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ORCIDAbhirup Banerjee
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2020 – today
- 2025
[j19]Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong Cao
, Jun Liu, Abhirup Banerjee:
New trends of adversarial machine learning for data fusion and intelligent system. Inf. Fusion 114: 102683 (2025)- [j18]Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Shuang Qian, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau:
Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins. Medical Image Anal. 101: 103472 (2025) - [j17]Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information. Medical Image Anal. 102: 103496 (2025) - [j16]Natali van Zijl, Abhirup Banerjee, Stephen J. Payne:
Modeling the Mechanisms of Non-Neurogenic Dynamic Cerebral Autoregulation. IEEE Trans. Biomed. Eng. 72(2): 577-585 (2025) - 2024
- [j15]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:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024) - [j14]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 Comput. Appl. 36(30): 18841-18862 (2024) - [j13]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. IEEE J. Biomed. Health Informatics 28(8): 4810-4819 (2024) - [j12]Lei Li, Julià Camps, Zhinuo Jenny Wang, Marcel Beetz, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. IEEE Trans. Medical Imaging 43(7): 2466-2478 (2024) - [c30]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. BIBM 2024: 1542-1547 - [c29]Shraddha Agarwal, Vinod K. Kurmi, Abhirup Banerjee, Tanmay Basu:
TCPNet: A Novel Tumor Contour Prediction Network Using MRIs. ICHI 2024: 183-188 - [c28]Anuradha Mahato, Prateek Sarangi, Vinod Kumar Kurmi, Abhirup Banerjee, Abhishek Goyal, Tanmay Basu:
Uncertainty Quantification in Deep Learning Framework for Mallampati Classification. ICHI 2024: 626-631 - [c27]Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee:
Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. ISBI 2024: 1-5 - [c26]Wenhui Zhang, Abhirup Banerjee, Surajit Ray:
Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation. DFUC@MICCAI 2024: 42-54 - [c25]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:
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. MIDL 2024: 1771-1784 - [i15]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. CoRR abs/2403.10581 (2024) - [i14]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:
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR abs/2405.18511 (2024) - [i13]Yiying Wang, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections. CoRR abs/2407.14616 (2024) - [i12]Lei Li, Hannah J. Smith, Yilin Lyu, Julià Camps, Blanca Rodríguez, Abhirup Banerjee, Vicente Grau:
Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins. CoRR abs/2408.13945 (2024) - [i11]Yiying Wang, Abhirup Banerjee, Vicente Grau:
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections by Neural Implicit Representation. CoRR abs/2409.04596 (2024) - 2023
- [j11]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 Anal. 90: 102975 (2023) - [c24]Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios J. Hadjileontiadis, Ahsan Khandoker, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson:
HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning. BIBM 2023: 1886-1889 - [c23]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. EMBC 2023: 1-4 - [c22]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Influence of Myocardial Infarction on QRS Properties: A Simulation Study. FIMH 2023: 223-232 - [c21]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction. MICCAI (2) 2023: 532-542 - [c20]Jiachuan Peng, Marcel Beetz, Abhirup Banerjee, Min Chen, Vicente Grau:
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net. STACOM@MICCAI 2023: 163-173 - [c19]Haorui He, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network. STACOM@MICCAI 2023: 209-219 - [i10]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Blanca Rodríguez, Vicente Grau:
Influence of Myocardial Infarction on QRS Properties: A Simulation Study. CoRR abs/2304.01796 (2023) - [i9]Lei Li, Julià Camps, Zhinuo J. Wang, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference. CoRR abs/2307.04421 (2023) - [i8]Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, Vicente Grau:
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. CoRR abs/2307.07298 (2023) - [i7]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. CoRR abs/2307.08535 (2023) - [i6]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks. CoRR abs/2307.10927 (2023) - [i5]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction. CoRR abs/2307.11017 (2023) - [i4]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:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - [i3]Hannah J. Smith, Blanca Rodríguez, Yuling Sang, Marcel Beetz, Robin Choudhury, Vicente Grau, Abhirup Banerjee:
Anatomical basis of sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction. CoRR abs/2312.13976 (2023) - 2022
- [b1]Abhirup Banerjee:
Characterizing the spatio-temporal patterns of extreme events. University of Potsdam, Germany, 2022 - [j10]Abhirup Banerjee, Arindam Mishra, Syamal K. Dana, Chittaranjan Hens, Tomasz Kapitaniak, Jürgen Kurths, Norbert Marwan:
Predicting the data structure prior to extreme events from passive observables using echo state network. Frontiers Appl. Math. Stat. 8 (2022) - [c18]Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau:
Automated 3D Whole-Heart Mesh Reconstruction From 2D Cine MR Slices Using Statistical Shape Model. EMBC 2022: 1702-1706 - [c17]Hannah J. Smith, Abhirup Banerjee, Robin P. Choudhury, Vicente Grau:
Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction. EMBC 2022: 3809-3813 - [c16]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. GeoMedIA 2022: 3-14 - [c15]Marcel Beetz, Abhirup Banerjee, Yuling Sang, Vicente Grau:
Combined Generation of Electrocardiogram and Cardiac Anatomy Models Using Multi-Modal Variational Autoencoders. ISBI 2022: 1-4 - [c14]Haorui He, Abhirup Banerjee, Marcel Beetz, Robin P. Choudhury, Vicente Grau:
Semi-Supervised Coronary Vessels Segmentation from Invasive Coronary Angiography with Connectivity-Preserving Loss Function. ISBI 2022: 1-5 - [c13]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. STACOM@MICCAI 2022: 245-257 - [c12]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Point2Mesh-Net: Combining Point Cloud and Mesh-Based Deep Learning for Cardiac Shape Reconstruction. STACOM@MICCAI 2022: 280-290 - [c11]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. STACOM@MICCAI 2022: 291-301 - [c10]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. STACOM@MICCAI 2022: 369-380 - [i2]Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. CoRR abs/2208.04028 (2022) - 2021
- [j9]Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee:
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. 94: 102008 (2021) - [c9]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Biventricular Surface Reconstruction From Cine Mri Contours Using Point Completion Networks. ISBI 2021: 105-109 - [c8]Abhirup Banerjee, Ernesto Zacur, Robin P. Choudhury, Vicente Grau:
Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model. MIUA 2021: 201-209 - [c7]Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders. STACOM@MICCAI 2021: 75-83 - [c6]Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau:
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders. STACOM@MICCAI 2021: 219-228 - [i1]Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee:
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR abs/2104.04006 (2021) - 2020
- [j8]Abhirup Banerjee, Pradipta Maji:
A Spatially Constrained Probabilistic Model for Robust Image Segmentation. IEEE Trans. Image Process. 29: 4898-4910 (2020) - [j7]Abhirup Banerjee, Francesca Galassi, Ernesto Zacur, Giovanni Luigi De Maria, Robin Choudhury, Vicente Grau:
Point-Cloud Method for Automated 3D Coronary Tree Reconstruction From Multiple Non-Simultaneous Angiographic Projections. IEEE Trans. Medical Imaging 39(4): 1278-1290 (2020)
2010 – 2019
- 2019
- [j6]Abhirup Banerjee, Pradipta Maji:
Segmentation of bias field induced brain MR images using rough sets and stomped-t distribution. Inf. Sci. 504: 520-545 (2019) - [c5]Abhirup Banerjee, Robin Choudhury, Vicente Grau:
Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections. PReMI (2) 2019: 61-69 - 2018
- [j5]Abhirup Banerjee, Pradipta Maji:
Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation. J. Math. Imaging Vis. 60(3): 355-381 (2018) - [c4]Abhirup Banerjee, Rajesh K. Kharbanda, Robin Choudhury, Vicente Grau:
Automated Motion Correction and 3D Vessel Centerlines Reconstruction from Non-simultaneous Angiographic Projections. STACOM@MICCAI 2018: 12-20 - 2017
- [j4]Abhirup Banerjee, Pradipta Maji:
Stomped-t: A novel probability distribution for rough-probabilistic clustering. Inf. Sci. 421: 104-125 (2017) - 2016
- [j3]Abhirup Banerjee, Pradipta Maji:
Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images. Appl. Soft Comput. 46: 558-576 (2016) - 2015
- [j2]Abhirup Banerjee, Pradipta Maji:
Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images. IEEE Trans. Image Process. 24(12): 5764-5776 (2015) - [c3]Abhirup Banerjee, Pradipta Maji:
Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation. RSKT 2015: 459-469 - 2013
- [j1]Abhirup Banerjee, Pradipta Maji:
Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index. IEEE Trans. Medical Imaging 32(11): 2140-2151 (2013) - [c2]Abhirup Banerjee, Pradipta Maji:
Contraharmonic Mean Based Bias Field Correction in MR Images. CAIP (1) 2013: 523-530 - [c1]Abhirup Banerjee, Pradipta Maji:
Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI. ICIAP (2) 2013: 542-551
Coauthor Index
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