Dr
Abhirup Banerjee
BSc MStat PhD
Royal Society University Research Fellow
Full Member of Faculty
Research Fellow at Wolfson College
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All publications by Dr Banerjee
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)
Clinical Utility of Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-segment-Elevation Myocardial Infarction
Shanmuganathan M,  Nikolaidou C,  Burrage MK,  Borlotti A,  Kotronias R,  Scarsini R,  Banerjee A,  Terentes-Printzios D,  Pitcher A,  Gara E,  Langrish J,  Lucking A,  Choudhury R,  De Maria GL,  Banning A,  investigators OS,  Piechnik SK,  Channon KM,  Ferreira VM,  et al. (2024)
Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation.
Leo M,  Banerjee A,  Gala ABE,  Pope M,  Pedersen M,  Rajappan K,  Ginks M,  Bashir Y,  Hunter RJ,  Betts T,  et al. (2024)
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning
Mamalakis M,  Banerjee A,  Ray S,  Wilkie C,  Clayton RH,  Swift AJ,  Panoutsos G,  Vorselaars B,  et al. (2024)
Uncertainty Quantification in Deep Learning Framework for Mallampati Classification
Mahato A,  Sarangi P,  Kurmi VK,  Banerjee A,  Goyal A,  Basu T,  et al. (2024)
Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation
van Zijl N,  Banerjee A,  Payne SJ,  et al. (2024)
Impact of adjacent thoracic structures in negative left atrial remodelling in atrial fibrillation
Sharp AJ,  Pope MTB,  Gala ABE,  Varini R,  Betts TR,  Banerjee A,  et al. (2024)
Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19
Shanmuganathan M,  Kotronias RA,  Burrage MK,  Ng Y,  Banerjee A,  Xie C,  Fletcher A,  Manley P,  Borlotti A,  Emfietzoglou M,  Mentzer AJ,  Marin F,  Raman B,  Tunnicliffe EM,  et al. (2023)
3D shape-based myocardial infarction prediction using point cloud classification networks
Beetz M,  Yang Y,  Banerjee A,  Li L,  Grau V,  et al. (2023)
Influence of myocardial infarction on QRS properties: a simulation study
Li L,  Camps J,  Wang Z,  Banerjee A,  Rodriguez B,  Grau V,  et al. (2023)
Calcium dysregulation combined with mitochondrial failure and electrophysiological maturity converge in Parkinson’s iPSC-dopamine neurons
Beccano-Kelly DA,  Cherubini M,  Mousba Y,  Cramb KML,  Giussani S,  Caiazza MC,  Rai P,  Vingill S,  Bengoa-Vergniory N,  Ng B,  Corda G,  Banerjee A,  Vowles J,  Cowley S,  Wade-Martins R,  et al. (2023)
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Beetz M,  Yang Y,  Banerjee A,  Li L,  Grau V,  et al. (2023)
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction
Beetz M,  Banerjee A,  Grau V,  et al. (2023)
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
Beetz M,  Banerjee A,  Grau V,  et al. (2023)
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Beetz M,  Banerjee A,  Ossenberg-Engels J,  Grau V,  et al. (2023)
Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction
Smith HJ,  Rodriguez B,  Sang Y,  Beetz M,  Choudhury R,  Grau V,  Banerjee A,  et al. (2023)
HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning
Alkhodari M,  Lapidaire W,  Xiong Z,  Kart T,  Iturria-Medina Y,  Hadjileontiadis L,  Khandoker A,  Lewandowski AJ,  Banerjee A,  Leeson P,  et al. (2023)
Predicting 3D cardiac deformations with point cloud autoencoders
Beetz M,  Ossenberg-Engels J,  Banerjee A,  Grau V,  et al. (2022)
Rapid neutrophil mobilization by VCAM-1+ endothelial cell-derived extracellular vesicles
Akbar N,  Braithwaite AT,  Corr EM,  Koelwyn GJ,  van Solingen C,  Cochain C,  Saliba A-E,  Corbin A,  Pezzolla D,  Møller Jørgensen M,  Bæk R,  Edgar L,  De Villiers C,  Gunadasa-Rohling M,  Banerjee A,  Paget D,  Lee C,  Hogg E,  Costin A,  Dhaliwal R,  Johnson E,  Krausgruber T,  Riepsaame J,  Melling GE,  et al. (2022)
Semi-supervised coronary vessels segmentation from invasive coronary angiography with connectivity-preserving loss function
He H,  Banerjee A,  Beetz M,  Choudhury RP,  Grau V,  Ieee ,  et al. (2022)
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,  Banerjee A,  Gala AB,  Pope M,  Pedersen M,  Rajappan K,  Ginks M,  Bashir Y,  Hunter RJ,  Betts T,  et al. (2022)
Development of a mortality prediction model in hospitalised SARS-CoV-2 positive patients based on routine kidney biomarkers
Boss AN,  Banerjee A,  Mamalakis M,  Ray S,  Swift AJ,  Wilkie C,  Fanstone JW,  Vorselaars B,  Cole J,  Weeks S,  Mackenzie LS,  et al. (2022)
Automated torso contour extraction from clinical cardiac MR slices for 3D torso reconstruction
Smith HJ,  Banerjee A,  Choudhury RP,  Grau V,  et al. (2022)
Automated 3D whole-heart mesh reconstruction from 2D cine MR slices using statistical shape model
Banerjee A,  Zacur E,  Choudhury RP,  Grau V,  et al. (2022)
Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets
Beetz M,  Banerjee A,  Grau V,  et al. (2022)
A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays
Ray S,  Banerjee A,  Swift A,  Fanstone JW,  Mamalakis M,  Vorselaars B,  Wilkie C,  Cole J,  Mackenzie LS,  Weeks S,  et al. (2022)
Acute response in the noninfarcted myocardium predicts long-term major adverse cardiac events after STEMI
Shanmuganathan M,  Masi A,  Burrage MK,  Kotronias RA,  Borlotti A,  Scarsini R,  Banerjee A,  Terentes-Printzios D,  Zhang Q,  Hann E,  Tunnicliffe E,  Lucking A,  Langrish J,  Kharbanda R,  De Maria GL,  Banning AP,  Choudhury RP,  Channon KM,  Piechnik SK,  Ferreira VM,  et al. (2022)
Interpretable cardiac anatomy modeling using variational mesh autoencoders
Beetz M,  Corral Acero J,  Banerjee A,  Eitel I,  Zacur E,  Lange T,  Stiermaier T,  Evertz R,  Backhaus SJ,  Thiele H,  Bueno-Orovio A,  Lamata P,  Schuster A,  Grau V,  et al. (2022)
Post-Infarction Risk Prediction with Mesh Classification Networks
Beetz M,  Acero JC,  Banerjee A,  Eitel I,  Zacur E,  Lange T,  Stiermaier T,  Evertz R,  Backhaus SJ,  Thiele H,  Bueno-Orovio A,  Lamata P,  Schuster A,  Grau V,  et al. (2022)
Mesh U-Nets for 3D Cardiac Deformation Modeling
Beetz M,  Acero JC,  Banerjee A,  Eitel I,  Zacur E,  Lange T,  Stiermaier T,  Evertz R,  Backhaus SJ,  Thiele H,  Bueno-Orovio A,  Lamata P,  Schuster A,  Grau V,  et al. (2022)
Deep Computational Model for the Inference of Ventricular Activation Properties
Li L,  Camps J,  Banerjee A,  Beetz M,  Rodriguez B,  Grau V,  et al. (2022)
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets
Beetz M,  Banerjee A,  Grau V,  et al. (2022)
DenResCov-19: a deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
Mamalakis M,  Swift AJ,  Vorselaars B,  Ray S,  Weeks S,  Ding W,  Clayton RH,  Mackenzie LS,  Banerjee A,  et al. (2021)
LUCAS: A highly accurate yet simple risk calculator that predicts survival of COVID-19 patients using rapid routine tests
Ray S,  Swift A,  Fanstone JW,  Banerjee A,  Mamalakis M,  Vorselaars B,  Mackenzie LS,  Weeks S,  et al. (2021)
Optimised misalignment correction from cine MR slices using statistical shape model
Banerjee A,  Zacur E,  Grau V,  Choudhury RP,  et al. (2021)
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,  De Maria GL,  Briosa E Gala A,  Pope M,  Banerjee A,  Kelion A,  Pedersen M,  Rajappan K,  Ginks M,  Bashir Y,  Hunter RJ,  Betts T,  et al. (2021)
A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices
Banerjee A,  Camps J,  Zacur E,  Andrews CM,  Rudy Y,  Choudhury RP,  Rodriguez B,  Grau V,  et al. (2021)
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.
Mamalakis M,  Swift AJ,  Vorselaars B,  Ray S,  Weeks S,  Ding W,  Clayton RH,  Mackenzie LS,  Banerjee A,  et al. (2021)
1 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
Shanmuganathan M,  Masi A,  Burrage MK,  Kotronias RA,  Borlotti A,  Scarsini R,  Banerjee A,  Terentes-Printzios D,  Zhang Q,  Hann E,  Tunnicliffe E,  Lucking A,  Langrish J,  Kharbanda R,  Luigi de Maria G,  Banning AP,  Choudhury RP,  Channon KM,  Piechnik SK,  Ferreira VM,  et al. (2021)
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
Shanmuganathan M,  Masi A,  Burrage MK,  Kotronias RA,  Borlotti A,  Scarsini R,  Banerjee A,  Terentes-Printzios D,  Zhang Q,  Hann E,  Tunnicliffe E,  Lucking A,  Langrish J,  Kharbanda R,  de Maria GL,  Banning AP,  Choudhury RP,  Channon KM,  Piechnik SK,  Ferreira VM,  et al. (2021)
Insights into electrophysiological mechanisms of atrial fibrillation propagation using simultaneous bi-atrial mapping
Pope M,  Kuklik P,  Banerjee A,  Briosa e Gala A,  Leo M,  Mahmoudi M,  Paisey J,  Betts T,  et al. (2021)
Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population
Banerjee A,  Ray S,  Vorselaars B,  Kitson J,  Mamalakis M,  Weeks S,  Baker M,  Mackenzie LS,  et al. (2020)
Endothelial cell-derived extracellular vesicles elicit neutrophil deployment from the spleen following acute myocardial infarction
Akbar N,  Braithwaite A,  Corr E,  Koelwyn G,  van Solingen C,  Cochain C,  Saliba A-E,  Corbin A,  Pezzolla D,  Edgar L,  Gunadasa-Rohling M,  Banerjee A,  Paget D,  Lee C,  Hogg E,  Costin A,  Dhaliwal R,  Johnson E,  Krausgruber T,  Riepsaame J,  Melling G,  Shanmuganathan M,  Acute Myocardial Infarction Study O,  Bock C,  Carter D,  et al. (2020)
Endothelial cell derived extracellular vesicles mediate neutrophil deployment from the spleen following acute myocardial infarction
Akbar N,  Corbin A,  Dawkins S,  Lee C,  Hogg E,  Edgar L,  Gunadasa-Rohling M,  Banerjee A,  Melling G,  Dragovic R,  Carter D,  Riley P,  Udalova I,  Channon KM,  Anthony D,  Choudhury RP,  Infarction OAM,  et al. (2019)
Point-cloud method for automated 3D coronary tree reconstruction from multiple non-simultaneous angiographic projections
Banerjee A,  Galassi F,  Zacur E,  De Maria GL,  Choudhury R,  Grau V,  et al. (2019)
Impaired myocardial healing in patients with diabetes after ST-elevation myocardial infarction
Oxford Acute Myocardial Infarction (OxAMI) Study ,  Wamil M,  Borlotti A,  Banerjee A,  Gaughran L,  De Maria G,  Banning A,  Kharbanda R,  Choudhury R,  et al. (2019)
Endothelial cell derived extracellular vesicles mediate immune cell deployment from the spleen and transcriptional programming following acute myocardial infarction
Akbar N,  Corbin A,  Hogg E,  Banerjee A,  Lee C,  Melling G,  Edgar L,  Dragovic R,  Carter D,  Riley P,  Udalova I,  Anthony D,  Choudhury R,  et al. (2019)
Contraharmonic Mean Based Bias Field Correction in MR Images
Banerjee A,  Maji P,  et al. (2013)
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. ()
Automated CMR index of left ventricular diastolic function post-acute myocardial infarction provides independent and incremental prediction of long-term prognosis when added to conventional indices
Shanmuganathan M,  Gonzales Vera R,  Burrage M,  Arvidsson P,  Banerjee A,  Çakir I,  Seemann F,  Heiberg E,  Peters D,  Zhang Q,  Channon K,  Piechnik S,  Ferreira V,  et al. ()
Automated continuous rhythm monitoring with implantable cardiac monitor and real-time smartphone alerts during af episodes: SMART-ALERT study
Gala ABE,  Pope MTB,  Leo M,  Sharp AJ,  Varini R,  Paisey JR,  Curzen N,  Banerjee A,  Betts TR,  et al. ()
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Nan Y,  Xing X,  ShiyiWang ,  Tang Z,  Felder FN,  Zhang S,  Ledda RE,  Ding X,  Yu R,  Liu W,  Shi F,  Sun T,  Cao Z,  Zhang M,  Gu Y,  Zhang H,  Gao J,  Wang P,  Tang W,  Yu P,  Kang H,  Chen J,  Lu X,  Zhang B,  Mamalakis M,  Prinzi F,  Carlini G,  Cuneo L,  Banerjee A,  Xing Z,  Zhu L,  Mesbah Z,  Jain D,  Mayet T,  Yuan H,  Lyu Q,  Qayyum A,  Mazher M,  Wells A,  Walsh SL,  Yang G,  et al. ()
Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
Lashgari M,  Choudhury RP,  Banerjee A,  et al. ()
Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
Wang Y,  Banerjee A,  Choudhury RP,  Grau V,  et al. ()
Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders
Seale T,  Beetz M,  Rodriguez B,  Grau V,  Banerjee A,  et al. ()
“Real-world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study
Gala ABE,  Pope MTB,  Leo M,  Sharp AJ,  Banerjee A,  Field D,  Thomas H,  Balasubramaniam R,  Hunter R,  Gardner RS,  Wilson D,  Gallagher MM,  Ormerod J,  Paisey J,  Curzen N,  Betts TR,  et al. ()
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections by Neural Implicit Representation
Wang Y,  Banerjee A,  Grau V,  et al. ()
TCPNet: A Novel Tumor Contour Prediction Network Using MRIs
Agarwal S,  Kurmi VK,  Banerjee A,  Basu T,  et al. ()
New Trends of Adversarial Machine Learning for Data Fusion and Intelligent System
Ding W,  Zhang Z,  Martínez L,  Huang Y,  Cao Z,  Liu J,  Banerjee A,  et al. ()