Abhirup Banerjee

Dr Abhirup Banerjee is an Associate Member of Faculty at the University of Oxford, affiliated with the Department of Engineering Science. His research focuses on Multimodal Reconstruction and Analysis of Digital Anatomy for Real-Time Clinical Interventions, including Segmentation, Landmark Detection, Tracking, Motion Modelling, Reconstruction, Registration, and Fusion of 2D/3D/3D+t Human Anatomical Structures and Physiological information. 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. His work involves reconstructing patient-specific 3D/4D cardiac structures from coronary angiography, cardiac MRI, and ECG. Dr Banerjee’s 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.

Abhirup Banerjee is a researcher specializing in biomedical image analysis, AI, machine learning, and statistical pattern recognition. His work focuses on developing advanced computational models for medical imaging, particularly in cardiology and neuroimaging. Banerjee has published extensively on topics such as automated 3D cardiac anatomy reconstruction from MRI, deep learning for disease classification in chest X-rays, and the integration of AI with electrocardiogram data for heart failure risk prediction. His research also explores the use of machine learning in predicting SARS-CoV-2 infection and analyzing complex biological data such as neutrophil mobilization and calcium dysregulation in Parkinson’s disease.