LOCATION
John Radcliffe Hospital, Level 6, Headley Way, Headington, Oxford, OX3 9DU
Websites
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NDS AI Theme
AI in NDS
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AICT Consortium
AICT
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NetZeroAICT Consortium
NetZeroAICT
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Oxford University Clinical Academics Graduate Shool
OUCAGS
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RDM Cardiovascular Medicine
RDM Oxford
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Target Discovery Institute
NDM Oxford
Regent Lee
MBBS, MS(Vasc Surg), DPhil (Oxon), FRCS (Vasc Surg)
Professor of Interdisciplinary Innovations
- UKRI Future Leaders Fellow
- Principal Investigator: OxAAA Study
- Chief Investigator: NetZeroAICT Consortium
- Chief Investigator: AICT Consortium
Regent came to Oxford as an exchange surgical fellow in 2009, having completed a Master in Surgery (Vascular Surgery) at University of Sydney. He subsequently completed DPhil in Cardiovascular Medicine, under the supervision of Professor Keith Channon (RDM Cardiovascular Medicine) and Professor Benedikt Kessler (NDM, Target Discovery Institute).
Regent's research focuses on integrative assessments of biomarkers for the investigation of cardiovascular pathologies such as atherosclerosis or abdominal aortic aneurysms. He is developing new methods to characterise novel biological signals in blood tests and clinical scans (such as ultrasound scans and computerised tomography imaging).
He is leading International Transdisciplinary Consortia (AICT, NetZeroAICT) to advance AI science for CT imaging. The applications of his research will improve healthcare delivery, patient journeys and planetary health. He led the Consortia to successful Horizon Europe funding, as featured in this news release by University of Oxford.
Prior to his UKRI Future Leaders Fellowship, Regent had received research awards from the Royal Australasian College of Surgeons, including the Lumley Surgical Research Fellowship, Foundation of Surgery Research Scholarship, and the Surgeon Scientist Scholarship. His work is also supported by the Oxford University Medical Sciences Division, Oxford Biomedical Research Centre, British Heart Foundation Oxford Centre of Research Excellence, Academy of Medical Sciences, and Heart Research UK.
Regent has led several Patient and Public Involvement activities for the OxAAA study, including the OxAAA Aneurysm Awareness Day and the OxAAA International Survey. These work has been generously supported by the Oxford University Vice Chancellor's Public Engagement in Research Seed Award, and Patient Active in Research (PAIR) Thames Valley.
Regent is a clinically active academic surgeon and currently an Honorary consultant vascular surgeon at the Oxford University Hospitals NHS Foundation Trust.
Key publications
Prediction of Abdominal Aortic Aneurysm Growth Using Geometric Assessment of Computerized Tomography Images Acquired during the Aneurysm Surveillance Period
Journal article
Chandrashekar A. et al, (2023), Annals of Surgery, 277, E175 - E183
A Deep Learning Pipeline to Automate High-Resolution Arterial Segmentation with or Without Intravenous Contrast
Journal article
Chandrashekar A. et al, (2022), Annals of Surgery, 276, E1017 - E1027
Integrated Plasma and Tissue Proteomics Reveals Attractin Release by Intraluminal Thrombus of Abdominal Aortic Aneurysms and Improves Aneurysm Growth Prediction in Humans
Journal article
Lee R. et al, (2022), Annals of Surgery, 275, 1206 - 1211
A deep learning approach to generate contrast-enhanced computerised tomography angiograms without the use of intravenous contrast agents
Conference paper
Chandrashekar A. et al, (2020), EUROPEAN HEART JOURNAL, 41, 156 - 156
Integrated Physiological and Biochemical Assessments for the Prediction of Growth of Abdominal Aortic Aneurysms in Humans
Journal article
Lee R. et al, (2019), Annals of Surgery, 270, e1 - e3
Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans
Journal article
Lee R. et al, (2018), Ejves Short Reports, 39, 24 - 28
Recent publications
A Core Outcome Set for Intact Abdominal Aortic Aneurysms Under Surveillance
Journal article
Zwetsloot SLM. et al, (2026), Annals of Vascular Surgery, 129, 275 - 289
Lipoprotein(a) and Abdominal Aortic Aneurysm
Journal article
Lee R., (2026), Jacc Basic to Translational Science, 11
Artificial Intelligence Based Mobile Health Applications for Patients with Abdominal Aortic Aneurysms and Peripheral Arterial Disease: Patients’ and Healthcare Workers’ Attitudes
Journal article
Zwetsloot SL. et al, (2026), European Journal of Vascular and Endovascular Surgery
Why academics should do more consulting — and how to make it work
Journal article
Slater LJ. et al, (2026), Nature, 649, 27 - 29
AortaDiff: A Unified Multitask Diffusion Framework for Contrast-Free AAA Imaging
Conference paper
Ou Y. et al, (2026), Proceedings 2026 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2026, 8242 - 8251
Commercialization of medical artificial intelligence technologies: challenges and opportunities
Journal article
Li B. et al, (2025), Npj Digital Medicine, 8