Showing 50 publications by Abhirup Banerjee
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"
}
Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-Segment Elevation Myocardial Infarction.
Shanmuganathan M, Nikolaidou C, Burrage MK, Borlotti A, Kotronias R et al. (2024), JACC. Cardiovascular imaging, S1936-878X(24)00196-7
BibTeX
@article{cardiovascularm-2024/6,
title={Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-Segment Elevation Myocardial Infarction.},
author={Shanmuganathan M, Nikolaidou C, Burrage MK, Borlotti A, Kotronias R et al.},
journal={JACC. Cardiovascular imaging},
pages={S1936-878X(24)00196-7},
year = "2024"
}
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
Nan Y, Xing X, ShiyiWang , Tang Z, Felder FN et al. (2024), Medical image analysis, 97, 103253
Conduction velocity-based functional substrate mapping during atrial fibrillation (AF) enhances identification of AF drivers compared to mapping during sinus rhythm
Sharp AJ, Pope MTB, Gala A, Varini R, Banerjee A et al. (2024), EP Europace, 26(Supplement_1), euae102.135
BibTeX
@article{conductionveloc-2024/5,
title={Conduction velocity-based functional substrate mapping during atrial fibrillation (AF) enhances identification of AF drivers compared to mapping during sinus rhythm},
author={Sharp AJ, Pope MTB, Gala A, Varini R, Banerjee A et al.},
journal={EP Europace},
volume={26},
pages={euae102.135},
publisher={Oxford University Press (OUP)},
year = "2024"
}
Automated continuous rhythm monitoring with implantable cardiac monitor and real-time smartphone alerts during af episodes: SMART-ALERT study
Gala ABE, Pope M, Leo M, Sharp A, Varini R et al. (2024), EP Europace, 26(Supplement_1), euae102.230
BibTeX
@article{automatedcontin-2024/5,
title={Automated continuous rhythm monitoring with implantable cardiac monitor and real-time smartphone alerts during af episodes: SMART-ALERT study},
author={Gala ABE, Pope M, Leo M, Sharp A, Varini R et al.},
journal={EP Europace},
volume={26},
pages={euae102.230},
publisher={Oxford University Press (OUP)},
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, PP
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
Shanmuganathan M, Gonzales Vera RA, Burrage M, Arvidsson P, Banerjee A et al. (2024), Proceedings of the CMR 2024 – The Global CMR Conference, 26(S1)
BibTeX
@inproceedings{automatedcmrind-2024/4,
title={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},
author={Shanmuganathan M, Gonzales Vera RA, Burrage M, Arvidsson P, Banerjee A et al.},
booktitle={CMR 2024 – The Global CMR Conference},
year = "2024"
}
Scoring systems developed by machine learning: intelligent but simple to use?
Banerjee A & Leeson P (2024), European Heart Journal, 45(11), 937-939
Towards enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference
Li L, Camps J, Wang Z, Beetz M, Banerjee A et al. (2024), IEEE Transactions on Medical Imaging
BibTeX
@article{towardsenabling-2024/2,
title={Towards enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference},
author={Li L, Camps J, Wang Z, Beetz M, Banerjee A et al.},
journal={IEEE Transactions on Medical Imaging},
publisher={IEEE},
year = "2024"
}
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network
He H, Banerjee A, Choudhury RP & Grau V (2024), 14507, 209-219
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
Peng J, Beetz M, Banerjee A, Chen M & Grau V (2024), 14507, 163-173
3D shape-based myocardial infarction prediction using point cloud classification networks
Beetz M, Yang Y, Banerjee A, Li L & Grau V (2023)
BibTeX
@inproceedings{dshapebasedmyoc-2023/12,
title={3D shape-based myocardial infarction prediction using point cloud classification networks},
author={Beetz M, Yang Y, Banerjee A, Li L & Grau V},
booktitle={45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)},
year = "2023"
}
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.
Beetz M, Banerjee A, Ossenberg-Engels J & Grau V (2023), Medical image analysis, 90, 102975
BibTeX
@article{multiclasspoint-2023/12,
title={Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images.},
author={Beetz M, Banerjee A, Ossenberg-Engels J & Grau V},
journal={Medical image analysis},
volume={90},
pages={102975},
year = "2023"
}
Anatomical basis of human sex differences in ECG identified by automated torso-cardiac three-dimensional reconstruction
Smith HJ, Rodriguez B, Sang Y, Beetz M, Choudhury R et al. (2023)
BibTeX
@misc{anatomicalbasis-2023/12,
title={Anatomical basis of human sex differences in ECG identified by automated
torso-cardiac three-dimensional reconstruction},
author={Smith HJ, Rodriguez B, Sang Y, Beetz M, Choudhury R et al.},
year = "2023"
}
HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning
Alkhodari M, Lapidaire W, Xiong Z, Kart T, Iturria-Medina Y et al. (2023), 00, 1886-1889
BibTeX
@inproceedings{hyperscoreaunif-2023/12,
title={HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning},
author={Alkhodari M, Lapidaire W, Xiong Z, Kart T, Iturria-Medina Y et al.},
booktitle={2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
pages={1886-1889},
year = "2023"
}
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Beetz M, Banerjee A, Ossenberg-Engels J & Grau V (2023), Medical Image Analysis, 90
BibTeX
@article{multiclasspoint-2023/9,
title={Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images},
author={Beetz M, Banerjee A, Ossenberg-Engels J & Grau V},
journal={Medical Image Analysis},
volume={90},
number={102975},
publisher={Elsevier},
year = "2023"
}
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Beetz M, Yang Y, Banerjee A, Li L & Grau V (2023)
BibTeX
@misc{dshapebasedmyoc-2023/7,
title={3D Shape-Based Myocardial Infarction Prediction Using Point Cloud
Classification Networks},
author={Beetz M, Yang Y, Banerjee A, Li L & Grau V},
year = "2023"
}
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction
Beetz M, Banerjee A & Grau V (2023)
BibTeX
@misc{multiobjectivep-2023/7,
title={Multi-objective point cloud autoencoders for explainable myocardial
infarction prediction},
author={Beetz M, Banerjee A & Grau V},
year = "2023"
}
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
Beetz M, Banerjee A & Grau V (2023)
BibTeX
@misc{modelingdcardia-2023/7,
title={Modeling 3D cardiac contraction and relaxation with point cloud
deformation networks},
author={Beetz M, Banerjee A & Grau V},
year = "2023"
}
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Beetz M, Banerjee A, Ossenberg-Engels J & Grau V (2023)
Calcium dysregulation combined with mitochondrial failure and electrophysiological maturity converge in Parkinson's iPSC-dopamine neurons.
Beccano-Kelly DA, Cherubini M, Mousba Y, Cramb KML, Giussani S et al. (2023), iScience, 26(7), 107044
BibTeX
@article{calciumdysregul-2023/7,
title={Calcium dysregulation combined with mitochondrial failure and electrophysiological maturity converge in Parkinson's iPSC-dopamine neurons.},
author={Beccano-Kelly DA, Cherubini M, Mousba Y, Cramb KML, Giussani S et al.},
journal={iScience},
volume={26},
pages={107044},
year = "2023"
}
Multi-objective point cloud autoencoders for explainable myocardial infarction prediction
Beetz M, Banerjee A & Grau V (2023)
BibTeX
@misc{multiobjectivep-2023/7,
title={Multi-objective point cloud autoencoders for explainable myocardial
infarction prediction},
author={Beetz M, Banerjee A & Grau V},
year = "2023"
}
Modeling 3D cardiac contraction and relaxation with point cloud deformation networks
Beetz M, Banerjee A & Grau V (2023)
BibTeX
@misc{modelingdcardia-2023/7,
title={Modeling 3D cardiac contraction and relaxation with point cloud
deformation networks},
author={Beetz M, Banerjee A & Grau V},
year = "2023"
}
Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
Beetz M, Banerjee A, Ossenberg-Engels J & Grau V (2023)
BibTeX
@misc{multiclasspoint-2023/7,
title={Multi-class point cloud completion networks for 3D cardiac anatomy
reconstruction from cine magnetic resonance images},
author={Beetz M, Banerjee A, Ossenberg-Engels J & Grau V},
year = "2023"
}
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks
Beetz M, Yang Y, Banerjee A, Li L & Grau V (2023)
BibTeX
@misc{dshapebasedmyoc-2023/7,
title={3D Shape-Based Myocardial Infarction Prediction Using Point Cloud
Classification Networks},
author={Beetz M, Yang Y, Banerjee A, Li L & Grau V},
year = "2023"
}
Influence of myocardial infarction on QRS properties: a simulation study
Li L, Camps J, Wang Z, Banerjee A, Rodriguez B et al. (2023), 223-232
BibTeX
@inproceedings{influenceofmyoc-2023/6,
title={Influence of myocardial infarction on QRS properties: a simulation study},
author={Li L, Camps J, Wang Z, Banerjee A, Rodriguez B et al.},
booktitle={The 12th International Conference On Functional Imaging And Modeling Of The Heart (FIMH2023)},
pages={223-232},
year = "2023"
}
Calcium dysregulation combined with mitochondrial failure and electrophysiological maturity converge in Parkinson’s iPSC-dopamine neurons
Beccano-Kelly DA, Cherubini M, Mousba Y, Cramb KML, Giussani S et al. (2023), iScience, 26(7)
BibTeX
@article{calciumdysregul-2023/6,
title={Calcium dysregulation combined with mitochondrial failure and electrophysiological maturity converge in Parkinson’s iPSC-dopamine neurons},
author={Beccano-Kelly DA, Cherubini M, Mousba Y, Cramb KML, Giussani S et al.},
journal={iScience},
volume={26},
number={107044},
publisher={Cell Press},
year = "2023"
}
Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19
Shanmuganathan M, Kotronias RA, Burrage MK, Ng Y, Banerjee A et al. (2023), Frontiers in Cardiovascular Medicine, 10
BibTeX
@article{acutechangesinm-2023/2,
title={Acute changes in myocardial tissue characteristics during hospitalization in patients with COVID-19},
author={Shanmuganathan M, Kotronias RA, Burrage MK, Ng Y, Banerjee A et al.},
journal={Frontiers in Cardiovascular Medicine},
volume={10},
number={1097974},
publisher={Frontiers Media},
year = "2023"
}
Characterization of A Robust Probabilistic Framework for Brain MR Image Data Distributions
Banerjee A & Mukhoti SK (2023), Stat
Influence of Myocardial Infarction on QRS Properties: A Simulation Study
Li L, Camps J, Wang Z, Banerjee A, Rodriguez B et al. (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13958 LNCS, 223-232
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction
Beetz M, Banerjee A & Grau V (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14221 LNCS, 532-542
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions
Banerjee A & Mukhoti S (2023), STAT, 12(1)
Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction
Beetz M, Banerjee A & Grau V (2023), 14221, 532-542
Acute response in the noninfarcted myocardium predicts long-term major adverse cardiac events after STEMI
Shanmuganathan M, Masi A, Burrage MK, Kotronias RA, Borlotti A et al. (2022), JACC: Cardiovascular Imaging, 16(1), 46-59
BibTeX
@article{acuteresponsein-2022/12,
title={Acute response in the noninfarcted myocardium predicts long-term major adverse cardiac events after STEMI},
author={Shanmuganathan M, Masi A, Burrage MK, Kotronias RA, Borlotti A et al.},
journal={JACC: Cardiovascular Imaging},
volume={16},
pages={46-59},
publisher={Elsevier},
year = "2022"
}
Interpretable cardiac anatomy modeling using variational mesh autoencoders
Beetz M, Corral Acero J, Banerjee A, Eitel I, Zacur E et al. (2022), Frontiers in Cardiovascular Medicine, 9
BibTeX
@article{interpretableca-2022/12,
title={Interpretable cardiac anatomy modeling using variational mesh autoencoders},
author={Beetz M, Corral Acero J, Banerjee A, Eitel I, Zacur E et al.},
journal={Frontiers in Cardiovascular Medicine},
volume={9},
number={983868},
publisher={Frontiers Media},
year = "2022"
}
Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets
Beetz M, Banerjee A & Grau V (2022), 3-14
BibTeX
@inproceedings{reconstructingd-2022/11,
title={Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets},
author={Beetz M, Banerjee A & Grau V},
booktitle={Geometric Deep Learning in Medical Image Analysis (GeoMedIA Workshop) 2022},
pages={3-14},
year = "2022"
}
A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays
Ray S, Banerjee A, Swift A, Fanstone JW, Mamalakis M et al. (2022), Scientific Reports, 12
BibTeX
@article{arobustcovidmor-2022/10,
title={A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays
},
author={Ray S, Banerjee A, Swift A, Fanstone JW, Mamalakis M et al.},
journal={Scientific Reports},
volume={12},
number={18220},
publisher={Springer Nature},
year = "2022"
}
Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction.
Smith HJ, Banerjee A, Choudhury RP & Grau V (2022), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, 3809-3813
BibTeX
@inproceedings{automatedtorsoc-2022/9,
title={Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction.},
author={Smith HJ, Banerjee A, Choudhury RP & Grau V},
booktitle={44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},
pages={3809-3813},
year = "2022"
}
Automated 3D whole-heart mesh reconstruction from 2D cine MR slices using statistical shape model
Banerjee A, Zacur E, Choudhury RP & Grau V (2022), Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022), 2022, 1702-1706
BibTeX
@inproceedings{automateddwhole-2022/9,
title={Automated 3D whole-heart mesh reconstruction from 2D cine MR slices using statistical shape model},
author={Banerjee A, Zacur E, Choudhury RP & Grau V},
booktitle={44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)},
pages={1702-1706},
year = "2022"
}
Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers.
Boss AN, Banerjee A, Mamalakis M, Ray S, Swift AJ et al. (2022), International journal of molecular sciences, 23(13), 7260-7260
BibTeX
@article{developmentofam-2022/6,
title={Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers.},
author={Boss AN, Banerjee A, Mamalakis M, Ray S, Swift AJ et al.},
journal={International journal of molecular sciences},
volume={23},
pages={7260-7260},
year = "2022"
}
Multi-domain variational autoencoders for combined modeling of MRI-based biventricular anatomy and ECG-based cardiac electrophysiology
Beetz M, Banerjee A & Grau V (2022), Frontiers in Physiology, 13
BibTeX
@article{multidomainvari-2022/6,
title={Multi-domain variational autoencoders for combined modeling of MRI-based biventricular anatomy and ECG-based cardiac electrophysiology},
author={Beetz M, Banerjee A & Grau V},
journal={Frontiers in Physiology},
volume={13},
number={886723},
publisher={Frontiers Media},
year = "2022"
}
Semi-supervised coronary vessels segmentation from invasive coronary angiography with connectivity-preserving loss function
He H, Banerjee A, Beetz M, Choudhury RP, Grau V et al. (2022), 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022)
BibTeX
@inproceedings{semisupervisedc-2022/4,
title={Semi-supervised coronary vessels segmentation from invasive coronary angiography with connectivity-preserving loss function},
author={He H, Banerjee A, Beetz M, Choudhury RP, Grau V et al.},
booktitle={IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022)},
year = "2022"
}
Combined generation of electrocardiogram and cardiac anatomy models using multi-modal variational autoencoders
Beetz M, Banerjee A, Sang Y & Grau V (2022), Proceedings of the 2022 IEEE international symposium on biomedical imaging (IEEE ISBI 2022), 1-4
BibTeX
@inproceedings{combinedgenerat-2022/4,
title={Combined generation of electrocardiogram and cardiac anatomy models using multi-modal variational autoencoders},
author={Beetz M, Banerjee A, Sang Y & Grau V},
booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
pages={1-4},
year = "2022"
}
Lesion Size Index (LSI)–guided catheter ablation for atrial fibrillation: can tissue impedance drop help to identify desirable ablation settings and target indices?
Leo M, Banerjee A, Gala AB, Pope M, Pedersen M et al. (2022)
Rapid neutrophil mobilization by VCAM-1+ endothelial cell-derived extracellular vesicles
Akbar N, Braithwaite AT, Corr EM, Koelwyn GJ, van Solingen C et al. (2022), Cardiovascular Research, 119(1), 236-251
BibTeX
@article{rapidneutrophil-2022/2,
title={Rapid neutrophil mobilization by VCAM-1+ endothelial cell-derived extracellular vesicles},
author={Akbar N, Braithwaite AT, Corr EM, Koelwyn GJ, van Solingen C et al.},
journal={Cardiovascular Research},
volume={119},
pages={236-251},
publisher={Oxford University Press},
year = "2022"
}
Predicting 3D cardiac deformations with point cloud autoencoders
Beetz M, Ossenberg-Engels J, Banerjee A & Grau V (2022), 219-228
Generating subpopulation-specific biventricular anatomy models using conditional point cloud variational autoencoders
Beetz M, Banerjee A & Grau V (2022), 75-83
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets
Beetz M, Banerjee A & Grau V (2022), Proceedings of Machine Learning Research, 194, 3-14
BibTeX
@inproceedings{reconstructingd-2022/1,
title={Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets},
author={Beetz M, Banerjee A & Grau V},
pages={3-14},
year = "2022"
}
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets
Beetz M, Banerjee A & Grau V (2022), Proceedings of Machine Learning Research, 194, 3-14
BibTeX
@inproceedings{reconstructingd-2022/1,
title={Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets},
author={Beetz M, Banerjee A & Grau V},
pages={3-14},
year = "2022"
}
Post-Infarction Risk Prediction with Mesh Classification Networks
Beetz M, Acero JC, Banerjee A, Eitel I, Zacur E et al. (2022), 13593, 291-301