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Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images

ContributorsPiccini, Davide; Demesmaeker, Robin; Heerfordt, John; Yerly, Jérôme; Di Sopra, Lorenzo; Masci, Pier Giorgio; Schwitter, Juerg; Van De Ville, Dimitriorcid; Richiardi, Jonas; Kober, Tobias; Stuber, Matthias
Published inRadiology: Artificial Intelligence, vol. 2, no. 3, e190123
Publication date2020
Abstract

Purpose: To develop and characterize an algorithm that mimics human expert visual assessment to quantitatively determine the quality of three-dimensional (3D) whole-heart MR images.

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Citation (ISO format)
PICCINI, Davide et al. Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images. In: Radiology: Artificial Intelligence, 2020, vol. 2, n° 3, p. e190123. doi: 10.1148/ryai.2020190123
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Additional URL for this publicationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082371/
Journal ISSN2638-6100
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Creation09/09/2021 15:23:00
First validation09/09/2021 15:23:00
Update16/03/2023 01:47:10
Status update16/03/2023 01:47:08
Last indexation31/10/2024 23:45:18
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