Multicenter validation of automated detection of paramagnetic rim lesions on brain MRI in multiple sclerosis.

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Bibliographic Details
Title: Multicenter validation of automated detection of paramagnetic rim lesions on brain MRI in multiple sclerosis.
Authors: Chen L; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.; School of Medicine, Georgetown University, Washington, DC, USA., Ren Z; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Clark KA; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Lou C; Pfizer Inc., New York, New York, USA., Liu F; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Cao Q; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Manning AR; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Martin ML; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Luskin E; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA., O'Donnell CM; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Azevedo CJ; Department of Neurology, University of Southern California, Los Angeles, California, USA., Calabresi PA; Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA., Freeman L; Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA., Henry RG; UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, USA., Longbrake EE; Department of Neurology, Yale University, New Haven, Connecticut, USA., Oh J; Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada., Papinutto N; UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, USA., Bilello M; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Song JW; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Kaisey M; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA., Sicotte NL; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA., Reich DS; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA., Solomon AJ; Department of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA., Ontaneda D; Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, Ohio, USA., Sati P; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, USA., Absinta M; Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA., Schindler MK; Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA., Shinohara RT; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.; Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Corporate Authors: NAIMS Cooperative
Source: Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2024 Nov-Dec; Vol. 34 (6), pp. 750-757. Date of Electronic Publication: 2024 Oct 15.
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9102705 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6569 (Electronic) Linking ISSN: 10512284 NLM ISO Abbreviation: J Neuroimaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1552-6569
DOI:10.1111/jon.13242