Dr
Abhirup Banerjee
MStat PhD FDIRDI
Royal Society University Research Fellow
Research Fellow at Wolfson College
Principal Investigator
Email:
Tel: +44 1865 617667
College: Wolfson College
Location: Institute of Biomedical Engineering, Old Road Campus Research Building, Oxford OX3 7DQ
Research Building: Old Road Campus Research Building

Dr Abhirup Banerjee is a Royal Society University Research Fellow and Principal Investigator at the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford. His research lies at the intersection of cardiovascular science, artificial intelligence, and computational modelling, with a focus on digital twins, geometric machine learning, and multimodal data integration for cardiac diagnostics and interventions.

He leads the Multimodal Medical Data Integration & Analysis (MultiMeDIA) Lab, where his team develops personalised, predictive models of cardiac anatomy and function using large-scale imaging and physiological datasets. A key aspect of his work involves reconstructing patient-specific 3D/4D cardiac structures from coronary angiography, cardiac MRI, and ECG. His AI-driven pipelines for coronary reconstruction, infarction modelling, and atrial fibrillation mapping are designed for real-time clinical use and have been patented in collaboration with Oxford University Innovation.

Dr Banerjee’s approach to cardiovascular science is rooted in the application of advanced computational methodologies, including variational autoencoders, point cloud networks, graph-based attention models, and statistical shape analysis. His work exemplifies a commitment to interdisciplinary innovation, translating cutting-edge algorithms into clinically meaningful tools.

He has authored over 80 peer-reviewed publications and serves on the Editorial boards of several international journals. His research has been widely presented at leading scientific meetings, contributing to the advancement of data-driven approaches in cardiovascular medicine. He is also actively engaged in public outreach, regularly participating in science exhibitions, open days, and community engagement events to promote awareness of biomedical engineering and digital health.

Dr Banerjee’s research interests are primarily focused on (but not limited to) Multimodal Reconstruction and Analysis of Digital Anatomy for Real-Time Clinical Interventions; in particular Segmentation, Landmark Detection, Tracking, Motion Modelling, Reconstruction, Registration, and Fusion of 2D/3D/3D+t Human Anatomical Structures (Cardiovascular, Cerebral, Biliary System, etc.) and Physiological information from Multi-Modality including X-ray, Angiography, MRI, CT, US, etc.

The video below showcases some initial research imapcts of Dr Banerjee’s work for patients and the NHS.

 

Biomedical Image Analysis

Mr Mohanad Alkhodari - DPhil Student
Mr Mohammad Atwany - DPhil Student
Dr Mojtaba Lashgari - Research Staff
Mr Zhengda Ma - DPhil Student
Mr Krish Ramadurai - DPhil Student
Miss Thalia Seale - DPhil Student
Dr Alexander Sharp - DPhil Student
Miss Siyu Wang - DPhil Student
Mr Yiying Wang - DPhil Student
Mr Haobo Zhu - DPhil Student

  • Multimodal Reconstruction of Digital Heart for Cardiac Interventions in Real-Time.
  • Building Personalised Heart and Torso Models from Clinical MRI Scans for Simulation of Cardiac Electromechanics.
  • Rough-Probabilistic Modelling for Brain MRI Analysis, etc.

If you are Passionate embarking on a journey together on solving Real-life Biomedical problems with Clinical Impacts, please contact me via Email, LinkedIn, or Twitter. At the moment, I have openings for both DPhil student and Postdoctoral Researcher in my Team.

The Young Scientist Award from the Indian Science Congress Association in the year 2016-2017 in the Section of Information and Communication Science & Technology (including Computer Sciences).

Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.
Sharp AJ,  Pope MTB,  Briosa E Gala A,  Varini R,  Betts TR,  Banerjee A,  et al. (2025)
Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.
Li L,  Smith H,  Lyu Y,  Camps J,  Qian S,  Rodriguez B,  Banerjee A,  Grau V,  et al. (2025)
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network
He H,  Banerjee A,  Choudhury RP,  Grau V,  et al. (2024)
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
Peng J,  Beetz M,  Banerjee A,  Chen M,  Grau V,  et al. (2024)
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Li L,  Camps J,  Wang Z,  Beetz M,  Banerjee A,  Rodriguez B,  Grau V,  et al. (2024)
INtra-procedural ultraSound Imaging for DEtermination of atrial wall thickness and acute tissue changes after isolation of the Pulmonary Veins with radiofrequency, cryoballoon or laser balloon energy: the INSIDE PVs Study
Leo M,  Maria GLD,  Gala ABE,  Pope M,  Banerjee A,  Kelion A,  Pedersen M,  Rajappan K,  Ginks M,  Bashir Y,  Hunter R,  Betts T,  et al. (2024)