MultiMeDIA Publications
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
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, PP
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},
volume={PP},
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
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 sex differences in human post-myocardial infarction ECG phenotypes identified by novel automated torso-cardiac 3D reconstruction
Smith HJ, Rodriguez B, Sang Y, Beetz M, Choudhury R et al. (2023)
BibTeX
@misc{anatomicalbasis-2023/12,
title={Anatomical basis of sex differences in human post-myocardial infarction
ECG phenotypes identified by novel automated torso-cardiac 3D 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)
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"
}
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"
}
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"
}
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
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
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), Front Cardiovasc Med, 10, 1097974
BibTeX
@article{acutechangesinm-2023/,
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={Front Cardiovasc Med},
volume={10},
pages={1097974},
year = "2023"
}
Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions
Banerjee A & Mukhoti S (2023), STAT, 12(1)
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
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},
publisher={Elsevier BV},
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, 983868