1. ⋆ 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.
   

2. 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.

3. 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. 
   

4. ⋆ 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. 

5. ⋆ 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.

6. 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. 

7. 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.

8. ⋆ 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.

9. 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.

10. 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.

11. 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. 

12. ⋆ 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. 

13. ⋆ 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. 

14. 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. 

15. ⋆ 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. 

16. 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.

17. ⋆ Abhirup Banerjee and Sujay Mukhoti, “Characterization of A Robust Probabilistic Framework for Brain Magnetic Resonance Image Data Distributions”, Stat, 12(1), e541, December 2023.  

18. 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. 

19. 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.

20. 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. 

21. 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. 

22. 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.  

23. 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. 

24. 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. 

25. 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. 

26. ⋆ 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.

27. ⋆ 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.

28. 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.

29. ⋆ 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. 

30. ⋆ 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.

31. ⋆ 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. 

32. ⋆ 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. 

33. ⋆ 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. 

34. ⋆ A. Banerjee and P. Maji, “Stomped-t: A Novel Probability Distribution for Rough- Probabilistic Clustering”, Information Sciences, 421, pp. 104–125, December 2017.

35. ⋆ 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. 

36. ⋆ 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. 

37. ⋆ 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.

Articles in peer-reviewed conference proceedings

1. ⋆ Claas Thesing, Alfonso Bueno-Orovio, & Abhirup Banerjee, “Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-Class Bi-Atrial Segmentation from LGE-MRI”, Proc. 15 th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) – Multi-class Bi-Atrial Segmentation (MBAS) challenge (Accepted), November 2024.
   
   
2. Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, & Paul Leeson, “Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures”, Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (Accepted), October 2024. (National Science Foundation Travel Award; Acceptance rate: 21%)
   
   
3. Wenhui Zhang, Abhirup Banerjee, & Surajit Ray, “Self-Supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation”, Proc. MICCAI Diabetic Foot Ulcer Challenge (DFUC) 2024 (Accepted), September 2024. (Third Place in the DFUC 2024)
   
   
4. Yiying Wang, Abhirup Banerjee, Robin Choudhury, & Vicente Grau, “DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections”, Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Accepted), Tucson, Arizona, USA, August 2024. (Oral; WACV Broadening Participation Scholarship; Early Acceptance: Top 12%) Code
   
   
5. ⋆ Mohammad Atwany, Mojtaba Lashgari, Robin Choudhury, Vicente Grau, & Abhirup Banerjee, “Single-source Domain Generalization for Coronary Vessels Segmentation in X-ray Angiography”, Proc. 15 th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) (In Press), August 2024.
   
   
6. ⋆ Thalia E. Seale, Blanca Rodriguez, Vicente Grau, & Abhirup Banerjee, “Modelling Multi-phase Cardiac Anatomy with Generative Deep Learning”, Proc. 51 st International Computing in Cardiology (CinC) Conference (In Press), Karlsruhe, Germany, September 2024. (Winner of the Bill and Gary Sanders Poster Award)
   
   
7. Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David Menon, Virginia Newcombe, Natalie Voets, Abhirup Banerjee, & Konstantinos Kamnitsas, “Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation”, Proc. Medical Imaging with Deep Learning (MIDL) (In Press), Paris, July 2024. (Oral)
   
   
8. ⋆ Thalia Seale, Marcel Beetz, Blanca Rodriguez, Vicente Grau, & Abhirup Banerjee, “Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders”, Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pp. 1–5, August 2024.
   
   
9. Shraddha Agarwal, Vinod Kumar Kurmi, Abhirup Banerjee, & Tanmay Basu, “TCPNet: A Novel Tumor Contour Prediction Network Using MRIs”, Proc. IEEE 12 th International Conference on Healthcare Informatics (ICHI), Orlando, Florida, USA, pp. 183–188, August 2024.
   
   
10. Anuradha Mahato, Prateek Sarangi, Vinod Kumar Kurmi, Abhirup Banerjee, Abhishek Goyal, & Tanmay Basu, “Uncertainty Quantification in Deep Learning Framework for Mallampati Classification”, Proc. IEEE 12 th International Conference on Healthcare Informatics (ICHI), Orlando, Florida, USA, pp. 626–631, August 2024.
    
    
11. Haorui He, Abhirup Banerjee, Robin P. Choudhury, & Vicente Grau,“Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network”, Proc. Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers (STACOM), Vancouver, BC, Canada, vol. 14507, pp. 209–219, October 2023. (Oral)
    
    
12. Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, & Vicente Grau, “Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net”, Proc. Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers (STACOM), Vancouver, BC, Canada, vol. 14507, pp. 163–173, October 2023. (Best poster Award)
    
    
13. 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. 17 th IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, pp. 1886–1889, December 2023. (Oral; Selected for IEEE BIBM 2023 Student travel Award; Acceptance Rate: 19.5%)
    
    
14. 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), Vancouver, BC, Canada, vol. 14221, pp. 532–542, October 2023. (Early Accept; Top 13.6% out of 2253 papers)
    
    
15. Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, & Vicente Grau, “3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks”, Proc. 45 th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, pp. 1–4, July 2023. (Oral)
    
    
16. Lei Li, Julia Camps, Zhinuo Wang, Abhirup Banerjee, Blanca Rodriguez, & Vicente Grau, “Influence of Myocardial Infarction on QRS Properties: A Simulation Study”, Proc. 12 th International Conference on Functional Imaging and Modeling of the Heart (FIMH), Lyon, France, vol. 13958, pp. 223–232, June 2023.
    
    
17. Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, & Vicente Grau, “Mesh U-Nets for 3D Cardiac Deformation Modeling”, Proc. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (STACOM), Singapore, vol. 13593, pp. 245–257, January 2023.
    
    
18. Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction”, Proc. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (STACOM), Singapore, vol. 13593, pp. 280–290, January 2023.
    
    
19. Marcel Beetz, Jorge Corral Acero, Abhirup Banerjee, Ingo Eitel, Ernesto Zacur, Torben Lange, Thomas Stiermaier, Ruben Evertz, Sören J. Backhaus, Holger Thiele, Alfonso Bueno-Orovio, Pablo Lamata, Andreas Schuster, & Vicente Grau, “Post-Infarction Risk Prediction
    with Mesh Classification Networks”, Proc. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (STACOM), Singapore, vol. 13593, pp. 291–301, January 2023.

20. Lei Li, Julia Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodriguez, & Vicente Grau, “Deep Computational Model for the Inference of Ventricular Activation Properties”, Proc. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (STACOM), Singapore, vol. 13593, pp. 369–380, January 2023.

21. Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets”, Proc. International Workshop on Geometric Deep Learning in Medical Image Analysis (GeoMedIA), Amsterdam, The Netherlands, 194, pp. 3–14, November 2022.

22. ⋆ Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, & Vicente Grau, “Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model”, Proc. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, UK, pp. 1702–1706, July 2022.

23. H. J. Smith, A. Banerjee, R. P. Choudhury, and V. Grau, “Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction”, Proc. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, UK, pp. 3809–3813, July 2022.

24. Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, and Vicente Grau, “Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function”, Proc. IEEE 19th International Symposium on Biomedical Imaging (ISBI), Kolkata, India, pp. 1–5, March 2022.

25. Marcel Beetz, Abhirup Banerjee, Yuling Sang, & Vicente Grau, “Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders”, Proc. IEEE 19th International Symposium on Biomedical Imaging (ISBI), Kolkata, India,
    pp. 1–4, March 2022.

26. Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders”, Proc. Statistical Atlases and Computational Models of the Heart (STACOM), Strasbourg, France, pp. 75–83, January 2022.

27. Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, & Vicente Grau, “Predicting 3D Cardiac Deform- ations With Point Cloud Autoencoders”, Proc. Statistical Atlases and Computational Models of the Heart (STACOM), Strasbourg, France, pp. 219–228, January 2022.

28. ⋆ Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, & Vicente Grau, “Optimised Misalignment Correction from Cine MR Slices using Statistical Shape Model”, Proc. Annual Conference on Medical Image Understanding and Analysis (MIUA), Oxford, UK, pp. 201– 209, July 2021.

29. Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Biventricular Surface Reconstruction From Cine MRI Contours Using Point Completion Networks”, Proc. IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, pp. 105–109, April 2021.

30. ⋆ A. Banerjee, R. P. Choudhury, and V. Grau, “Optimized Rigid Motion Correction from Multiple Non-Simultaneous X-Ray Angiographic Projections”, Proc. International Conference on Pattern Recognition and Machine Intelligence (PReMI), Tezpur, India, pp. 61–69, November 2019.

31. ⋆ A. Banerjee, R. K. Kharbanda, R. P. Choudhury, and V. Grau, “Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections”, Proc. Statistical Atlases and Computational Models of the Heart (STACOM), Granada, Spain, pp. 12–20, February 2019.

32. ⋆ A. Banerjee and P. Maji, “Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation”, Proc. International Conference on Rough Sets and Knowledge Technology (RSKT), Tianjin, China, pp. 459–469, November 2015.

33. ⋆ A. Banerjee and P. Maji, “Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI”, Proc. International Conference on Image Analysis and Processing (ICIAP), Naples, Italy, pp. 542–551, September 2013.

34. ⋆ A. Banerjee and P. Maji, “Contraharmonic Mean Based Bias Field Correction in MR Images”, Proc. International Conference on Computer Analysis of Images and Patterns (CAIP), York, UK, pp. 523–530, August 2013.

Preprint:

1. ⋆ Hannah J. Smith, Blanca Rodriguez, Yuling Sang, Marcel Beetz, Robin P. Choudhury, Vicente Grau, & Abhirup Banerjee, “Anatomical basis of human sex differences in ECG identified by automated torso-cardiac three-dimensional reconstruction”, European Heart Journal – Digital Health (Under Revision), Preprint arXiv:2312.13976 [physics.med-ph], November 2024.

Abstracts in peer-reviewed journals

1. ⋆ Alexander J. Sharp, Michael T. B. Pope, Andre Briosa e Gala, Richard Varini, Timothy R. Betts, & Abhirup Banerjee, “Impact of adjacent thoracic structures in negative left atrial remodelling in atrial fibrillation”, European Heart Journal, 45(Supplement 1), pp. ehae666.439, October 2024.

2. David Schramm, Richard Varini, Andre Briosa e Gala, Abhirup Banerjee, & Timothy Betts, “Comprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG”, European Heart Journal, 45(Supplement 1), pp. ehae666.353, October 2024.

3. Alexander J. Sharp, Mike T. B. Pope, Andre Briosa e Gala, Richard Vanini, Abhirup Banerjee, & Timothy R. Betts, “Conduction velocity-based functional substrate mapping during atrial fibrillation (AF) enhances identification of AF drivers compared to mapping during sinus rhythm”, EP Europace, 26(Supplement 1), pp. i612, May 2024.

4. A. Briosa e Gala, M. T. B. Pope, M. Leo, A. J. Sharp, R. Varini, J. R. Paisey, N. Curzen, A. Banerjee, & T. R. Betts, “Automated continuous rhythm monitoring with implantable cardiac monitor and real-time smartphone alerts during af episodes: SMART- ALERT study”, EP Europace, 26(Supplement 1), pp. i493, May 2024.

5. Alexander J. Sharp, Michael T. Pope, Andre Briosa e Gala, Richard Varini, Abhirup Banerjee, & Timothy R. Betts, “Superiority of Functional vs Structural Atrial Substrate Mapping for Identification of Non-Pulmonary Vein Drivers in Atrial Fibrillation”, Heart Rhythm, 21(5)Supplement, pp. S343–S344, May 2024.

6. Mayooran Shanmuganathan, Chrysovalantou Nikolaidou, Matthew Burrage, Alessandra Borlotti, Rafail Kotronias, Jeremy Langrish, Andrew Lucking, Alex Pitcher, Edit Gara, Abhirup Banerjee, Rajesh Kharbanda, Robin Choudhury, Adrian Banning, Giovanni Luigi De Maria, Stefan Piechnik, Keith Channon, & Vanessa Ferreira, “Cardiovascular Magnetic Resonance Imaging Before Invasive Coronary Angiography in Suspected Non-st- segment Elevation Myocardial Infarction Can Change Management in over One-third of the Patients”, Journal of Cardiovascular Magnetic Resonance, 26(Supplement 1), 100129, March 2024.

7. Mayooran Shanmuganathan, Ricardo Gonzales, Matthew Burrage, Per Arvidsson, Abhirup Banerjee, Irem Cakir, Felicia Seemann, Einar Heiberg, Dana Peters, Qiang Zhang, Keith Channon, Stefan Piechnik, & Vanessa Ferreira, “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”, Journal of Cardio- vascular Magnetic Resonance, 26(Supplement 1), 100268, March 2024.

8. ⋆ Alexander J. Sharp, Wilson Good, Lea Melki, Mike T. Pope, Rohan Wijesurendra, Andre Briosa e Gala, Timothy R. Betts, & Abhirup Banerjee, “MRI versus Ultrasound: Exploring the Influence of Imaging Modality on the Fidelity of Non-Contact Charge Density Mapping”, Heart Rhythm, 20(5)Supplement, pp. S466–S467, May 2023.

9. ⋆ Alexander J. Sharp, Mike T.B. Pope, Rohan Wijesurendra, Andre Briosa e Gala, Timothy R. Betts, & Abhirup Banerjee, “Left Atrium Surface Mesh Reconstruction from Cardiac MRI”, EP Europace, 25(Supplement 1), pp. i1022, June 2023.

10. M. Shanmuganathan, A. Masi, M. K. Burrage, R. A. Kotronias, A. Borlotti, R. Scarsini, A. Banerjee, D. Terentes-Printzios, Q. Zhang, E. Hann, E. Tunnicliffe, A. Lucking, J. Langrish, R. Kharbanda, G. L. De Maria, A. P. Banning, R. P. Choudhury, K. M. Channon, S. K. Piechnik, and V. M. Ferreira, “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”, Heart, 107(Suppl 3), A1, November 2021.

11. M. Pope, P. Kuklik, A. Banerjee, A. B. e Gala, M. Leo, M. Mahmoudi, J. Paisey, and T. R. Betts, “Insights into Electrophysiological Mechanisms of Atrial Fibrillation Propagation using Simultaneous Bi-Atrial Mapping”, EP Europace, 23(Suppl 3), pp. iii147, May 2021.

12. M. Wamil, A. Borlotti, A. Banerjee, L. Gaughran, G. L. De Maria, A. P. Banning, R. Kharbanda, R. P. Choudhury, and K. M.Channon, “Impaired Myocardial Healing in Patients with Diabetes After ST-Elevation Myocardial Infarction”, European Heart Journal, 40(Suppl 1), pp. 2666, October 2019.

13. N. Akbar, A. Corbin, E. Hogg, A. Banerjee, C. Lee, G. Melling, L. Edgar, R. Dragovic, D. Carter, P. Riley, I. Udalova, D. Anthony, and R. Choudhury, “Endothelial Cell Derived Extracellular Vesicles Mediate Immune Cell Deployment from the Spleen and Transcriptional Programming Following Acute Myocardial Infarction”, European Heart Journal, 40(Suppl 1), pp. 1361, October 2019.

14. N. Akbar, A. Corbin, S. Dawkins, C. Lee, E. Hogg, L. Edgar, M. Gunadasa-Rohling, A. Banerjee, G. Melling, R. Dragovic, D. Carter, P. Riley, I. Udalova, K. M. Channon, D. Anthony, and R. P. Choudhury, “Endothelial Cell Derived Extracellular Vesicles Mediate Neutrophil Deployment from the Spleen Following Acute Myocardial Infarction”, Heart, 105(Suppl 6), pp. A181, May 2019.