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Abhirup Banerjee

Dr

Abhirup Banerjee BSc MStat PhD

Royal Society University Research Fellow

Full Member of Faculty

Research Fellow at Wolfson College

Biography

Abhirup Banerjee is a Royal Society University Research Fellow, Full Member of Faculty, and PI in the Department of Engineering Science, University of Oxford. His research is primarily focused on Multimodal Reconstruction of Digital Anatomy for Real-Time Clinical Interventions. Dr Banerjee received the BSc (Hons) and Master degrees in Statistics from the University of Calcutta and the Indian Statistical Institute, respectively. He obtained the PhD degree in Computer Science in March 2017 from the Indian Statistical Institute, Kolkata for his dissertation on Rough-Probabilistic Models for Segmentation and Bias Field Correction in Brain MRI.

He joined the University of Oxford as Postdoctoral Researcher in the Division of Cardiovascular Medicine (CVM), Radcliffe Department of Medicine in August 2017. Dr Banerjee’s research interest spans Biomedical Engineering, Computer Science, and classical Statistics, focusing on a range of topics including Biomedical Image Analysis, Machine Learning, AI, Geometric Deep Learning, Image Processing, Statistical Pattern Recognition, etc. He has served as PI to a Data Study Group project in the Alan Turing Institute. He has received the Young Scientist Award from the Indian Science Congress Association in the year 2016-2017.

Awards and Honours

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).

Most Recent Publications

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

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Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

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Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

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Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction

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Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

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Research Interests

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.

Current Projects

  • 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.

Research Groups

Most Recent Publications

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

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Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Altmetric score is

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

Altmetric score is

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction

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Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

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DPhil & Postdoc Opportunities

If you are Interested in embarking on a journey together on solving Real-life Biomedical problems with Clinical Impacts, please contact me via Email, LinkedIn, or Twitter.

Current Open Positions:

  • Postdoctoral Research Assistant (Deadline: Noon on 2 March 2023)
  • Research Studentship in Biomedical Image Analysis (Deadline: Noon on 1 March 2023)

Most Recent Publications

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

Altmetric score is

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net

Altmetric score is

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.

Altmetric score is

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction

Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction

Altmetric score is

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images

Altmetric score is
View all