Contact information
abhirup.banerjee@cardiov.ox.ac.uk
abhirup.banerjee@ouh.nhs.uk
+44 (0) 7448807087
Colleges
Abhirup Banerjee
PhD, MStat, BSc (Hons)
Royal Society University Research Fellow
Multi-Modal Integration of Cardiac Imaging During Real-Time Catheterisation
As the Senior Postdoctoral Researcher, working with Prof. Robin Choudhury (CVM) and Prof. Vicente Grau (IBME), my research work is mainly focused on the Development of an automated system to co-register 3D coronary arterial (CA) tree from 2D x-ray angiograms with corresponding 3D volume rendering of the heart from cardiac magnetic resonance (CMR). I am joining the Department of Engineering Science, University of Oxford as the Royal Society University Research Fellow from October, 2022.
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 few biomedical imaging projects, such as 3D reconstruction of cerebro-vascular tree, coronary sinus, etc. I have served as the Stipendiary Lecturer in Engineering Science in the Mansfield College, Oxford between January-June 2020.
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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Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections
Journal article
Banerjee A. et al, (2020), IEEE Transactions on Medical Imaging, 39, 1278 - 1290
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Rough sets for bias field correction in MR images using contraharmonic mean and quantitative index.
Journal article
Banerjee A. and Maji P., (2013), IEEE Trans Med Imaging, 32, 2140 - 2151
Recent publications
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Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers
Journal article
Boss AN. et al, (2022), International Journal of Molecular Sciences, 23, 7260 - 7260
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Lesion Size Index (LSI)–guided catheter ablation for atrial fibrillation: can tissue impedance drop help to identify desirable ablation settings and target indices?
Leo M. et al, (2022)
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Rapid neutrophil mobilisation by VCAM-1+ endothelial extracellular vesicles.
Journal article
Akbar N. et al, (2022), Cardiovasc Res
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Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders
Conference paper
Beetz M. et al, (2022), Proceedings - International Symposium on Biomedical Imaging, 2022-March
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Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders
Chapter
Beetz M. et al, (2022), Lecture Notes in Computer Science, 75 - 83
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Multi-Domain Variational Autoencoders for Combined Modeling of MRI-Based Biventricular Anatomy and ECG-Based Cardiac Electrophysiology.
Journal article
Beetz M. et al, (2022), Front Physiol, 13
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Predicting 3D Cardiac Deformations with Point Cloud Autoencoders
Chapter
Beetz M. et al, (2022), Lecture Notes in Computer Science, 219 - 228
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Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function
Conference paper
He H. et al, (2022), Proceedings - International Symposium on Biomedical Imaging, 2022-March
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A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices.
Journal article
Banerjee A. et al, (2021), Philos Trans A Math Phys Eng Sci, 379
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LONG-TERM PROGNOSIS AFTER ACUTE ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION IS DETERMINED BY CHARACTERISTICS IN BOTH NON-INFARCTED AND INFARCTED MYOCARDIUM ON CARDIOVASCULAR MAGNETIC RESONANCE IMAGING
Conference paper
Shanmuganathan M. et al, (2021), HEART, 107, A1 - A1