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Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Crossref DOI link: https://doi.org/10.1186/s12968-019-0523-x

Published Print: 2019-01

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

Authors

Robinson, Robert http://orcid.org/0000-0003-3688-8331
Valindria, Vanya V.

Bai, Wenjia

Oktay, Ozan

Kainz, Bernhard

Suzuki, Hideaki

Sanghvi, Mihir M.

Aung, Nay

Paiva, José Miguel

Zemrak, Filip

Fung, Kenneth

Lukaschuk, Elena

Lee, Aaron M.

Carapella, Valentina

Kim, Young Jin

Piechnik, Stefan K.

Neubauer, Stefan

Petersen, Steffen E.

Page, Chris

Matthews, Paul M.

Rueckert, Daniel

Glocker, Ben
Funding

Funding for this research was provided by:

Engineering and Physical Sciences Research Council (EP/L015226/1)

Engineering and Physical Sciences Research Council (EP/P001009/ 1)

Medical Research Council (MR/L016311/1)

Wellcome Trust (203553/Z/Z)

British Heart Foundation (G/14/89/31194)

European Research Council (ERC-2017-STG)
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 2019-03-14
More Information

This article is maintained by: Elsevier

Article Title: Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-019-0523-x

Content Type: article

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