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Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: Quantification of Bias in Population Analysis.

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Bibliographic Details
Title:	Comparison of synthetic LGE with optimal inversion time vs. conventional LGE via representation learning: Quantification of Bias in Population Analysis.
Authors:	Deleat-Besson R; Universite Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France. Electronic address: romain.deleat@creatis.insa-lyon.fr., Viallon M; Universite Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France; Department of Radiology, CHU Saint-Etienne, UJM Saint-Etienne, France., Petrusca L; Universite Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France; Department of Radiology, CHU Saint-Etienne, UJM Saint-Etienne, France., Croisille P; Universite Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France; Department of Radiology, CHU Saint-Etienne, UJM Saint-Etienne, France., Duchateau N; Universite Claude Bernard Lyon 1, INSA-Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France; Institut Universitaire de France (IUF) Paris, Paris, France.
Source:	Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt B), pp. 110643. Date of Electronic Publication: 2025 Jul 16.
Publication Type:	Journal Article; Comparative Study
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1879-0534
DOI:	10.1016/j.compbiomed.2025.110643