Crossmark

Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Crossref DOI link: https://doi.org/10.1186/s12968-019-0575-y

Published Print: 2019-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Leiner, Tim https://orcid.org/0000-0003-1885-5499
Rueckert, Daniel

Suinesiaputra, Avan

Baeßler, Bettina

Nezafat, Reza

Išgum, Ivana

Young, Alistair A.
Funding

Funding for this research was provided by:

EPSRC Programme Grant (EP/P001009/1)

Health Research Council of New Zealand (17/234)

National Institutes of Health (RO1HL121754, 1R01HL129185, 1R01HL129157, R01HL127017)

Netherlands Organization for Scientific Research (P15-26)

Netherlands Organisation for Scientific Research (P15-26)

American Heart Association (15EIA22710040)
License Information

Text and Data Mining valid from 2019-01-01

Text and Data Mining valid from 2019-01-01

Version of Record valid from 2019-10-07
More Information

This article is maintained by: Elsevier

Article Title: Machine learning in cardiovascular magnetic resonance: basic concepts and applications

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-019-0575-y

Content Type: article

Copyright: Copyright © 2019 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance