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
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"
}
???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 by 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 by
Neural Implicit Representation},
author={Wang Y, Banerjee A & Grau V},
year = "2024"
}
New Trends of Adversarial Machine Learning for Data Fusion and Intelligent System
Ding W, Zhang Z, Mart??nez L, Huang Y, Cao Z et al. (2024), Information Fusion, 102683
BibTeX
@article{newtrendsofadve-2024/9,
title={New Trends of Adversarial Machine Learning for Data Fusion and Intelligent System},
author={Ding W, Zhang Z, Mart??nez L, Huang Y, Cao Z et al.},
journal={Information Fusion},
pages={102683},
publisher={Elsevier},
year = "2024"
}
Modeling the mechanisms of non-neurogenic dynamic cerebral autoregulation
van Zijl N, Banerjee A & Payne SJ (2024), IEEE Transactions on Biomedical Engineering
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},
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 : PACE
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 : PACE},
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"
}
Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
Wang Y, Banerjee A, Choudhury RP & Grau V (2024)
BibTeX
@misc{deeplearningbas-2024/7,
title={Deep Learning-based 3D Coronary 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 MK, Borlotti A, Kotronias R et al. (2024), JACC. Cardiovascular imaging, S1936-878X(24)00196
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},
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"
}
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"
}
Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders
Seale T, Beetz M, Rodriguez B, Grau V & Banerjee A (2024), 00, 1-5
BibTeX
@inproceedings{modellingmultip-2024/5,
title={Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders},
author={Seale T, Beetz M, Rodriguez B, Grau V & Banerjee A},
booktitle={2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
pages={1-5},
year = "2024"
}
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
BibTeX
@article{scoringsystemsd-2024/2,
title={Scoring systems developed by machine learning: intelligent but simple to use?},
author={Banerjee A & Leeson P},
journal={European Heart Journal},
volume={45},
pages={937-939},
publisher={Oxford University Press},
year = "2024"
}
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
BibTeX
@misc{automatedcorona-2024/,
title={Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network},
author={He H, Banerjee A, Choudhury RP & Grau V},
year = "2024"
}
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
Peng J, Beetz M, Banerjee A, Chen M & Grau V (2024), 14507, 163-173
BibTeX
@misc{generatingvirtu-2024/,
title={Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net},
author={Peng J, Beetz M, Banerjee A, Chen M & Grau V},
year = "2024"
}
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"
}