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Showing 50 publications by Abhirup Banerjee

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)

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@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

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@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

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@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

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@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

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@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

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@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

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@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

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@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

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@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

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@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

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@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

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@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)

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@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

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@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

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@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

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@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

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@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

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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"
}

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)

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@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)

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@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

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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 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

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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, 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

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@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

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@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

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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-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-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

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@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"
}

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation

Xu W, Moffat M, Seale T, Liang Z, Wagner F et al. (2024)

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@misc{feasibilityandb-2024/5,
  title={Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation},
  author={Xu W, Moffat M, Seale T, Liang Z, Wagner F et al.},
  year = "2024"
}

PO-03-143 SUPERIORITY OF FUNCTIONAL VS STRUCTURAL ATRIAL SUBSTRATE MAPPING FOR IDENTIFICATION OF NON-PULMONARY VEIN DRIVERS IN ATRIAL FIBRILLATION

Sharp AJ, Pope MT, Briosa e Gala A, Varini R, Banerjee A et al. (2024), Heart Rhythm, 21(5), s343-s344

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@article{posuperiorityof-2024/5,
  title={PO-03-143 SUPERIORITY OF FUNCTIONAL VS STRUCTURAL ATRIAL SUBSTRATE MAPPING FOR IDENTIFICATION OF NON-PULMONARY VEIN DRIVERS IN ATRIAL FIBRILLATION},
  author={Sharp AJ, Pope MT, Briosa e Gala A, Varini R, Banerjee A et al.},
  journal={Heart Rhythm},
  volume={21},
  pages={s343-s344},
  publisher={Elsevier},
  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"
}

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation

Xu W, Moffat M, Seale T, Liang Z, Wagner F et al. (2024), Proceedings of Machine Learning Research, 250, 1771-1784

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@inproceedings{feasibilityandb-2024/1,
  title={Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation},
  author={Xu W, Moffat M, Seale T, Liang Z, Wagner F et al.},
  pages={1771-1784},
  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"
}

CMR 2-47 Cardiovascular Magnetic Resonance Imaging Before Invasive Coronary Angiography in Suspected Non-st-segment Elevation Myocardial Infarction Can Change Management in over One-third of the Patients

Shanmuganathan M, Nikolaidou C, Burrage M, Borlotti A, Kotronias R et al. (2024), Journal of Cardiovascular Magnetic Resonance, 26, 100129

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@article{cmrcardiovascul-2024/,
  title={CMR 2-47 Cardiovascular Magnetic Resonance Imaging Before Invasive Coronary Angiography in Suspected Non-st-segment Elevation Myocardial Infarction Can Change Management in over One-third of the Patients},
  author={Shanmuganathan M, Nikolaidou C, Burrage M, Borlotti A, Kotronias R et al.},
  journal={Journal of Cardiovascular Magnetic Resonance},
  volume={26},
  pages={100129},
  publisher={Elsevier},
  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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@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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@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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@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"
}