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Esther Puyol-Antón
Esther Puyol-Antón
Senior Research Scientist, HeartFlow
Geverifieerd e-mailadres voor kcl.ac.uk
Titel
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Geciteerd door
Jaar
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function
B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair, W Bai, JA Schnabel, ...
Cardiovascular Imaging 13 (3), 684-695, 2020
1582020
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
I Oksuz, B Ruijsink, E Puyol-Antón, JR Clough, G Cruz, A Bustin, C Prieto, ...
Medical image analysis 55, 136-147, 2019
1042019
Fairness in cardiac MR image analysis: an investigation of bias due to data imbalance in deep learning based segmentation
E Puyol-Antón, B Ruijsink, SK Piechnik, S Neubauer, SE Petersen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
762021
Global and local interpretability for cardiac MRI classification
JR Clough, I Oksuz, E Puyol-Antón, B Ruijsink, AP King, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2019
672019
Deep learning-based detection and correction of cardiac MR motion artefacts during reconstruction for high-quality segmentation
I Oksuz, JR Clough, B Ruijsink, EP Anton, A Bustin, G Cruz, C Prieto, ...
IEEE Transactions on Medical Imaging 39 (12), 4001-4010, 2020
652020
Fairness in cardiac magnetic resonance imaging: assessing sex and racial bias in deep learning-based segmentation
E Puyol-Antón, B Ruijsink, J Mariscal Harana, SK Piechnik, S Neubauer, ...
Frontiers in cardiovascular medicine 9, 859310, 2022
442022
A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data
E Puyol-Anton, M Sinclair, B Gerber, MS Amzulescu, H Langet, ...
Medical image analysis 40, 96-110, 2017
39*2017
Interpretable deep models for cardiac resynchronisation therapy response prediction
E Puyol-Antón, C Chen, JR Clough, B Ruijsink, BS Sidhu, J Gould, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
372020
Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space
I Oksuz, J Clough, B Ruijsink, E Puyol-Antón, A Bustin, G Cruz, C Prieto, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
372019
Regional multi-view learning for cardiac motion analysis: application to identification of dilated cardiomyopathy patients
E Puyol-Antón, B Ruijsink, B Gerber, MS Amzulescu, H Langet, ...
IEEE Transactions on Biomedical Engineering 66 (4), 956-966, 2018
342018
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks
E Puyol-Antón, B Ruijsink, W Bai, H Langet, M De Craene, JA Schnabel, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
342018
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control
E Puyol-Antón, B Ruijsink, CF Baumgartner, M Sinclair, E Konukoglu, ...
Journal of Cardiovascular Magnetic Resonance 22, 60-75, 2020
312020
Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection
I Oksuz, B Ruijsink, E Puyol-Antón, A Bustin, G Cruz, C Prieto, D Rueckert, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
312018
Fully automated segmentation-based respiratory motion correction of multiplanar cardiac magnetic resonance images for large-scale datasets
M Sinclair, W Bai, E Puyol-Antón, O Oktay, D Rueckert, AP King
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
302017
Prevalence and disease expression of pathogenic and likely pathogenic variants associated with inherited cardiomyopathies in the general population
M Bourfiss, M van Vugt, AI Alasiri, B Ruijsink, J van Setten, AF Schmidt, ...
Circulation: Genomic and Precision Medicine 15 (6), e003704, 2022
212022
Artificial intelligence in cardiac MRI: is clinical adoption forthcoming?
A Fotaki, E Puyol-Antón, A Chiribiri, R Botnar, K Pushparajah, C Prieto
Frontiers in Cardiovascular Medicine 8, 818765, 2022
192022
Medical image computing and computer assisted intervention–MICCAI 2021
E Puyol-Antón, B Ruijsink, SK Piechnik, S Neubauer, SE Petersen, ...
Springer International Publishing, Cham, 2021
182021
Uncertainty quantification in CNN-based surface prediction using shape priors
K Tóthová, S Parisot, MCH Lee, E Puyol-Antón, LM Koch, AP King, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018
182018
A multimodal deep learning model for cardiac resynchronisation therapy response prediction
E Puyol-Antón, BS Sidhu, J Gould, B Porter, MK Elliott, V Mehta, ...
Medical image analysis 79, 102465, 2022
172022
Digital bank runs: A deep neural network approach
M Sanchez-Roger, E Puyol-Antón
Sustainability 13 (3), 1513, 2021
162021
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