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Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach

Crossref DOI link: https://doi.org/10.1186/s12968-021-00834-0

Published Print: 2022-01

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

Authors

Guo, Rui https://orcid.org/0000-0002-5188-6281
El-Rewaidy, Hossam

Assana, Salah

Cai, Xiaoying

Amyar, Amine

Chow, Kelvin

Bi, Xiaoming

Yankama, Tuyen

Cirillo, Julia

Pierce, Patrick

Goddu, Beth

Ngo, Long

Nezafat, Reza
Funding

Funding for this research was provided by:

National Institutes of Health (1R01HL129157, 1R01HL129185, 1R01HL127015, 1R01HL154744)

American Heart Association (15EIA22710040)
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Text and Data Mining valid from 2022-01-01

Text and Data Mining valid from 2022-01-01

Version of Record valid from 2022-01-06
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This article is maintained by: Elsevier

Article Title: Accelerated cardiac T1 mapping in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-021-00834-0

Content Type: article

Copyright: Copyright © 2022 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance