Publications from the MultiMeDIA lab | Department of Engineering Science | University of Oxford
MultiMeDIA Publications
Early Access Articles
- Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios Hadjileontiadis, Ahsan Khandoker, Adam Lewandowski, Abhirup Banerjee, & Paul Leeson, “HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning”, Proc. 17th IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (Accepted), Istanbul, Turkey, Dec 2023. (Oral; Acceptance Rate: 19.5%)
- Dayne A. Beccano-Kelly, Marta Cherubini, Yassine Mousba, Kaitlyn Cramb, Stefania Giussani, Pavandeep Rai, Siv Vingill, Nora Bengoa-Vernigory, Bryan Ng, Gabriele Corda, Abhirup Banerjee, Jane Vowles, Sally Cowley, & Richard Wade-Martins, “Calcium Dysregulation, Mitochondrial Failure and Electrophysiological Maturity Converge to Confer Vulnerability in Parkinson’s iPSC-Dopamine Neurons”, iScience (In Press), June 2023. (IF: 6.107)
- † Marcel Beetz, Abhirup Banerjee, & Vicente Grau, “Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction”, Proc. Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Accepted), October 2023. (Top 13.6% out of 2253 papers)
- † Marcel Beetz, Yilong Yang, Abhirup Banerjee, Lei Li, & Vicente Grau, “3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks”, Proc. 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC) (In Press), Sydney, Australia, July 2023.
- Lei Li, Julia Camps, Zhinuo (Jenny) Wang, Abhirup Banerjee, Blanca Rodriguez, & Vicente Grau, “Influence of Myocardial Infarction on QRS Properties: A Simulation Study”, Proc. 12th International Conference on Functional Imaging and Modeling of the Heart (FIMH) (In Press), April 2023.
Patents
- A. Banerjee, R. P. Choudhury, and V. Grau, “Reconstruction method of organ vessel centerline”, US Patent Publication No. 2022/0020215 A1, filed by Oxford University Innovation (OUI), January 2022.
Published articles
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"
}
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"
}
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"
}
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
@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
Briosa e Gala A, 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={Briosa e Gala A, 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"
}
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, 103253
BibTeX
@article{huntingimagingb-2024/6,
title={Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.},
author={Nan Y, Xing X, Wang S, Tang Z, Felder FN et al.},
journal={Medical image analysis},
volume={97},
pages={103253},
publisher={Elsevier},
year = "2024"
}
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
BibTeX
@inproceedings{tcpnetanoveltum-2024/6,
title={TCPNet: A Novel Tumor Contour Prediction Network Using MRIs},
author={Agarwal S, Kurmi VK, Banerjee A & Basu T},
booktitle={2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)},
pages={183-188},
year = "2024"
}
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"
}