Contact information
abhirup.banerjee@eng.ox.ac.uk
abhirup.banerjee@cardiov.ox.ac.uk
+44 (0) 1865 617667
https://eng.ox.ac.uk/people/abhirup-banerjee/
https://orcid.org/0000-0001-8198-5128
Institute of Biomedical Engineering, Old Road Campus Research Building, Oxford OX3 7DQ
Colleges
Abhirup Banerjee
MStat, PhD, FDIRDI
Royal Society University Research Fellow
Multimodal Medical Data Integration & Analysis
My research work is mainly focused on the Multimodal Medical Data Integration & Analysis. I have joined the Department of Engineering Science, University of Oxford as the Royal Society University Research Fellow from October 2022. I previously worked as the Postdoctoral Researcher with Prof. Robin Choudhury (CVM) since August 2017 and currently hold the Visitor Status in the CVM.
I have developed a novel solution for automated 3D CA tree reconstruction from multiple 2D angiographic projections and currently working on the application of 3D model for non-invasive extraction of clinically significant information. Along with my main research in cardiovascular imaging, I am involved in 3D reconstruction of cerebrovascular tree, biliary tree, etc. I served as the Stipendiary Lecturer in Engineering Science in the Mansfield College, Oxford.
I have received the BSc (Hons) and Master degree both in Statistics from the University of Calcutta and the Indian Statistical Institute, respectively. I have obtained my Ph.D. degree in Computer Science from the Indian Statistical Institute, Kolkata, for my work on Automated Segmentation of Brain Tissue Classes from MR Images.
I serve as an Innovation Champion in the Oxford University Innovation and a Mental Health First Aider in the RDM. In my personal life, I am an avid movie buff and a street photographer.
Key publications
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Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.
He H. et al, (2025), Med Image Anal, 102
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Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.
Sharp AJ. et al, (2025), R Soc Open Sci, 12
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Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.
Beetz M. et al, (2023), Med Image Anal, 90
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A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices.
Banerjee A. et al, (2021), Philos Trans A Math Phys Eng Sci, 379
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Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections.
Banerjee A. et al, (2020), IEEE Trans Med Imaging, 39, 1278 - 1290
Recent publications
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Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.
Li L. et al, (2025), Med Image Anal, 101
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Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques.
Sharp AJ. et al, (2025), Europace, 27
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Splitting and Merging for Active Contours: Plug-and-Play
Lashgari M. et al, (2025), Mathematics, 13
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Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.
He H. et al, (2025), Med Image Anal, 102
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Modeling the Mechanisms of Non-Neurogenic Dynamic Cerebral Autoregulation.
van Zijl N. et al, (2025), IEEE Trans Biomed Eng, 72, 577 - 585