Showing 50 publications by Abhirup Banerjee
An interpretable and explainable neural network to classify sports-related cardiac arrhythmias in professional football athletes
Vanegas Mueller E, Harford M, He L, Banerjee A, Leeson P et al. (2026)
BibTeX
@misc{aninterpretable-2026/3,
title={An interpretable and explainable neural network to classify sports-related cardiac arrhythmias in professional football athletes},
author={Vanegas Mueller E, Harford M, He L, Banerjee A, Leeson P et al.},
year = "2026"
}
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)
BibTeX
@misc{integratedcardi-2026/2,
title={Integrated Cardiac and Circulating N-glycan Signatures Reflect Atrial Remodeling in Patients with Atrial Fibrillation},
author={Yiu CHK, Cheeseman J, Elgood-Hunt G, Ma CS, Banerjee A et al.},
year = "2026"
}
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. (2026), Computer Methods and Programs in Biomedicine, 109290
BibTeX
@article{anautomatedcomp-2026/2,
title={An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials},
author={Doste R, Camps J, Wang ZJ, Berg LA, Holmes M et al.},
journal={Computer Methods and Programs in Biomedicine},
pages={109290},
publisher={Elsevier},
year = "2026"
}
Statistical shape modeling in cardiovascular disease: a narrative review
Sharp AJ, Betts TR & Banerjee A (2026), Journal of the Royal Society Interface, 23(235)
BibTeX
@article{statisticalshap-2026/2,
title={Statistical shape modeling in cardiovascular disease: a narrative review},
author={Sharp AJ, Betts TR & Banerjee A},
journal={Journal of the Royal Society Interface},
volume={23},
number={20250785},
publisher={The Royal Society},
year = "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
BibTeX
@misc{ananatomicalsig-2026/,
title={An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning},
author={Peng J, Beetz M, Banerjee A, Chen M & Grau V},
year = "2026"
}
Machine Learning-Driven Rational Design in Nanomedicine, Advances in Computational Drug Delivery and In Silico Screening
Ramadurai KW & Banerjee A (2026)
BibTeX
@book{machinelearning-2026/,
title={Machine Learning-Driven Rational Design in Nanomedicine, Advances in Computational Drug Delivery and In Silico Screening},
author={Ramadurai KW & Banerjee A},
publisher={Springer Nature},
year = "2026"
}
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)
BibTeX
@misc{femaleanatomies-2025/12,
title={Female anatomies disguise ECG abnormalities following myocardial infarction: an AI-enabled modelling and simulation study},
author={Smith H, Banerjee A, Riebel LL, Doste R, Holmes M et al.},
year = "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)
BibTeX
@misc{angiodginterpre-2025/11,
title={AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography},
author={Atwany M, Lashgari M, Choudhury RP, Grau V & Banerjee A},
year = "2025"
}
Posterior wall shape as a marker for identifying candidates for posterior wall isolation in persistent atrial fibrillation
Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Banerjee A et al. (2025), European Heart Journal, 46(Supplement_1)
BibTeX
@inproceedings{posteriorwallsh-2025/11,
title={Posterior wall shape as a marker for identifying candidates for posterior wall isolation in persistent atrial fibrillation},
author={Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Banerjee A et al.},
year = "2025"
}
Statistical shape and appearance modelling of atrial fibrillation: linking left atrial geometry and rotational propagation patterns
Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Betts TR et al. (2025), European Heart Journal, 46(Supplement_1)
BibTeX
@inproceedings{statisticalshap-2025/11,
title={Statistical shape and appearance modelling of atrial fibrillation: linking left atrial geometry and rotational propagation patterns},
author={Sharp AJ, Pope MTB, Briosa E Gala A, Varini R, Betts TR et al.},
year = "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)
BibTeX
@misc{fromdtoddeeplea-2025/10,
title={From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review},
author={McMillian E, Banerjee A & Bueno-Orovio A},
year = "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)
BibTeX
@misc{dcardiacanatomy-2025/8,
title={3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models},
author={Mozyrska J, Beetz M, Melas-Kyriazi L, Grau V, Banerjee A et al.},
year = "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
BibTeX
@article{largelanguagemo-2025/6,
title={Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.},
author={Chen C, Li L, Beetz M, Banerjee A, Gupta R et al.},
journal={IEEE transactions on big data},
volume={11},
pages={948-960},
year = "2025"
}
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 M, Leo M, Sharp A, Varini R et al. (2025), EP Europace, 27(Supplement_1), euaf085.079
BibTeX
@inproceedings{smartalertstudy-2025/5,
title={SMART-ALERT study: continuous cardiac monitoring and real-time automated smartphone alerts for atrial fibrillation episodes},
author={Gala ABE, Pope M, Leo M, Sharp A, Varini R et al.},
pages={euaf085.079},
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)
BibTeX
@misc{anautomatedcomp-2025/3,
title={An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials},
author={Doste R, Camps J, Wang ZJ, Berg LA, Holmes M et al.},
year = "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
BibTeX
@article{newtrendsofadve-2025/2,
title={New trends of adversarial machine learning for data fusion and intelligent system},
author={Ding W, Zhang Z, Martínez L, Huang Y, Cao Z et al.},
journal={Information Fusion},
volume={114},
pages={102683},
publisher={Elsevier},
year = "2025"
}
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
BibTeX
@article{editorialartifi-2025/1,
title={Editorial: Artificial intelligence applications for cancer diagnosis in radiology},
author={Banerjee A, Shan H & Feng R},
journal={Frontiers in Radiology},
volume={5},
pages={1493783},
publisher={Frontiers},
year = "2025"
}
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
BibTeX
@inproceedings{statisticalshap-2025/1,
title={Statistical Shape and Appearance Model of Left Atrial Geometry and Conduction Velocity in Atrial Fibrillation},
author={Sharp AJ, Betts TR & Banerjee A},
year = "2025"
}
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
BibTeX
@inproceedings{deeplearningopt-2025/1,
title={Deep Learning Optimisation for Sports Cardiology: Neural Architecture Search-Driven Arrhythmia Classification},
author={Müller EV, Joe-Oshodi A, He L, Banerjee A & Villarroel M},
year = "2025"
}
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
BibTeX
@inproceedings{comparingmanual-2025/1,
title={Comparing Manual and Automated Digital Electrode Placement for 12-Lead ECG Using MRI-Based Torso Models},
author={Faesy MC, Berg LA, Rocha LS, Almeida DK, Namorato FL et al.},
year = "2025"
}
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
BibTeX
@inproceedings{towardsthevalid-2025/1,
title={Towards the Validation of a Digital Twin Pipeline on Patients with Bundle Branch Block},
author={Pereira JPB, Berg LA, Camps J, Doste R, Soares TJ et al.},
year = "2025"
}
Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation
Zhang W, Banerjee A & Ray S (2025), 15335, 42-54
BibTeX
@misc{selfsupervisedi-2025/,
title={Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation},
author={Zhang W, Banerjee A & Ray S},
year = "2025"
}
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
BibTeX
@misc{singlesourcedom-2025/,
title={Single-Source Domain Generalization for Coronary Vessels Segmentation in X-Ray Angiography},
author={Atwany M, Lashgari M, Choudhury RP, Grau V & Banerjee A},
year = "2025"
}
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
BibTeX
@misc{evaluatingconvo-2025/,
title={Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI},
author={Thesing C, Bueno-Orovio A & Banerjee A},
year = "2025"
}
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
BibTeX
@article{necadcoronaryar-2024/12,
title={NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation},
author={Wang Y, Banerjee A & Grau V},
journal={Bioengineering},
volume={11},
pages={1227-1227},
publisher={MDPI AG},
year = "2024"
}
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
@inproceedings{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},
pages={ehae666.353},
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
BibTeX
@article{realworldperfor-2024/9,
title={“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study},
author={Gala ABE, Pope MTB, Leo M, Sharp AJ, Banerjee A et al.},
journal={Journal of Arrhythmia},
publisher={Wiley},
year = "2024"
}
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
Wang Y, Banerjee A & Grau V (2024)
BibTeX
@misc{necadcoronaryar-2024/9,
title={NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation},
author={Wang Y, Banerjee A & Grau V},
year = "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
BibTeX
@article{modelingthemech-2024/9,
title={Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation},
author={van Zijl N, Banerjee A & Payne SJ},
journal={IEEE Transactions on Biomedical Engineering},
volume={72},
pages={577-585},
publisher={IEEE},
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, 28(8), 4810-4819
BibTeX
@article{modelingdcardia-2024/8,
title={Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.},
author={Beetz M, Banerjee A & Grau V},
journal={IEEE journal of biomedical and health informatics},
volume={28},
pages={4810-4819},
year = "2024"
}
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
BibTeX
@article{roleofimpedance-2024/8,
title={Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation},
author={Leo M, Banerjee A, Gala ABE, Pope M, Pedersen M et al.},
journal={Pacing and Clinical Electrophysiology},
publisher={Wiley},
year = "2024"
}
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)
BibTeX
@article{leveragingdatri-2024/7,
title={Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review},
author={Sharp AJ, Betts TR & Banerjee A},
journal={Journal of Clinical Medicine},
volume={13},
number={4442},
publisher={MDPI},
year = "2024"
}