Abhirup Banerjee

According to our database, Abhirup Banerjee authored at least 64 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction.

Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau

IEEE Trans. Big Data, June, 2025

An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials.

Rubén Doste, Julià Camps, Zhinuo Jenny Wang, Lucas Arantes Berg, Maxx Holmes, Hannah J. Smith, Marcel Beetz, Lei Li, Abhirup Banerjee, Vicente Grau, Blanca Rodríguez

CoRR, March, 2025

Modeling the Mechanisms of Non-Neurogenic Dynamic Cerebral Autoregulation.

Natali van Zijl, Abhirup Banerjee, Stephen J. Payne

IEEE Trans. Biomed. Eng., February, 2025

beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation.

Soham Ghosh, Sujay Mukhoti, Abhirup Banerjee

SoftwareX, 2025

Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.

Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Shuang Qian, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau

Medical Image Anal., 2025

Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau

Medical Image Anal., 2025

New trends of adversarial machine learning for data fusion and intelligent system.

Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong Cao, Jun Liu, Abhirup Banerjee

Inf. Fusion, 2025

Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction.

Yuling Sang, Abhirup Banerjee, Marcel Beetz, Vicente Grau

Frontiers Digit. Health, 2025

3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis.

Marcel Beetz, Abhirup Banerjee, Lei Li, Julià Camps, Blanca Rodríguez, Vicente Grau

Comput. Medical Imaging Graph., 2025

DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections.

Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning.

Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars

Neural Comput. Appl., October, 2024

Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.

Marcel Beetz, Abhirup Banerjee, Vicente Grau

IEEE J. Biomed. Health Informatics, August, 2024

Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.

Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau

IEEE Trans. Medical Imaging, July, 2024

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Yang Nan, Xiaodan Xing, Shiyi Wang, 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 L. F. Walsh, Guang Yang

Medical Image Anal., 2024

NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections by Neural Implicit Representation.

Yiying Wang, Abhirup Banerjee, Vicente Grau

CoRR, 2024

Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins.

Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau

CoRR, 2024

Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections.

Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau

CoRR, 2024

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation.

Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation.

Wenhui Zhang, Abhirup Banerjee, Surajit Ray

Proceedings of the Diabetic Foot Ulcers Grand Challenge - 4th Challenge, 2024

Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI.

Claas Thesing, Alfonso Bueno-Orovio, Abhirup Banerjee

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography.

Mohammad Z. Atwany, Mojtaba Lashgari, Robin P. Choudhury, Vicente Grau, Abhirup Banerjee

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders.

Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Uncertainty Quantification in Deep Learning Framework for Mallampati Classification.

Anuradha Mahato, Prateek Sarangi, Vinod Kumar Kurmi, Abhirup Banerjee, Abhishek Goyal, Tanmay Basu

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

TCPNet: A Novel Tumor Contour Prediction Network Using MRIs.

Shraddha Agarwal, Vinod K. Kurmi, Abhirup Banerjee, Tanmay Basu

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures.

Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, Paul Leeson

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

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

Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau

Medical Image Anal., December, 2023

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

Hannah J. Smith, Blanca Rodríguez, Yuling Sang, Marcel Beetz, Robin Choudhury, Vicente Grau, Abhirup Banerjee

CoRR, 2023

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Yang Nan, Xiaodan Xing, Shiyi Wang, 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, 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, Athol Wells, Simon Walsh, Guang Yang

CoRR, 2023

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.

Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau

CoRR, 2023

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

Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

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

Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction.

Marcel Beetz, Abhirup Banerjee, Vicente Grau

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Influence of Myocardial Infarction on QRS Properties: A Simulation Study.

Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks.

Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning.

Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios J. Hadjileontiadis, Ahsan Khandoker, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Characterizing the spatio-temporal patterns of extreme events

Abhirup Banerjee

PhD thesis, 2022

Predicting the data structure prior to extreme events from passive observables using echo state network.

Abhirup Banerjee, Arindam Mishra, Syamal K. Dana, Chittaranjan Hens, Tomasz Kapitaniak, Jürgen Kurths, Norbert Marwan

Frontiers Appl. Math. Stat., 2022

Deep Computational Model for the Inference of Ventricular Activation Properties.

Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction.

Marcel Beetz, Abhirup Banerjee, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Post-Infarction Risk Prediction with Mesh Classification Networks.

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Mesh U-Nets for 3D Cardiac Deformation Modeling.

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

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function.

Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders.

Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets.

Marcel Beetz, Abhirup Banerjee, Vicente Grau

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction.

Hannah J. Smith, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model.

Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.

Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee

Comput. Medical Imaging Graph., 2021

Predicting 3D Cardiac Deformations with Point Cloud Autoencoders.

Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders.

Marcel Beetz, Abhirup Banerjee, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model.

Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks.

Marcel Beetz, Abhirup Banerjee, Vicente Grau

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections.

Abhirup Banerjee, Francesca Galassi, Ernesto Zacur, Giovanni Luigi De Maria, Robin Choudhury, Vicente Grau

IEEE Trans. Medical Imaging, 2020

A Spatially Constrained Probabilistic Model for Robust Image Segmentation.

Abhirup Banerjee, Pradipta Maji

IEEE Trans. Image Process., 2020

2019

Segmentation of bias field induced brain MR images using rough sets and stomped-<i>t</i> distribution.

Abhirup Banerjee, Pradipta Maji

Inf. Sci., 2019

Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections.

Abhirup Banerjee, Robin Choudhury, Vicente Grau

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018

Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation.

Abhirup Banerjee, Pradipta Maji

J. Math. Imaging Vis., 2018

Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections.

Abhirup Banerjee, Rajesh K. Kharbanda, Robin Choudhury, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017

Stomped-t: A novel probability distribution for rough-probabilistic clustering.

Abhirup Banerjee, Pradipta Maji

Inf. Sci., 2017

2016

Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images.

Abhirup Banerjee, Pradipta Maji

Appl. Soft Comput., 2016

2015

Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images.

Abhirup Banerjee, Pradipta Maji

IEEE Trans. Image Process., 2015

Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation.

Abhirup Banerjee, Pradipta Maji

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

2013

Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index.

Abhirup Banerjee, Pradipta Maji

IEEE Trans. Medical Imaging, 2013

Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI.

Abhirup Banerjee, Pradipta Maji

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Contraharmonic Mean Based Bias Field Correction in MR Images.

Abhirup Banerjee, Pradipta Maji

Proceedings of the Computer Analysis of Images and Patterns, 2013