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An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance

Crossref DOI link: https://doi.org/10.1186/s12968-022-00879-9

Published Print: 2022-01

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

Authors

Morales, Manuel A.

Assana, Salah

Cai, Xiaoying

Chow, Kelvin

Haji-valizadeh, Hassan

Sai, Eiryu

Tsao, Connie

Matos, Jason

Rodriguez, Jennifer

Berg, Sophie

Whitehead, Neal

Pierce, Patrick

Goddu, Beth

Manning, Warren J.

Nezafat, Reza
Funding

Funding for this research was provided by:

Foundation for the National Institutes of Health (R01HL127015)

Foundation for the National Institutes of Health (R01HL129157)

Foundation for the National Institutes of Health (R01HL129185)

Foundation for the National Institutes of Health (R01HL154744)

Foundation for the National Institutes of Health (R01HL158098)

Foundation for the National Institutes of Health (R01HL158077)
License Information

Text and Data Mining valid from 2022-01-01

Text and Data Mining valid from 2022-01-01

Version of Record valid from 2022-08-11
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This article is maintained by: Elsevier

Article Title: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-022-00879-9

Content Type: article

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