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Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition

Crossref DOI link: https://doi.org/10.1007/s10554-020-02050-w

Published Online: 2020-10-29

Published Print: 2021-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Howard, James P. https://orcid.org/0000-0002-9989-6331
Zaman, Sameer

Ragavan, Aaraby

Hall, Kerry

Leonard, Greg

Sutanto, Sharon

Ramadoss, Vijay

Razvi, Yousuf

Linton, Nick F.

Bharath, Anil

Shun-Shin, Matthew

Rueckert, Daniel

Francis, Darrel

Cole, Graham
Funding

Funding for this research was provided by:

Wellcome Trust (212183/Z/18/Z)

Imperial College London
License Information

Text and Data Mining valid from 2020-10-29

Version of Record valid from 2020-10-29
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Article History

Received: 16 August 2020

Accepted: 29 September 2020

First Online: 29 October 2020

Compliance with ethical standards

:

: The authors declare that there are no competing interests.

: Ethical approval was gained from the Health Regulatory Agency (Integrated Research Application System identifier 243023).

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