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MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

Crossref DOI link: https://doi.org/10.1186/s12968-021-00824-2

Published Print: 2021-03

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

Authors

Gonzales, Ricardo A. https://orcid.org/0000-0002-9384-4602
Seemann, Felicia

Lamy, Jérôme

Mojibian, Hamid

Atar, Dan

Erlinge, David

Steding-Ehrenborg, Katarina

Arheden, Håkan

Hu, Chenxi

Onofrey, John A.

Peters, Dana C.

Heiberg, Einar https://orcid.org/0000-0003-2848-3326
Funding

Funding for this research was provided by:

Lund University
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Text and Data Mining valid from 2021-03-01

Text and Data Mining valid from 2021-03-01

Version of Record valid from 2021-12-02
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This article is maintained by: Elsevier

Article Title: MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-021-00824-2

Content Type: article

Copyright: Copyright © 2021 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance

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