Publications from the MultiMeDIA lab | Department of Engineering Science | University of Oxford
MultiMeDIA Publications
Early Access Articles
- Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios Hadjileontiadis, Ahsan Khandoker, Adam Lewandowski, Abhirup Banerjee, & Paul Leeson, “HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning”, Proc. 17th IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (Accepted), Istanbul, Turkey, Dec 2023. (Oral; Acceptance Rate: 19.5%)
- Dayne A. Beccano-Kelly, Marta Cherubini, Yassine Mousba, Kaitlyn Cramb, Stefania Giussani, Pavandeep Rai, Siv Vingill, Nora Bengoa-Vernigory, Bryan Ng, Gabriele Corda, Abhirup Banerjee, Jane Vowles, Sally Cowley, & Richard Wade-Martins, “Calcium Dysregulation, Mitochondrial Failure and Electrophysiological Maturity Converge to Confer Vulnerability in Parkinson’s iPSC-Dopamine Neurons”, iScience (In Press), June 2023. (IF: 6.107)
- † Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction”, Proc. Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Accepted), October 2023. (Top 13.6% out of 2253 papers)
- † Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, & Vicente Grau, “3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks”, Proc. 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC) (In Press), Sydney, Australia, July 2023.
- Lei Li, Julia Camps, Zhinuo (Jenny) Wang, Abhirup Banerjee, Blanca Rodriguez, & Vicente Grau, “Influence of Myocardial Infarction on QRS Properties: A Simulation Study”, Proc. 12th International Conference on Functional Imaging and Modeling of the Heart (FIMH) (In Press), April 2023.
Patents
- A. Banerjee, R. P. Choudhury, and V. Grau, “Reconstruction method of organ vessel centerline”, US Patent Publication No. 2022/0020215 A1, filed by Oxford University Innovation (OUI), January 2022.
Published articles
Real-time smartphone alerts during atrial fibrillation episodes with implantable cardiac monitors and wearable devices: SMART-ALERT study
Briosa E Gala A, Sharp A, Pope MTB, Leo M, Varini R et al. (2025), Heart Rhythm
BibTeX
@article{realtimesmartph-2025/4,
title={Real-time smartphone alerts during atrial fibrillation episodes with implantable cardiac monitors and wearable devices: SMART-ALERT study},
author={Briosa E Gala A, Sharp A, Pope MTB, Leo M, Varini R et al.},
journal={Heart Rhythm},
publisher={Elsevier},
year = "2025"
}
Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction
Sang Y, Banerjee A, Beetz M & Grau V (2025), Frontiers in Digital Health, 7
BibTeX
@article{deepconditional-2025/4,
title={Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction},
author={Sang Y, Banerjee A, Beetz M & Grau V},
journal={Frontiers in Digital Health},
volume={7},
number={1558589},
publisher={Frontiers Media},
year = "2025"
}
Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques
Sharp AJ, Pope MT, Briosa e Gala A, Varini R, Banerjee A et al. (2025), EP Europace, 27(4)
BibTeX
@article{identifyingextr-2025/3,
title={Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques},
author={Sharp AJ, Pope MT, Briosa e Gala A, Varini R, Banerjee A et al.},
journal={EP Europace},
volume={27},
number={euaf048},
publisher={Oxford University Press},
year = "2025"
}
DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections
Wang Y, Banerjee A, Choudhury RP & Grau V (2025), 00, 337-346
BibTeX
@inproceedings{deepcadeeplearn-2025/3,
title={DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections},
author={Wang Y, Banerjee A, Choudhury RP & Grau V},
booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
pages={337-346},
year = "2025"
}
Diagnostic Performance of Single-Lead Electrocardiograms from the Apple Watch and CART Ring for Cardiac Arrhythmias
Briosa e Gala A, Sharp AJ, Schraam D, Pope MTB, Leo M et al. (2025), Heart Rhythm O2
BibTeX
@article{diagnosticperfo-2025/3,
title={Diagnostic Performance of Single-Lead Electrocardiograms from the Apple Watch and CART Ring for Cardiac Arrhythmias},
author={Briosa e Gala A, Sharp AJ, Schraam D, Pope MTB, Leo M et al.},
journal={Heart Rhythm O2},
publisher={Elsevier},
year = "2025"
}
New trends of adversarial machine learning for data fusion and intelligent system
Ding W, Zhang Z, Martínez L, Huang Y, Cao Z et al. (2025), Information Fusion, 114, 102683
BibTeX
@article{newtrendsofadve-2025/2,
title={New trends of adversarial machine learning for data fusion and intelligent system},
author={Ding W, Zhang Z, Martínez L, Huang Y, Cao Z et al.},
journal={Information Fusion},
volume={114},
pages={102683},
publisher={Elsevier},
year = "2025"
}
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information
He H, Banerjee A, Choudhury RP & Grau V (2025), Medical Image Analysis, 103496-103496
BibTeX
@article{deeplearningbas-2025/2,
title={Deep learning based coronary vessels segmentation in X-ray angiography using temporal information},
author={He H, Banerjee A, Choudhury RP & Grau V},
journal={Medical Image Analysis},
number={103496},
pages={103496-103496},
publisher={Elsevier BV},
year = "2025"
}
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 et al. (2025), Royal Society open science, 12(1), 241048
BibTeX
@article{multimodalinteg-2025/1,
title={Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.},
author={Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Betts TR et al.},
journal={Royal Society open science},
volume={12},
pages={241048},
publisher={The Royal Society},
year = "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 et al. (2025), Medical image analysis, 101, 103472
BibTeX
@article{personalizedtop-2025/1,
title={Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.},
author={Li L, Smith H, Lyu Y, Camps J, Qian S et al.},
journal={Medical image analysis},
volume={101},
number={103472},
pages={103472},
publisher={Elsevier},
year = "2025"
}
Editorial: Artificial intelligence applications for cancer diagnosis in radiology
Banerjee A, Shan H & Feng R (2025), Frontiers in Radiology, 5, 1493783
BibTeX
@article{editorialartifi-2025/1,
title={Editorial: Artificial intelligence applications for cancer diagnosis in radiology},
author={Banerjee A, Shan H & Feng R},
journal={Frontiers in Radiology},
volume={5},
pages={1493783},
publisher={Frontiers},
year = "2025"
}
Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation
Zhang W, Banerjee A & Ray S (2025), 15335, 42-54
BibTeX
@misc{selfsupervisedi-2025/,
title={Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation},
author={Zhang W, Banerjee A & Ray S},
year = "2025"
}
Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography
Atwany M, Lashgari M, Choudhury RP, Grau V & Banerjee A (2025), 15448, 1-11
BibTeX
@misc{singlesourcedom-2025/,
title={Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography},
author={Atwany M, Lashgari M, Choudhury RP, Grau V & Banerjee A},
year = "2025"
}
Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI
Thesing C, Bueno-Orovio A & Banerjee A (2025), 15448, 214-225
BibTeX
@misc{evaluatingconvo-2025/,
title={Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI},
author={Thesing C, Bueno-Orovio A & Banerjee A},
year = "2025"
}
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
Wang Y, Banerjee A & Grau V (2024), Bioengineering, 11(12), 1227-1227
BibTeX
@article{necadcoronaryar-2024/12,
title={NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation},
author={Wang Y, Banerjee A & Grau V},
journal={Bioengineering},
volume={11},
pages={1227-1227},
publisher={MDPI AG},
year = "2024"
}
Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures
Kart T, Alkhodari M, Lapidaire W, Banerjee A, Lewandowski AJ et al. (2024), 00, 1542-1547
BibTeX
@inproceedings{deeplearningbas-2024/12,
title={Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures},
author={Kart T, Alkhodari M, Lapidaire W, Banerjee A, Lewandowski AJ et al.},
booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
pages={1542-1547},
year = "2024"
}
Impact of adjacent thoracic structures in negative left atrial remodelling in atrial fibrillation
Sharp AJ, Pope MTB, Gala ABE, Varini R, Betts TR et al. (2024), European Heart Journal, 45(Supplement_1), ehae666.439
BibTeX
@article{impactofadjacen-2024/10,
title={Impact of adjacent thoracic structures in negative left atrial remodelling in atrial fibrillation},
author={Sharp AJ, Pope MTB, Gala ABE, Varini R, Betts TR et al.},
journal={European Heart Journal},
volume={45},
pages={ehae666.439},
publisher={Oxford University Press (OUP)},
year = "2024"
}
Comprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG
Schramm D, Varini R, Gala ABE, Banerjee A & Betts T (2024), European Heart Journal, 45(Supplement_1), ehae666.353
BibTeX
@article{comprehensiveca-2024/10,
title={Comprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG},
author={Schramm D, Varini R, Gala ABE, Banerjee A & Betts T},
journal={European Heart Journal},
volume={45},
pages={ehae666.353},
publisher={Oxford University Press (OUP)},
year = "2024"
}
“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study
Briosa e Gala A, Pope MTB, Leo M, Sharp AJ, Banerjee A et al. (2024), Journal of Arrhythmia
BibTeX
@article{realworldperfor-2024/9,
title={“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study},
author={Briosa e Gala A, Pope MTB, Leo M, Sharp AJ, Banerjee A et al.},
journal={Journal of Arrhythmia},
publisher={Wiley},
year = "2024"
}
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
Wang Y, Banerjee A & Grau V (2024)
BibTeX
@misc{necadcoronaryar-2024/9,
title={NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation},
author={Wang Y, Banerjee A & Grau V},
year = "2024"
}
Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation
van Zijl N, Banerjee A & Payne SJ (2024), IEEE Transactions on Biomedical Engineering, 72(2), 577-585
BibTeX
@article{modelingthemech-2024/9,
title={Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation},
author={van Zijl N, Banerjee A & Payne SJ},
journal={IEEE Transactions on Biomedical Engineering},
volume={72},
pages={577-585},
publisher={IEEE},
year = "2024"
}
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.
Beetz M, Banerjee A & Grau V (2024), IEEE journal of biomedical and health informatics, 28(8), 4810-4819
BibTeX
@article{modelingdcardia-2024/8,
title={Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.},
author={Beetz M, Banerjee A & Grau V},
journal={IEEE journal of biomedical and health informatics},
volume={28},
pages={4810-4819},
year = "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 et al. (2024), Pacing and Clinical Electrophysiology
BibTeX
@article{roleofimpedance-2024/8,
title={Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation},
author={Leo M, Banerjee A, Gala ABE, Pope M, Pedersen M et al.},
journal={Pacing and Clinical Electrophysiology},
publisher={Wiley},
year = "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 et al. (2024), Neural Computing and Applications, 1-22
BibTeX
@article{deepmultimetric-2024/8,
title={Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning},
author={Mamalakis M, Banerjee A, Ray S, Wilkie C, Clayton RH et al.},
journal={Neural Computing and Applications},
pages={1-22},
publisher={Springer Nature},
year = "2024"
}
Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
Lashgari M, Choudhury RP & Banerjee A (2024), Frontiers in Cardiovascular Medicine, 11
BibTeX
@article{patientspecific-2024/7,
title={Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories},
author={Lashgari M, Choudhury RP & Banerjee A},
journal={Frontiers in Cardiovascular Medicine},
volume={11},
number={1398290},
publisher={Frontiers Media},
year = "2024"
}
DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
Wang Y, Banerjee A, Choudhury RP & Grau V (2024)
BibTeX
@misc{deepcadeeplearn-2024/7,
title={DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from
Two 2D Non-simultaneous X-ray Angiography Projections},
author={Wang Y, Banerjee A, Choudhury RP & Grau V},
year = "2024"
}
Publications
Articles in peer-reviewed journals
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⋆ Alexander J. Sharp, Michael T.B. Pope, Andre Briosa e Gala, Richard Varini, Timothy R. Betts, & Abhirup Banerjee, “Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation”, Royal Society Open Science (Accepted), December 2024.
-
Natali van Zijl, Abhirup Banerjee, & Stephen John Payne, “Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation”, IEEE Transactions on Biomedical Engineering (Early Access), September 2024.
-
Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, & Vicente Grau, “Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction”, IEEE Transactions on Big Data (Accepted), June 2024.
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⋆ Weiping Ding, Zheng Zhang, Luis Mart ́ınez, Yu Huang, Zehong (Jimmy) Cao, Jun Liu, & Abhirup Banerjee, “New Trends of Adversarial Machine Learning for Data Fusion and Intelligent System”, Information Fusion, 114, pp. 102683, February 2025.
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⋆ Yiying Wang, Abhirup Banerjee, & Vicente Grau, “NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation”, Bioengineering, 11(12):1227, December 2024.
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Andre Briosa e Gala, Michael T.B. Pope, Milena Leo, Alexander J. Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S. Gardner, David Wilson, Mark M. Gallagher, Julian Ormerod, John Paisey, Nick Curzen, & Timothy R. Betts, ““Real-World” Performance of the Confirm RxTM SharpSense AF Detection Algorithm: UK Confirm Rx Study”, Journal of Arrhythmia, 40(5), pp. 1093– 1101, October 2024.
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Milena Leo, Abhirup Banerjee, Andre Briosa e Gala, Michael Pope, Michala Pedersen, Kim Rajappan, Matthew Ginks, Yaver Bashir, Ross J. Hunter, & Tim Betts, “Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation”, Pacing and Clinical Electrophysiology, 47(10), pp. 1404–1411, October 2024.
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⋆ Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, & Bart Vorselaars, “Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning”, Neural Computing and Applications, 36, pp. 18841–18862, October 2024.
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Yang Nan, Xiaodan Xing, ShiyiWang, Zeyu Tang, Federico N Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon LF Walsh, Guang Yang, “Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge”, Medical Image Analysis, 97, pp. 103253, October 2024.
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Mayooran Shanmuganathan, Chrysovalantou Nikolaidou, Matthew K Burrage, Alessandra Borlotti, Rafail Kotronias, Roberto Scarsini, Abhirup Banerjee, Dimitrios Terentes-Printzios, Alex Pitcher, Edit Gara, Jeremy P. Langrish, Andrew Lucking, Robin Choudhury, Giovanni Luigi De Maria, Adrian Banning, OXAMI Investigators, Stefan K Piechnik, Keith M Channon, & Vanessa M Ferreira,Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non–ST-Segment Elevation Myocardial Infarction, JACC: Cardiovascular Imaging, 17(9), pp. 1044–1058, September 2024.
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Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks”, IEEE Journal of Biomedical and Health Informatics, 28(8), pp. 4810–4819, August 2024.
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⋆ Alexander J. Sharp, Timothy R. Betts, & Abhirup Banerjee, “Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review”, Journal of Clinical Medicine, 13(15):4442, July 2024.
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⋆ Mojtaba Lashgari, Robin P. Choudhury, & Abhirup Banerjee, “Patient-Specific In Silico 3D Coronary Model in Cardiac Catheterisation Laboratories”, Frontiers in Cardiovascular Medicine, 11:1398290, July 2024.
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Lei Li, Julia Camps, Zhinuo (Jenny) Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodriguez, & Vicente Grau, “Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference”, IEEE Transactions on Medical Imaging, 43(7), pp. 2466-2478, July 2024.
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⋆ Abhirup Banerjee & Paul Leeson, “Scoring Systems Developed By Machine Learning: Intelligent But Simple To Use?”, European Heart Journal, 45(11), pp. 937–939, March 2024.
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Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, & Vicente Grau, “Multi- class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images”, Medical Image Analysis, 90, pp. 102975, December 2023.
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⋆ Abhirup Banerjee and Sujay Mukhoti, “Characterization of A Robust Probabilistic Framework for Brain Magnetic Resonance Image Data Distributions”, Stat, 12(1), e541, December 2023.
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Dayne A. Beccano-Kelly, Marta Cherubini, Yassine Mousba, Kaitlyn M.L. Cramb, Stefania Giussani, Maria Claudia Caiazza, Pavandeep Rai, Siv Vingill, Nora Bengoa-Vernigory, Bryan Ng, Gabriele Corda, Abhirup Banerjee, Jane Vowles, Sally Cowley, & Richard Wade-Martins, “Calcium Dysregulation Combined With Mitochondrial Failure and Electro- physiological Maturity Converge in Parkinson’s iPSC-Dopamine Neurons”, iScience, 26(7), pp. 107044, July 2023.
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Mayooran Shanmuganathan, Rafail A. Kotronias, Matthew K. Burrage, Yujun Ng, Abhirup Banerjee, Cheng Xie, Alison Fletcher, Peter Manley, Alessandra Borlotti, Maria Emfietzoglou, Alexander J. Mentzer, Federico Marin, Betty Raman, Oxford Acute Myocardial Infarction (OxAMI) investigators, Elizabeth M. Tunnicliffe, Stefan Neubauer, Stefan K. Piechnik, Keith M. Channon, and Vanessa M. Ferreira, “Acute Changes in Myocardial Tissue Charac- teristics During Hospitalization in Patients with COVID-19”, Frontiers in Cardiovascular Medicine, 10, pp. 1–8, February 2023.
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Naveed Akbar, Adam T. Braithwaite, Emma M. Corr, Graeme J. Koelwyn, Coen van Solingen, Cl ́ement Cochain, Antoine-Emmanuel Saliba, Alastair Corbin, Daniela Pezzolla, Malene Møller Jørgensen, Rikke Bæk, Laurienne Edgar, Carla De Villiers, Mala Gunadasa- Rohling, Abhirup Banerjee, Daan Paget, Charlotte Lee, Eleanor Hogg, Adam Costin, Raman Dhaliwal, Errin Johnson, Thomas Krausgruber, Joey Riepsaame, Genevieve E. Melling, Mayooran Shanmuganathan, Oxford Acute Myocardial Infarction Study (OxAMI), Christoph Bock, David R. F. Carter, Keith M. Channon, Paul R. Riley, Irina A. Udalova, Kathryn J. Moore, Daniel C. Anthony, & Robin P. Choudhury, “Rapid Neutrophil Mobilization by VCAM-1+ Endothelial Cell-Derived Extracellular Vesicles”, Cardiovascular Research, 119(1), pp. 236–251, January 2023.
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Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, S ̈oren J. Backhaus, Holger Thiele, Alfonso Bueno- Orovio, Pablo Lamata, Andreas Schuster, & Vicente Grau, “Interpretable Cardiac Anatomy Modeling Using Variational Mesh Autoencoders”, Frontiers in Cardiovascular Medicine, December 2022.
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Mayooran Shanmuganathan, Ambra Masi, Matthew K. Burrage, Rafail A. Kotronias, Alessandra Borlotti, Roberto Scarsini, Abhirup Banerjee, Dimitrios Terentes-Printzios, Qiang Zhang, Evan Hann, Elizabeth Tunnicliffe, Andrew Lucking, Jeremy Langrish, Rajesh Kharbanda, Giovanni Luigi De Maria, Adrian P. Banning, Robin P. Choudhury, Keith M. Channon, Stefan K. Piechnik, Vanessa M. Ferreira, on behalf of the OxAMI Study Investigators, “Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI”, JACC: Cardiovascular Imaging, 16(1), pp. 46–59, January 2023.
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S. Ray, A. Banerjee, A. Swift, J. W. Fanstone, M. Mamalakis, B. Vorselaars, C. Wilkie, J. Cole, L. S. Mackenzie, and S. Weeks, “A Robust COVID-19 Mortality Prediction Calculator Based on Lymphocyte Count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with Chest X-Rays”, Scientific Reports, 12, 18220, October 2022.
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A. N. Boss, A. Banerjee, M. Mamalakis, S. Ray, A. J. Swift, C. Wilkie, J. W. Fanstone, B. Vorselaars, J. Cole, S. Weeks, and L. S. Mackenzie, “Development of A Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers”, International Journal of Molecular Sciences, 23(13), 7260, June 2022.
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Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Multi-Domain Variational Autoencoders for Combined Modeling of MRI-Based Biventricular Anatomy and ECG-Based Cardiac Electrophysiology”, Frontiers in Physiology, 13, June 2022.
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⋆ Abhirup Banerjee, Juli`a Camps, Ernesto Zacur, Christopher M. Andrews, Yoram Rudy, Robin P. Choudhury, Blanca Rodriguez, & Vicente Grau, “A Completely Automated Pipeline for 3D Reconstruction of Human Heart from 2D Cine MR Slices”, Philosophical Transactions of the Royal Society A, 379(2212), pp. 1–21, Dec 2021.
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⋆ M. Mamalakis, A. J. Swift, B. Vorselaars, S. Ray, S. Weeks, W. Ding, R. H. Clayton, L. S. Mackenzie, and A. Banerjee, “DenResCov-19: A Deep Transfer Learning Network for Robust Automatic Classification of COVID-19, Pneumonia, and Tuberculosis from X- Rays”, Computerized Medical Imaging and Graphics, 94, pp. 102008, December 2021.
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Milena Leo, Giovanni Luigi De Maria, Andre Briosa e Gala, Michael Pope, Abhirup Banerjee, Andrew Kelion, Michala Pedersen, Kim Rajappan, Matthew Ginks, Yaver Bashir, Ross J. Hunter, & Tim Betts, “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”, The International Journal of Cardiovascular Imaging, 37, pp. 3525–3535, September 2021.
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⋆ A. Banerjee and P. Maji, “A Spatially Constrained Probabilistic Model for Robust Image Segmentation”, IEEE Transactions on Image Processing, 29(1), pp. 4898–4910, December 2020.
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⋆ A. Banerjee, S. Ray, B. Vorselaars, J. Kitson, M. Mamalakis, S. Weeks, M. R. Baker, and L. S. Mackenzie, “Use of Machine Learning and Artificial Intelligence to predict SARS-CoV- 2 infection from Full Blood Counts in a population”, International Immunopharmacology, 86, 106705, September 2020.
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⋆ Abhirup Banerjee, Francesca Galassi, Ernesto Zacur, Giovanni Luigi De Maria, Robin P. Choudhury, & Vicente Grau, “Point-Cloud Method for Automated 3D Coronary Tree Reconstruction from Multiple Non-Simultaneous Angiographic Projections”, IEEE Trans- actions on Medical Imaging, 39(4), pp. 1278–1290, April 2020.
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⋆ A. Banerjee and P. Maji, “Segmentation of Bias Field Induced Brain MR Images Using Rough Sets and Stomped-t Distribution”, Information Sciences, 504, pp. 520–545, December 2019.
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⋆ A. Banerjee and P. Maji, “Spatially Constrained Student’s t-Distribution Based Mixture Model for Robust Image Segmentation”, Journal of Mathematical Imaging and Vision, 60(3), pp. 355–381, March 2018.
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⋆ A. Banerjee and P. Maji, “Stomped-t: A Novel Probability Distribution for Rough- Probabilistic Clustering”, Information Sciences, 421, pp. 104–125, December 2017.
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⋆ A. Banerjee and P. Maji, “Rough-Probabilistic Clustering and Hidden Markov Random Field Model for Segmentation of HEp-2 Cell and Brain MR Images”, Applied Soft Computing, 46, pp. 558–576, September 2016.
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⋆ A. Banerjee and P. Maji, “Rough Sets and Stomped Normal Distribution for Simultane- ous Segmentation and Bias Field Correction in Brain MR Images”, IEEE Transactions on Image Processing, 24(12), pp. 5764–5776, December 2015.
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⋆ A. Banerjee and P. Maji, “Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index”, IEEE Transactions on Medical Imaging, 32(11), pp. 2144–2155, November 2013.