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Showing 50 publications by Abhirup Banerjee

Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories

Lashgari M, Choudhury RP & Banerjee A (2024), Frontiers in Cardiovascular Medicine, 11

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@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"
}

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)00196-7

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@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)00196-7},
  year = "2024"
}

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Nan Y, Xing X, ShiyiWang , Tang Z, Felder FN et al. (2024), Medical image analysis, 97, 103253

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@article{huntingimagingb-2024/6,
  title={Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.},
  author={Nan Y, Xing X, ShiyiWang , Tang Z, Felder FN et al.},
  journal={Medical image analysis},
  volume={97},
  pages={103253},
  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

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@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

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@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"
}

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, PP

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@article{modelingdcardia-2024/4,
  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={PP},
  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)

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@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

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@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

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@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

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@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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@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)

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@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

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@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 human sex differences in ECG identified by automated torso-cardiac three-dimensional reconstruction

Smith HJ, Rodriguez B, Sang Y, Beetz M, Choudhury R et al. (2023)

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@misc{anatomicalbasis-2023/12,
  title={Anatomical basis of human sex differences in ECG identified by automated
  torso-cardiac three-dimensional 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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@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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@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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@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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@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)

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@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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@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)

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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)

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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)

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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"
}

Influence of myocardial infarction on QRS properties: a simulation study

Li L, Camps J, Wang Z, Banerjee A, Rodriguez B et al. (2023), 223-232

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@inproceedings{influenceofmyoc-2023/6,
  title={Influence of myocardial infarction on QRS properties: a simulation study},
  author={Li L, Camps J, Wang Z, Banerjee A, Rodriguez B et al.},
  booktitle={The 12th International Conference On Functional Imaging And Modeling Of The Heart (FIMH2023)},
  pages={223-232},
  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)

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@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"
}

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), Frontiers in Cardiovascular Medicine, 10

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@article{acutechangesinm-2023/2,
  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={Frontiers in Cardiovascular Medicine},
  volume={10},
  number={1097974},
  publisher={Frontiers Media},
  year = "2023"
}

Characterization of A Robust Probabilistic Framework for Brain MR Image Data Distributions

Banerjee A & Mukhoti SK (2023), Stat

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@article{characterizatio-2023/1,
  title={Characterization of A Robust Probabilistic Framework for Brain MR Image Data Distributions},
  author={Banerjee A & Mukhoti SK},
  journal={Stat},
  publisher={Wiley},
  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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@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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@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"
}

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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@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"
}

Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction

Beetz M, Banerjee A & Grau V (2023), 14221, 532-542

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@inproceedings{multiobjectivep-2023/,
  title={Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction},
  author={Beetz M, Banerjee A & Grau V},
  pages={532-542},
  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, 16(1), 46-59

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@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},
  volume={16},
  pages={46-59},
  publisher={Elsevier},
  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

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@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},
  number={983868},
  publisher={Frontiers Media},
  year = "2022"
}

Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets

Beetz M, Banerjee A & Grau V (2022), 3-14

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@inproceedings{reconstructingd-2022/11,
  title={Reconstructing 3D cardiac anatomies from misaligned multi-view magnetic resonance images with Mesh Deformation U-Nets},
  author={Beetz M, Banerjee A & Grau V},
  booktitle={Geometric Deep Learning in Medical Image Analysis (GeoMedIA Workshop) 2022},
  pages={3-14},
  year = "2022"
}

A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays

Ray S, Banerjee A, Swift A, Fanstone JW, Mamalakis M et al. (2022), Scientific Reports, 12

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@article{arobustcovidmor-2022/10,
  title={A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays
},
  author={Ray S, Banerjee A, Swift A, Fanstone JW, Mamalakis M et al.},
  journal={Scientific Reports},
  volume={12},
  number={18220},
  publisher={Springer Nature},
  year = "2022"
}

Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction.

Smith HJ, Banerjee A, Choudhury RP & Grau V (2022), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, 3809-3813

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@inproceedings{automatedtorsoc-2022/9,
  title={Automated Torso Contour Extraction from Clinical Cardiac MR Slices for 3D Torso Reconstruction.},
  author={Smith HJ, Banerjee A, Choudhury RP & Grau V},
  booktitle={44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},
  pages={3809-3813},
  year = "2022"
}

Automated 3D whole-heart mesh reconstruction from 2D cine MR slices using statistical shape model

Banerjee A, Zacur E, Choudhury RP & Grau V (2022), Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022), 2022, 1702-1706

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@inproceedings{automateddwhole-2022/9,
  title={Automated 3D whole-heart mesh reconstruction from 2D cine MR slices using statistical shape model},
  author={Banerjee A, Zacur E, Choudhury RP & Grau V},
  booktitle={44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)},
  pages={1702-1706},
  year = "2022"
}

Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers.

Boss AN, Banerjee A, Mamalakis M, Ray S, Swift AJ et al. (2022), International journal of molecular sciences, 23(13), 7260-7260

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@article{developmentofam-2022/6,
  title={Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers.},
  author={Boss AN, Banerjee A, Mamalakis M, Ray S, Swift AJ et al.},
  journal={International journal of molecular sciences},
  volume={23},
  pages={7260-7260},
  year = "2022"
}

Multi-domain variational autoencoders for combined modeling of MRI-based biventricular anatomy and ECG-based cardiac electrophysiology

Beetz M, Banerjee A & Grau V (2022), Frontiers in Physiology, 13

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@article{multidomainvari-2022/6,
  title={Multi-domain variational autoencoders for combined modeling of MRI-based biventricular anatomy and ECG-based cardiac electrophysiology},
  author={Beetz M, Banerjee A & Grau V},
  journal={Frontiers in Physiology},
  volume={13},
  number={886723},
  publisher={Frontiers Media},
  year = "2022"
}

Semi-supervised coronary vessels segmentation from invasive coronary angiography with connectivity-preserving loss function

He H, Banerjee A, Beetz M, Choudhury RP, Grau V et al. (2022), 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022)

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@inproceedings{semisupervisedc-2022/4,
  title={Semi-supervised coronary vessels segmentation from invasive coronary angiography with connectivity-preserving loss function},
  author={He H, Banerjee A, Beetz M, Choudhury RP, Grau V et al.},
  booktitle={IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022)},
  year = "2022"
}

Combined generation of electrocardiogram and cardiac anatomy models using multi-modal variational autoencoders

Beetz M, Banerjee A, Sang Y & Grau V (2022), Proceedings of the 2022 IEEE international symposium on biomedical imaging (IEEE ISBI 2022), 1-4

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@inproceedings{combinedgenerat-2022/4,
  title={Combined generation of electrocardiogram and cardiac anatomy models using multi-modal variational autoencoders},
  author={Beetz M, Banerjee A, Sang Y & Grau V},
  booktitle={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  pages={1-4},
  year = "2022"
}

Lesion Size Index (LSI)–guided catheter ablation for atrial fibrillation: can tissue impedance drop help to identify desirable ablation settings and target indices?

Leo M, Banerjee A, Gala AB, Pope M, Pedersen M et al. (2022)

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@misc{lesionsizeindex-2022/3,
  title={Lesion Size Index (LSI)–guided catheter ablation for atrial fibrillation: can tissue impedance drop help to identify desirable ablation settings and target indices?},
  author={Leo M, Banerjee A, Gala AB, Pope M, Pedersen M et al.},
  year = "2022"
}

Rapid neutrophil mobilization by VCAM-1+ endothelial cell-derived extracellular vesicles

Akbar N, Braithwaite AT, Corr EM, Koelwyn GJ, van Solingen C et al. (2022), Cardiovascular Research, 119(1), 236-251

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@article{rapidneutrophil-2022/2,
  title={Rapid neutrophil mobilization by VCAM-1+ endothelial cell-derived extracellular vesicles},
  author={Akbar N, Braithwaite AT, Corr EM, Koelwyn GJ, van Solingen C et al.},
  journal={Cardiovascular Research},
  volume={119},
  pages={236-251},
  publisher={Oxford University Press},
  year = "2022"
}

Predicting 3D cardiac deformations with point cloud autoencoders

Beetz M, Ossenberg-Engels J, Banerjee A & Grau V (2022), 219-228

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@misc{predictingdcard-2022/1,
  title={Predicting 3D cardiac deformations with point cloud autoencoders},
  author={Beetz M, Ossenberg-Engels J, Banerjee A & Grau V},
  year = "2022"
}

Generating subpopulation-specific biventricular anatomy models using conditional point cloud variational autoencoders

Beetz M, Banerjee A & Grau V (2022), 75-83

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@misc{generatingsubpo-2022/1,
  title={Generating subpopulation-specific biventricular anatomy models using conditional point cloud variational autoencoders},
  author={Beetz M, Banerjee A & Grau V},
  year = "2022"
}

Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets

Beetz M, Banerjee A & Grau V (2022), Proceedings of Machine Learning Research, 194, 3-14

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@inproceedings{reconstructingd-2022/1,
  title={Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets},
  author={Beetz M, Banerjee A & Grau V},
  pages={3-14},
  year = "2022"
}

Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets

Beetz M, Banerjee A & Grau V (2022), Proceedings of Machine Learning Research, 194, 3-14

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@inproceedings{reconstructingd-2022/1,
  title={Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets},
  author={Beetz M, Banerjee A & Grau V},
  pages={3-14},
  year = "2022"
}

Post-Infarction Risk Prediction with Mesh Classification Networks

Beetz M, Acero JC, Banerjee A, Eitel I, Zacur E et al. (2022), 13593, 291-301

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@misc{postinfarctionr-2022/,
  title={Post-Infarction Risk Prediction with Mesh Classification Networks},
  author={Beetz M, Acero JC, Banerjee A, Eitel I, Zacur E et al.},
  year = "2022"
}