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Esther Puyol-Anton

Showing results (1-10 of 7) with videos related to

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Statistical Atlases and Computational Models of the Heart. STACOM (Workshop)|May 3, 2023
Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR SegmentationYu Deng, Yang Wen, Linglong Qian, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality SegmentationIlkay Oksuz, James R Clough, Bram Ruijsink, et al.
IEEE Transactions on Bio-Medical Engineering|August 17, 2018
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy PatientsEsther Puyol-Anton, Bram Ruijsink, Bernhard Gerber, et al.
IEEE Transactions on Bio-Medical Engineering|October 2, 2023
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and AnalysisInes Machado, Esther Puyol-Anton, Kerstin Hammernik, et al.
European Heart Journal. Cardiovascular Imaging|December 4, 2025
A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-Biobank and Multi-Ethnic Study of AtherosclerosisPier-Giorgio Masci, Gianni Andreozzi, Esther Puyol-Anton, et al.
European Heart Journal|October 9, 2025
Left ventricular geometry, brain architecture, and cognition: an observational studyPier-Giogio Masci, Maxim Freydin, Gianni Andreozzi, et al.
Science Advances|May 1, 2023
Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicityAmand F Schmidt, Mimount Bourfiss, Abdulrahman Alasiri, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Statistical Atlases and Computational Models of the Heart. STACOM (Workshop)|May 3, 2023
Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR SegmentationYu Deng, Yang Wen, Linglong Qian, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality SegmentationIlkay Oksuz, James R Clough, Bram Ruijsink, et al.
IEEE Transactions on Bio-Medical Engineering|August 17, 2018
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy PatientsEsther Puyol-Anton, Bram Ruijsink, Bernhard Gerber, et al.
IEEE Transactions on Bio-Medical Engineering|October 2, 2023
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and AnalysisInes Machado, Esther Puyol-Anton, Kerstin Hammernik, et al.
European Heart Journal. Cardiovascular Imaging|December 4, 2025
A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-Biobank and Multi-Ethnic Study of AtherosclerosisPier-Giorgio Masci, Gianni Andreozzi, Esther Puyol-Anton, et al.
European Heart Journal|October 9, 2025
Left ventricular geometry, brain architecture, and cognition: an observational studyPier-Giogio Masci, Maxim Freydin, Gianni Andreozzi, et al.
Science Advances|May 1, 2023
Druggable proteins influencing cardiac structure and function: Implications for heart failure therapies and cancer cardiotoxicityAmand F Schmidt, Mimount Bourfiss, Abdulrahman Alasiri, et al.
Pageof 1