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Improving radiologist detection of meniscal abnormality on undersampled, deep learning reconstructed knee MRI.

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Title: Improving radiologist detection of meniscal abnormality on undersampled, deep learning reconstructed knee MRI.
Authors: Konovalova N; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Tolpadi A; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.; Bioengineering Department, University of California, Berkeley, Berkeley, CA, United States., Liu F; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Akkaya Z; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.; Faculty of Medicine, Radiology Department, Ankara University, Ankara, Turkey., Luitjens J; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Gassert F; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Giesler P; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.; Faculty of Medicine, University of Freiburg Medical Center, Freiburg, Germany., Bhattacharjee R; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Han M; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Bahroos E; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Majumdar S; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States., Pedoia V; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.
Source: Radiology advances [Radiol Adv] 2025 Apr 04; Vol. 2 (2), pp. umaf015. Date of Electronic Publication: 2025 Apr 04 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9918840888906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2976-9337 (Electronic) Linking ISSN: 29769337 NLM ISO Abbreviation: Radiol Adv Subsets: PubMed not MEDLINE
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  Data: Improving radiologist detection of meniscal abnormality on undersampled, deep learning reconstructed knee MRI.
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  Data: <searchLink fieldCode="AU" term="%22Konovalova+N%22">Konovalova N</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Tolpadi+A%22">Tolpadi A</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.; Bioengineering Department, University of California, Berkeley, Berkeley, CA, United States.<br /><searchLink fieldCode="AU" term="%22Liu+F%22">Liu F</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Akkaya+Z%22">Akkaya Z</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.; Faculty of Medicine, Radiology Department, Ankara University, Ankara, Turkey.<br /><searchLink fieldCode="AU" term="%22Luitjens+J%22">Luitjens J</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Gassert+F%22">Gassert F</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Giesler+P%22">Giesler P</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.; Faculty of Medicine, University of Freiburg Medical Center, Freiburg, Germany.<br /><searchLink fieldCode="AU" term="%22Bhattacharjee+R%22">Bhattacharjee R</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Han+M%22">Han M</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Bahroos+E%22">Bahroos E</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Majumdar+S%22">Majumdar S</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.<br /><searchLink fieldCode="AU" term="%22Pedoia+V%22">Pedoia V</searchLink>; Radiology and Biomedical Imaging Department, University of California, San Francisco, San Francisco, CA, United States.
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  Data: <searchLink fieldCode="JN" term="%229918840888906676%22">Radiology advances</searchLink> [Radiol Adv] 2025 Apr 04; Vol. 2 (2), pp. umaf015. <i>Date of Electronic Publication: </i>2025 Apr 04 (<i>Print Publication: </i>2025).
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              Text: 2025 Apr 04
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