Abhirup Banerjee

82 papers A 1Journal 47Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction. Medical Image Anal. Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
2026	J	`jnl`	An automated computational pipeline for generating large-scale cohorts of patient-specific ventricular models in electromechanical in silico trials. Comput. Methods Programs Biomed. 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
2026	J	`jnl`	Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation. CoRR Shramana Dey, Varun Ajith, Abhirup Banerjee, Sushmita Mitra
2026	J	`jnl`	Weakly Supervised Patch Annotation for Improved Screening of Diabetic Retinopathy. CoRR Shramana Dey, Abhirup Banerjee, B. Uma Shankar, Ramachandran Rajalakshmi, Sushmita Mitra
2025	J	`jnl`	3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models. CoRR Jolanta Mozyrska, Marcel Beetz, Luke Melas-Kyriazi, Vicente Grau, Abhirup Banerjee, Alfonso Bueno-Orovio
2025	J	`jnl`	3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis. Comput. Medical Imaging Graph. Marcel Beetz, Abhirup Banerjee, Lei Li, Julià Camps, Blanca Rodríguez, Vicente Grau
2025	—	`conf`	An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning. MICCAI (14) Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
2025	J	`jnl`	An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials. CoRR 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
2025	J	`jnl`	AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography. CoRR Mohammad Z. Atwany, Mojtaba Lashgari, Robin P. Choudhury, Vicente Grau, Abhirup Banerjee
2025	J	`jnl`	Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction. Frontiers Digit. Health Yuling Sang, Abhirup Banerjee, Marcel Beetz, Vicente Grau
2025	J	`jnl`	Deep learning based coronary vessels segmentation in X-ray angiography using temporal information. Medical Image Anal. Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau
2025	A	`conf`	DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections. WACV Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau
2025	J	`jnl`	From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review. CoRR Emma McMillian, Abhirup Banerjee, Alfonso Bueno-Orovio
2025	J	`jnl`	HeartFormer: Semantic-Aware Dual-Structure Transformers for 3D Four-Chamber Cardiac Point Cloud Reconstruction. CoRR Zhengda Ma, Abhirup Banerjee
2025	J	`jnl`	Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction. IEEE Trans. Big Data Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau
2025	J	`jnl`	Modeling the Mechanisms of Non-Neurogenic Dynamic Cerebral Autoregulation. IEEE Trans. Biomed. Eng. Natali van Zijl, Abhirup Banerjee, Stephen J. Payne
2025	J	`jnl`	New trends of adversarial machine learning for data fusion and intelligent system. Inf. Fusion Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong Cao, Jun Liu, Abhirup Banerjee
2025	J	`jnl`	Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins. Medical Image Anal. Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Shuang Qian, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau
2025	J	`jnl`	beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation. SoftwareX Soham Ghosh, Sujay Mukhoti, Abhirup Banerjee
2024	J	`jnl`	Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections. CoRR Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau
2024	—	`conf`	Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures. BIBM Turkay Kart, Mohanad Alkhodari, Winok Lapidaire, Abhirup Banerjee, Adam J. Lewandowski, Paul Leeson
2024	J	`jnl`	Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars
2024	—	`conf`	Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI. CMRxRecon/MBAS/STACOM@MICCAI Claas Thesing, Alfonso Bueno-Orovio, Abhirup Banerjee
2024	—	`conf`	Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. MIDL 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
2024	J	`jnl`	Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR 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
2024	J	`jnl`	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 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
2024	J	`jnl`	Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction. CoRR Chen Chen, Lei Li, Marcel Beetz, Abhirup Banerjee, Ramneek Gupta, Vicente Grau
2024	J	`jnl`	Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. IEEE J. Biomed. Health Informatics Marcel Beetz, Abhirup Banerjee, Vicente Grau
2024	—	`conf`	Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. ISBI Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee
2024	J	`jnl`	NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections by Neural Implicit Representation. CoRR Yiying Wang, Abhirup Banerjee, Vicente Grau
2024	J	`jnl`	Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins. CoRR Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau
2024	—	`conf`	Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation. DFUC@MICCAI Wenhui Zhang, Abhirup Banerjee, Surajit Ray
2024	—	`conf`	Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography. CMRxRecon/MBAS/STACOM@MICCAI Mohammad Z. Atwany, Mojtaba Lashgari, Robin P. Choudhury, Vicente Grau, Abhirup Banerjee
2024	—	`conf`	TCPNet: A Novel Tumor Contour Prediction Network Using MRIs. ICHI Shraddha Agarwal, Vinod K. Kurmi, Abhirup Banerjee, Tanmay Basu
2024	J	`jnl`	Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Trans. Medical Imaging Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau
2024	—	`conf`	Uncertainty Quantification in Deep Learning Framework for Mallampati Classification. ICHI Anuradha Mahato, Prateek Sarangi, Vinod Kumar Kurmi, Abhirup Banerjee, Abhishek Goyal, Tanmay Basu
2023	—	`conf`	3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau
2023	J	`jnl`	3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau
2023	J	`jnl`	Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction. CoRR Hannah J. Smith, Blanca Rodríguez, Yuling Sang, Marcel Beetz, Robin Choudhury, Vicente Grau, Abhirup Banerjee
2023	—	`conf`	Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network. STACOM@MICCAI Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau
2023	—	`conf`	Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. STACOM@MICCAI Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau
2023	J	`jnl`	Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR 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
2023	—	`conf`	HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning. BIBM Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios J. Hadjileontiadis, Ahsan Khandoker, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson
2023	—	`conf`	Influence of Myocardial Infarction on QRS Properties: A Simulation Study. FIMH Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau
2023	J	`jnl`	Influence of Myocardial Infarction on QRS Properties: A Simulation Study. CoRR Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau
2023	J	`jnl`	Modeling 3D cardiac contraction and relaxation with point cloud deformation networks. CoRR Marcel Beetz, Abhirup Banerjee, Vicente Grau
2023	J	`jnl`	Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. CoRR Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau
2023	J	`jnl`	Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images. Medical Image Anal. Marcel Beetz, Abhirup Banerjee, Julius Ossenberg-Engels, Vicente Grau
2023	—	`conf`	Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) Marcel Beetz, Abhirup Banerjee, Vicente Grau
2023	J	`jnl`	Multi-objective point cloud autoencoders for explainable myocardial infarction prediction. CoRR Marcel Beetz, Abhirup Banerjee, Vicente Grau
2023	J	`jnl`	Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. CoRR Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
2022	—	`conf`	Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model. EMBC Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau
2022	—	`conf`	Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction. EMBC Hannah J. Smith, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau
2022	—	`—`	Characterizing the spatio-temporal patterns of extreme events Abhirup Banerjee
2022	—	`conf`	Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. ISBI Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau
2022	—	`conf`	Deep Computational Model for the Inference of Ventricular Activation Properties. STACOM@MICCAI Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
2022	J	`jnl`	Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau
2022	—	`conf`	Mesh U-Nets for 3D Cardiac Deformation Modeling. STACOM@MICCAI 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
2022	—	`conf`	Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. STACOM@MICCAI Marcel Beetz, Abhirup Banerjee, Vicente Grau
2022	—	`conf`	Post-Infarction Risk Prediction with Mesh Classification Networks. STACOM@MICCAI 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
2022	J	`jnl`	Predicting the data structure prior to extreme events from passive observables using echo state network. Frontiers Appl. Math. Stat. Abhirup Banerjee, Arindam Mishra, Syamal K. Dana, Chittaranjan Hens, Tomasz Kapitaniak, Jürgen Kurths, Norbert Marwan
2022	—	`conf`	Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. GeoMedIA Marcel Beetz, Abhirup Banerjee, Vicente Grau
2022	—	`conf`	Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. ISBI Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau
2021	—	`conf`	Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. ISBI Marcel Beetz, Abhirup Banerjee, Vicente Grau
2021	J	`jnl`	DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
2021	J	`jnl`	DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
2021	—	`conf`	Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. STACOM@MICCAI Marcel Beetz, Abhirup Banerjee, Vicente Grau
2021	—	`conf`	Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model. MIUA Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau
2021	—	`conf`	Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. STACOM@MICCAI Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau
2020	J	`jnl`	A Spatially Constrained Probabilistic Model for Robust Image Segmentation. IEEE Trans. Image Process. Abhirup Banerjee, Pradipta Maji
2020	J	`jnl`	Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections. IEEE Trans. Medical Imaging Abhirup Banerjee, Francesca Galassi, Ernesto Zacur, Giovanni Luigi De Maria, Robin Choudhury, Vicente Grau
2019	—	`conf`	Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections. PReMI (2) Abhirup Banerjee, Robin Choudhury, Vicente Grau
2019	J	`jnl`	Segmentation of bias field induced brain MR images using rough sets and stomped- Inf. Sci. Abhirup Banerjee, Pradipta Maji
2018	—	`conf`	Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections. STACOM@MICCAI Abhirup Banerjee, Rajesh K. Kharbanda, Robin Choudhury, Vicente Grau
2018	J	`jnl`	Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation. J. Math. Imaging Vis. Abhirup Banerjee, Pradipta Maji
2017	J	`jnl`	Stomped-t: A novel probability distribution for rough-probabilistic clustering. Inf. Sci. Abhirup Banerjee, Pradipta Maji
2016	J	`jnl`	Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images. Appl. Soft Comput. Abhirup Banerjee, Pradipta Maji
2015	J	`jnl`	Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images. IEEE Trans. Image Process. Abhirup Banerjee, Pradipta Maji
2015	—	`conf`	Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation. RSKT Abhirup Banerjee, Pradipta Maji
2013	—	`conf`	Contraharmonic Mean Based Bias Field Correction in MR Images. CAIP (1) Abhirup Banerjee, Pradipta Maji
2013	—	`conf`	Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI. ICIAP (2) Abhirup Banerjee, Pradipta Maji
2013	J	`jnl`	Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index. IEEE Trans. Medical Imaging Abhirup Banerjee, Pradipta Maji