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

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BibTeX

@article{scoringsystemsd-2024/3,
  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},
  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, PP

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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

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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

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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"
}

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

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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)

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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

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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

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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)

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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)

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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)

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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)

Altmetric score is

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

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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)

Altmetric score is

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)

Altmetric score is

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)

Altmetric score is

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)

Altmetric score is

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)

Altmetric score is

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

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BibTeX

@inproceedings{influenceofmyoc-2023/1,
  title={Influence of Myocardial Infarction on QRS Properties: A Simulation Study},
  author={Li L, Camps J, Wang Z, Banerjee A, Rodriguez B et al.},
  pages={223-232},
  year = "2023"
}

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

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BibTeX

@inproceedings{multiobjectivep-2023/1,
  title={Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction},
  author={Beetz M, Banerjee A & Grau V},
  pages={532-542},
  year = "2023"
}

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

Altmetric score is

BibTeX

@inproceedings{multiobjectivep-2023/1,
  title={Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction},
  author={Beetz M, Banerjee A & Grau V},
  pages={532-542},
  year = "2023"
}

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

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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)

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BibTeX

@article{characterizatio-2023/,
  title={Characterization of a robust probabilistic framework for brain magnetic resonance image data distributions},
  author={Banerjee A & Mukhoti S},
  journal={STAT},
  volume={12},
  number={ARTN e541},
  year = "2023"
}

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

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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

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BibTeX

@article{interpretableca-2022/12,
  title={Interpretable cardiac anatomy modeling using variational mesh autoencoders.},
  author={Beetz M, Corral Acero J, Banerjee A, Eitel I, Zacur E et al.},
  journal={Frontiers in cardiovascular medicine},
  volume={9},
  pages={983868},
  year = "2022"
}

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