Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Leiner, T, Rueckert, D, Suinesiaputra, A orcid.org/0000-0003-1165-458X 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

Abstract

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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 (http://creativecommons.org/licenses/by/4.0/), 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 (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Cardiovascular magnetic resonance; Machine learning; Deep learning; Radiomics
Dates:
  • 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: https://doi.org/10.1186/s12968-019-0575-y

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