Development and validation of AI-derived segmentation of four-chamber cine cardiac magnetic resonance

Assadi, H., Alabed, S., Li, R. et al. (13 more authors) (2024) Development and validation of AI-derived segmentation of four-chamber cine cardiac magnetic resonance. European Radiology Experimental, 8. 77. ISSN 2509-9280

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Item Type: Article
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© The Author(s) 2024. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Artificial intelligence, Deep learning, Heart diseases, Magnetic resonance imaging (cine), Prognosis
Dates:
  • Published: 12 July 2024
  • Published (online): 12 July 2024
  • Accepted: 30 April 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 01 Aug 2024 10:40
Last Modified: 01 Aug 2024 10:40
Status: Published
Publisher: SpringerOpen
Identification Number: 10.1186/s41747-024-00477-7
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