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MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions.
Valcarcel, Alessandra M; Linn, Kristin A; Vandekar, Simon N; Satterthwaite, Theodore D; Muschelli, John; Calabresi, Peter A; Pham, Dzung L; Martin, Melissa Lynne; Shinohara, Russell T.
Afiliação
  • Valcarcel AM; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Linn KA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Vandekar SN; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Satterthwaite TD; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Muschelli J; Department of Biostatistics, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD.
  • Calabresi PA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD.
  • Pham DL; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD.
  • Martin ML; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Shinohara RT; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
J Neuroimaging ; 28(4): 389-398, 2018 07.
Article em En | MEDLINE | ID: mdl-29516669

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Imageamento por Ressonância Magnética / Esclerose Múltipla Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Imageamento por Ressonância Magnética / Esclerose Múltipla Idioma: En Ano de publicação: 2018 Tipo de documento: Article