Cardiac function assessment with deep-learning-based automatic segmentation of free-running four-dimensional whole-heart cardiovascular magnetic resonance.

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Bibliographic Details
Title: Cardiac function assessment with deep-learning-based automatic segmentation of free-running four-dimensional whole-heart cardiovascular magnetic resonance.
Authors: Ogier AC; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. Electronic address: augustin.ogier@gmail.com., Baup S; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Ilanjian G; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Touray A; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Rocca A; Cardiovascular Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Banús J; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Montón Quesada I; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Nicoletti M; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Ledoux JB; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland., Richiardi J; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland., Holtackers RJ; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, the Netherlands., Yerly J; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland., Stuber M; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland., Hullin R; Cardiovascular Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Rotzinger D; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., van Heeswijk RB; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Source: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2026 Summer; Vol. 28 (1), pp. 102677. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 9815616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-429X (Electronic) Linking ISSN: 10976647 NLM ISO Abbreviation: J Cardiovasc Magn Reson Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-429X
DOI:10.1016/j.jocmr.2025.102677