Showing 50 publications by Abhirup Banerjee
Integrated Cardiac and Circulating N-glycan Signatures Reflect Atrial Remodeling in Patients with Atrial Fibrillation
Yiu CHK, Cheeseman J, Elgood-Hunt G, Ma CS, Banerjee A et al. (2026)
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction
Peng J, Beetz M, Banerjee A, Chen M & Grau V (2026), Medical Image Analysis, 103951-103951
BibTeX
@article{aemaninterpreta-2026/1,
title={AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction},
author={Peng J, Beetz M, Banerjee A, Chen M & Grau V},
journal={Medical Image Analysis},
number={103951},
pages={103951-103951},
publisher={Elsevier BV},
year = "2026"
}
An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning
Peng J, Beetz M, Banerjee A, Chen M & Grau V (2026), 15973, 13-23
Female anatomies disguise ECG abnormalities following myocardial infarction: an AI-enabled modelling and simulation study
Smith H, Banerjee A, Riebel LL, Doste R, Holmes M et al. (2025)
AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography
Atwany M, Lashgari M, Choudhury RP, Grau V & Banerjee A (2025)
Multi-phase deep learning model for automated disease classification from cardiac cine MRI
Srikijkasemwat N, Villarroel M & Banerjee A (2025), Journal of The Royal Society Interface, 22(231)
BibTeX
@article{multiphasedeepl-2025/10,
title={Multi-phase deep learning model for automated disease classification from cardiac cine MRI},
author={Srikijkasemwat N, Villarroel M & Banerjee A},
journal={Journal of The Royal Society Interface},
volume={22},
number={20250303},
publisher={The Royal Society},
year = "2025"
}
From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review
McMillian E, Banerjee A & Bueno-Orovio A (2025)
beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation
Ghosh S, Mukhoti S & Banerjee A (2025), SoftwareX, 31, 102273-102273
BibTeX
@article{betadistapython-2025/9,
title={beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation},
author={Ghosh S, Mukhoti S & Banerjee A},
journal={SoftwareX},
volume={31},
number={102273},
pages={102273-102273},
publisher={Elsevier BV},
year = "2025"
}
3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
Mozyrska J, Beetz M, Melas-Kyriazi L, Grau V, Banerjee A et al. (2025)
Domain-Specific Progressive Channel Dropout: Single-Source Domain Generalization for Vessel Segmentation in X-ray Coronary Angiography
Atwany M, Lashgari M, Choudhury RP & Banerjee A (2025), Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 00, 1-5
BibTeX
@inproceedings{domainspecificp-2025/7,
title={Domain-Specific Progressive Channel Dropout: Single-Source Domain Generalization for Vessel Segmentation in X-ray Coronary Angiography},
author={Atwany M, Lashgari M, Choudhury RP & Banerjee A},
booktitle={2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
pages={1-5},
year = "2025"
}
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
Chen C, Li L, Beetz M, Banerjee A, Gupta R et al. (2025), IEEE transactions on big data, 11(3), 948-960
3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis
Beetz M, Banerjee A, Li L, Camps J, Rodriguez B et al. (2025), Computerized Medical Imaging and Graphics, 102587
BibTeX
@article{dcardiacshapean-2025/6,
title={3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis},
author={Beetz M, Banerjee A, Li L, Camps J, Rodriguez B et al.},
journal={Computerized Medical Imaging and Graphics},
pages={102587},
publisher={Elsevier},
year = "2025"
}
SMART-ALERT study: continuous cardiac monitoring and real-time automated smartphone alerts for atrial fibrillation episodes
Gala ABE, Pope MTP, Leo M, Sharp A, Varini R et al. (2025), EP Europace, 27(Supplement_1), euaf085.079
BibTeX
@article{smartalertstudy-2025/5,
title={SMART-ALERT study: continuous cardiac monitoring and real-time automated smartphone alerts for atrial fibrillation episodes},
author={Gala ABE, Pope MTP, Leo M, Sharp A, Varini R et al.},
journal={EP Europace},
volume={27},
pages={euaf085.079},
publisher={Oxford University Press (OUP)},
year = "2025"
}
Real-time smartphone alerts during atrial fibrillation episodes with implantable cardiac monitors and wearable devices: SMART-ALERT study
Briosa E Gala A, Sharp A, Pope MTB, Leo M, Varini R et al. (2025), Heart Rhythm
BibTeX
@article{realtimesmartph-2025/4,
title={Real-time smartphone alerts during atrial fibrillation episodes with implantable cardiac monitors and wearable devices: SMART-ALERT study},
author={Briosa E Gala A, Sharp A, Pope MTB, Leo M, Varini R et al.},
journal={Heart Rhythm},
publisher={Elsevier},
year = "2025"
}
Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction
Sang Y, Banerjee A, Beetz M & Grau V (2025), Frontiers in Digital Health, 7
BibTeX
@article{deepconditional-2025/4,
title={Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction},
author={Sang Y, Banerjee A, Beetz M & Grau V},
journal={Frontiers in Digital Health},
volume={7},
number={1558589},
publisher={Frontiers Media},
year = "2025"
}
Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques
Sharp AJ, Pope MT, Briosa e Gala A, Varini R, Banerjee A et al. (2025), EP Europace, 27(4)
BibTeX
@article{identifyingextr-2025/3,
title={Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques},
author={Sharp AJ, Pope MT, Briosa e Gala A, Varini R, Banerjee A et al.},
journal={EP Europace},
volume={27},
number={euaf048},
publisher={Oxford University Press},
year = "2025"
}
DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections
Wang Y, Banerjee A, Choudhury RP & Grau V (2025), 00, 337-346
BibTeX
@inproceedings{deepcadeeplearn-2025/3,
title={DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections},
author={Wang Y, Banerjee A, Choudhury RP & Grau V},
booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
pages={337-346},
year = "2025"
}
Diagnostic Performance of Single-Lead Electrocardiograms from the Apple Watch and CART Ring for Cardiac Arrhythmias
Briosa e Gala A, Sharp AJ, Schraam D, Pope MTB, Leo M et al. (2025), Heart Rhythm O2
BibTeX
@article{diagnosticperfo-2025/3,
title={Diagnostic Performance of Single-Lead Electrocardiograms from the Apple Watch and CART Ring for Cardiac Arrhythmias},
author={Briosa e Gala A, Sharp AJ, Schraam D, Pope MTB, Leo M et al.},
journal={Heart Rhythm O2},
publisher={Elsevier},
year = "2025"
}
An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials
Doste R, Camps J, Wang ZJ, Berg LA, Holmes M et al. (2025)
New trends of adversarial machine learning for data fusion and intelligent system
Ding W, Zhang Z, Martínez L, Huang Y, Cao Z et al. (2025), Information Fusion, 114, 102683
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information
He H, Banerjee A, Choudhury RP & Grau V (2025), Medical Image Analysis, 103496-103496
BibTeX
@article{deeplearningbas-2025/2,
title={Deep learning based coronary vessels segmentation in X-ray angiography using temporal information},
author={He H, Banerjee A, Choudhury RP & Grau V},
journal={Medical Image Analysis},
number={103496},
pages={103496-103496},
publisher={Elsevier BV},
year = "2025"
}
Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.
Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Betts TR et al. (2025), Royal Society open science, 12(1), 241048
BibTeX
@article{multimodalinteg-2025/1,
title={Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.},
author={Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Betts TR et al.},
journal={Royal Society open science},
volume={12},
pages={241048},
publisher={The Royal Society},
year = "2025"
}
Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.
Li L, Smith H, Lyu Y, Camps J, Qian S et al. (2025), Medical image analysis, 101, 103472
BibTeX
@article{personalizedtop-2025/1,
title={Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.},
author={Li L, Smith H, Lyu Y, Camps J, Qian S et al.},
journal={Medical image analysis},
volume={101},
number={103472},
pages={103472},
publisher={Elsevier},
year = "2025"
}
Editorial: Artificial intelligence applications for cancer diagnosis in radiology
Banerjee A, Shan H & Feng R (2025), Frontiers in Radiology, 5, 1493783
Statistical Shape and Appearance Model of Left Atrial Geometry and Conduction Velocity in Atrial Fibrillation
Sharp AJ, Betts TR & Banerjee A (2025), Computing in Cardiology, 52
Deep Learning Optimisation for Sports Cardiology: Neural Architecture Search-Driven Arrhythmia Classification
Müller EV, Joe-Oshodi A, He L, Banerjee A & Villarroel M (2025), Computing in Cardiology, 52
Comparing Manual and Automated Digital Electrode Placement for 12-Lead ECG Using MRI-Based Torso Models
Faesy MC, Berg LA, Rocha LS, Almeida DK, Namorato FL et al. (2025), Computing in Cardiology, 52
Towards the Validation of a Digital Twin Pipeline on Patients with Bundle Branch Block
Pereira JPB, Berg LA, Camps J, Doste R, Soares TJ et al. (2025), Computing in Cardiology, 52
Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation
Zhang W, Banerjee A & Ray S (2025), 15335, 42-54
Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography
Atwany M, Lashgari M, Choudhury RP, Grau V & Banerjee A (2025), 15448, 1-11
Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI
Thesing C, Bueno-Orovio A & Banerjee A (2025), 15448, 214-225
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
Wang Y, Banerjee A & Grau V (2024), Bioengineering, 11(12), 1227-1227
Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures
Kart T, Alkhodari M, Lapidaire W, Banerjee A, Lewandowski AJ et al. (2024), 00, 1542-1547
BibTeX
@inproceedings{deeplearningbas-2024/12,
title={Deep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures},
author={Kart T, Alkhodari M, Lapidaire W, Banerjee A, Lewandowski AJ et al.},
booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
pages={1542-1547},
year = "2024"
}
Impact of adjacent thoracic structures in negative left atrial remodelling in atrial fibrillation
Sharp AJ, Pope MTB, Gala ABE, Varini R, Betts TR et al. (2024), European Heart Journal, 45(Supplement_1), ehae666.439
BibTeX
@article{impactofadjacen-2024/10,
title={Impact of adjacent thoracic structures in negative left atrial remodelling in atrial fibrillation},
author={Sharp AJ, Pope MTB, Gala ABE, Varini R, Betts TR et al.},
journal={European Heart Journal},
volume={45},
pages={ehae666.439},
publisher={Oxford University Press (OUP)},
year = "2024"
}
Comprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG
Schramm D, Varini R, Gala ABE, Banerjee A & Betts T (2024), European Heart Journal, 45(Supplement_1), ehae666.353
BibTeX
@article{comprehensiveca-2024/10,
title={Comprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG},
author={Schramm D, Varini R, Gala ABE, Banerjee A & Betts T},
journal={European Heart Journal},
volume={45},
pages={ehae666.353},
publisher={Oxford University Press (OUP)},
year = "2024"
}
“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study
Gala ABE, Pope MTB, Leo M, Sharp AJ, Banerjee A et al. (2024), Journal of Arrhythmia
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
Wang Y, Banerjee A & Grau V (2024)
Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation
van Zijl N, Banerjee A & Payne SJ (2024), IEEE Transactions on Biomedical Engineering, 72(2), 577-585
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, 28(8), 4810-4819
Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation
Leo M, Banerjee A, Gala ABE, Pope M, Pedersen M et al. (2024), Pacing and Clinical Electrophysiology
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning
Mamalakis M, Banerjee A, Ray S, Wilkie C, Clayton RH et al. (2024), Neural Computing and Applications, 1-22
BibTeX
@article{deepmultimetric-2024/8,
title={Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning},
author={Mamalakis M, Banerjee A, Ray S, Wilkie C, Clayton RH et al.},
journal={Neural Computing and Applications},
pages={1-22},
publisher={Springer Nature},
year = "2024"
}
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"
}
DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
Wang Y, Banerjee A, Choudhury RP & Grau V (2024)
BibTeX
@misc{deepcadeeplearn-2024/7,
title={DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from
Two 2D Non-simultaneous X-ray Angiography Projections},
author={Wang Y, Banerjee A, Choudhury RP & Grau V},
year = "2024"
}
Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review
Sharp AJ, Betts TR & Banerjee A (2024), Journal of Clinical Medicine, 13(15)
Cardiovascular magnetic resonance before invasive coronary angiography in suspected non-ST-segment elevation myocardial infarction
Shanmuganathan M, Nikolaidou C, Burrage M, Borlotti A, Kotronias R et al. (2024), JACC: Cardiovascular Imaging, 17(9), 1044-1058
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 M, Borlotti A, Kotronias R et al.},
journal={JACC: Cardiovascular Imaging},
volume={17},
pages={1044-1058},
publisher={Elsevier},
year = "2024"
}
Hunting imaging biomarkers in pulmonary fibrosis: benchmarks of the AIIB23 challenge
Nan Y, Xing X, Wang S, Tang Z, Felder FN et al. (2024), Medical Image Analysis, 97
Uncertainty Quantification in Deep Learning Framework for Mallampati Classification
Mahato A, Sarangi P, Kurmi VK, Banerjee A, Goyal A et al. (2024), 00, 626-631
BibTeX
@inproceedings{uncertaintyquan-2024/6,
title={Uncertainty Quantification in Deep Learning Framework for Mallampati Classification},
author={Mahato A, Sarangi P, Kurmi VK, Banerjee A, Goyal A et al.},
booktitle={2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)},
pages={626-631},
year = "2024"
}
TCPNet: A Novel Tumor Contour Prediction Network Using MRIs
Agarwal S, Kurmi VK, Banerjee A & Basu T (2024), 00, 183-188
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-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-euae102.230},
publisher={Oxford University Press (OUP)},
year = "2024"
}