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Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.

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Bibliographic Details
Title:	Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.
Authors:	Beyer, Rebecca Elisabeth^1,2,3 (AUTHOR), Hüllebrand, Markus^2,3,4,5 (AUTHOR), Doeblin, Patrick^1,2,3 (AUTHOR), Laube, Ann^2,3,4 (AUTHOR), Müller, Maximilian Leo^1,2,3 (AUTHOR), Stehning, Christian⁶ (AUTHOR), Werhahn, Stefanie Maria^1,2,3 (AUTHOR), Chen, Wensu⁷ (AUTHOR), Hennemuth, Anja^2,3,4,5 (AUTHOR), Kelle, Sebastian^1,2,3 (AUTHOR) sebastian.kelle@dhzc-charite.de
Source:	Scientific Reports. 3/10/2026, Vol. 16 Issue 1, p1-13. 13p.
Database:	Academic Search Ultimate
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ISSN:	20452322
DOI:	10.1038/s41598-026-43624-3