Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.

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Bibliographic Details
Title: Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.
Authors: Wang C; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China., He N; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Zhang Y; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Li Y; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Huang P; Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Liu Y; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Jin Z; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Cheng Z; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Liu Y; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China., Wang Y; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China., Zhang C; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China., Haacke EM; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; Department of Biomedical Engineering, Wayne State University, Detroit, Michigan, USA., Chen S; Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Yan F; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China., Yang G; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China.
Source: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Nov; Vol. 60 (5), pp. 1904-1915. Date of Electronic Publication: 2024 Jan 18.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1522-2586
DOI:10.1002/jmri.29245