Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Leiner, T, Rueckert, D, Suinesiaputra, A et al. (4 more authors) (2019) Machine learning in cardiovascular magnetic resonance: basic concepts and applications. Journal of Cardiovascular Magnetic Resonance, 21 (1). 61. ISSN 1097-6647



Copyright, Publisher and Additional Information: © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.
Keywords: Cardiovascular magnetic resonance; Machine learning; Deep learning; Radiomics
  • Accepted: 2 September 2019
  • Published (online): 7 October 2019
  • Published: December 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 28 Feb 2020 09:41
Last Modified: 28 Feb 2020 09:41
Status: Published
Publisher: BMC
Identification Number: