra, Shekhar S. (2025). Prostate cancer radiation therapy shape variation analysis. Physical and Engineering Sciences in Medicine, 49 (1), 505-513. doi: 10.1007/s13246-025-01683-2

Prostate cancer radiation therapy shape variation analysis

2025

Conference Publication

Automated Clinical Target Volume Contour Quality Assurance for the TROG 08.08 TOPGEAR Trial

Chlap, P., Lee, M.T., Leong, T., Field, M., Dowling, J., Min, H., Chu, J., Tan, J., Tran, P.K., Kron, T., Haworth, A., Court, L.E., Ebert, M.A., Vinod, S. and Holloway, L. (2025). Automated Clinical Target Volume Contour Quality Assurance for the TROG 08.08 TOPGEAR Trial. ASTRO 2025: 67th Annual Meeting, San Francisco, CA United States, 28-30 September 2025. Philadelphia, PA United States: Elsevier. doi: 10.1016/j.ijrobp.2025.06.1089

Automated Clinical Target Volume Contour Quality Assurance for the TROG 08.08 TOPGEAR Trial

2025

Journal Article

Video-based CSwin transformer using selective filtering technique for interstitial syndrome detection

Moafa, Khalid, Antico, Maria, Edwards, Christopher, Steffens, Marian, Dowling, Jason, Canty, David and Fontanarosa, Davide (2025). Video-based CSwin transformer using selective filtering technique for interstitial syndrome detection. Applied Sciences, 15 (16) 9126, 1-25. doi: 10.3390/app15169126

Video-based CSwin transformer using selective filtering technique for interstitial syndrome detection

2025

Journal Article

Phase 2a/b randomised placebo-controlled dose-escalation trial of triheptanoin for ataxia-telangiectasia: treating mitochondrial dysfunction with anaplerosis

Lynch, Matthew, Manoy, Sophie, Sly, Peter D., Wainwright, Claire E., Wolvetang, Ernst, Feenstra, John E., Dowling, Jason, Ware, Robert S., Patel, Maharshi S., Hermith-Ramirez, Diana, Vogel, Adam, Preece, Kahn, Zappala, Tania, Dai, Shuan, Webber, Ann, Yeo, Abrey, Subramanian, Goutham, Rao, Geetha, Ma, Cindy S., Jose, Sara, Gatei, Magtouf, Xin, Bowen, Sandona, Nicoletta, Lewindon, Peter, Sinclair, Katherine G., Nayler, Sam, Lavin, Martin F. and Coman, David J. (2025). Phase 2a/b randomised placebo-controlled dose-escalation trial of triheptanoin for ataxia-telangiectasia: treating mitochondrial dysfunction with anaplerosis. eBioMedicine, 118 105840, 1-17. doi: 10.1016/j.ebiom.2025.105840

Phase 2a/b randomised placebo-controlled dose-escalation trial of triheptanoin for ataxia-telangiectasia: treating mitochondrial dysfunction with anaplerosis

2025

Journal Article

How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data context

Lunardo, 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, 48 (1), 409-419. doi: 10.1007/s13246-024-01514-w

How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data context

2025

Journal Article

Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis

Han, 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

Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis

2025

Journal Article

Correction to: Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis (European Radiology, (2025), 35, 3, (1701-1713), 10.1007/s00330-024-11341-y)

Barry, Nathaniel, Kendrick, Jake, Molin, Kaylee, Li, Suning, Rowshanfarzad, Pejman, Hassan, Ghulam M., Dowling, Jason, Parizel, Paul M., Hofman, Michael S. and Ebert, Martin A. (2025). Correction to: Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis (European Radiology, (2025), 35, 3, (1701-1713), 10.1007/s00330-024-11341-y). European Radiology, 35 (3) e240262, 1701-1713. doi: 10.1007/s00330-025-11570-9

Correction to: Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis (European Radiology, (2025), 35, 3, (1701-1713), 10.1007/s00330-024-11341-y)

2025

Conference Publication

Proof-of-concept autonomous wearable ultrasound platform for enhanced medical imaging in space missions

Antico, Maria, Premasiri, Swapna, Fontanarosa, Davide and Dowling, Jason (2025). Proof-of-concept autonomous wearable ultrasound platform for enhanced medical imaging in space missions. IAF/IAA Space Life Sciences Symposium, Sydney, NSW, Australia, 29 September - 3 October 2025. Oxford, United Kingdom: Pergamon Press plc. doi: 10.52202/083074-0015

Proof-of-concept autonomous wearable ultrasound platform for enhanced medical imaging in space missions

2025

Conference Publication

The impact of auxiliary patient data on automated chest x-ray report generation and how to incorporate it

Nicolson, Aaron, Zhuang, Shengyao, Dowling, Jason and Koopman, Bevan (2025). The impact of auxiliary patient data on automated chest x-ray report generation and how to incorporate it. 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, Austria, 27 July - 1 August 2025. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2025.acl-long.9

The impact of auxiliary patient data on automated chest x-ray report generation and how to incorporate it

2024

Journal Article

A pilot study of PSMA PET/CT and MRI fusion for prostate cancer: Software to replace PET/MRI hardware

Mehawed, 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

A pilot study of PSMA PET/CT and MRI fusion for prostate cancer: Software to replace PET/MRI hardware

2024

Journal Article

Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans

Lye, 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

Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans

2024

Journal Article

Longitudinal data and a semantic similarity reward for chest X-ray report generation

Nicolson, 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, 1-15. doi: 10.1016/j.imu.2024.101585

Longitudinal data and a semantic similarity reward for chest X-ray report generation

2024

Journal Article

Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets

Chlap, 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

Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets

2024

Journal Article

3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy

Texier, 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

3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy