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Frontiers in Cardiovascular Medicine
(Oct 2023)
Editorial: Generative adversarial networks in cardiovascular research
Qiang Zhang,
Qiang Zhang,
Tolga Cukur,
Tolga Cukur,
Hayit Greenspan,
Hayit Greenspan,
Guang Yang,
Guang Yang,
Guang Yang,
Guang Yang
Affiliations
Qiang Zhang
Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
Qiang Zhang
Big Data Institute, University of Oxford, Oxford, United Kingdom
Tolga Cukur
Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Türkiye
Tolga Cukur
National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Türkiye
Hayit Greenspan
Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel
Hayit Greenspan
Department of Radiology, Icahn School of Medicine, Mount Sinai, New York, NY, United States
Guang Yang
Bioengineering Department and Imperial-X, Imperial College London, London, United Kingdom
Guang Yang
National Heart and Lung Institute, Imperial College London, London, United Kingdom
Guang Yang
Cardiovascular Research Centre, Royal Brompton Hospital, London, United Kingdom
Guang Yang
0School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom
DOI
https://doi.org/10.3389/fcvm.2023.1307812
Journal volume & issue
Vol. 10
Abstract
Read online
No abstracts available.
Keywords
deep generative models
generative adversarial networks (GAN)
echocardiography (Echo)
cardiovascular magnetic resonance
segmentation (Image processing)
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