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MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation

Crossref DOI link: https://doi.org/10.1186/s12968-023-00934-z

Published Print: 2023-02

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

Authors

Buoso, Stefano https://orcid.org/0000-0002-1293-3225
Joyce, Thomas

Schulthess, Nico

Kozerke, Sebastian
Funding

Funding for this research was provided by:

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (CR23I3-166485, 325230-197702)

ETH Domain (PHRT SWISSHEART Failure Network)

Swiss Federal Institute of Technology Zurich
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Text and Data Mining valid from 2023-02-01

Text and Data Mining valid from 2023-02-01

Version of Record valid from 2023-04-20
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This article is maintained by: Elsevier

Article Title: MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation

Journal Title: Journal of Cardiovascular Magnetic Resonance

CrossRef DOI link to publisher maintained version: https://doi.org/10.1186/s12968-023-00934-z

Content Type: article

Copyright: Copyright © 2023 THE AUTHORS. Published by Elsevier Inc on behalf of the Society for Cardiovascular Magnetic Resonance

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