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The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data.

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第一作者： Hosung,Kim

第一单位： Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States.

作者： Hosung,Kim ^[1] ; Andrei,Irimia ^[2] ; Samuel M,Hobel ^[1] ; Mher,Pogosyan ^[1] ; Haoteng,Tang ^[1] ; Petros,Petrosyan ^[1] ; Rita Esquivel Castelo,Blanco ^[1] ; Ben A,Duffy ^[1] ; Lu,Zhao ^[1] ; Karen L,Crawford ^[1] ; Sook-Lei,Liew ^[1] ; Kristi,Clark ^[1] ; Meng,Law ^[1] ; Pratik,Mukherjee ^[3] ; Geoffrey T,Manley ^[3] ; John D,Van Horn ^[1] ; Arthur W,Toga ^[1]

作者单位： Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States. ^[1] Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States.;Department of Gerontology, University of Southern California, Los Angeles, CA, United States. ^[2] Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States. ^[3]

关键词 LONI Pipeline diffusion tensor imaging functional magnetic resonance imaging magnetic resonance imaging quality control

DOI 10.3389/fninf.2019.00060

PMID 31555116

发布时间 2023-10-13

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