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Longitudinal multiple sclerosis lesion segmentation data resource.
Carass, Aaron; Roy, Snehashis; Jog, Amod; Cuzzocreo, Jennifer L; Magrath, Elizabeth; Gherman, Adrian; Button, Julia; Nguyen, James; Bazin, Pierre-Louis; Calabresi, Peter A; Crainiceanu, Ciprian M; Ellingsen, Lotta M; Reich, Daniel S; Prince, Jerry L; Pham, Dzung L.
Afiliação
  • Carass A; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
  • Roy S; Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA.
  • Jog A; CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
  • Cuzzocreo JL; Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA.
  • Magrath E; Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
  • Gherman A; CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
  • Button J; Department of Biostatistics, The Johns Hopkins University, Baltimore, MD 21205, USA.
  • Nguyen J; Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
  • Bazin PL; Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
  • Calabresi PA; Department of Neurophysics, Max Planck Institute, 04103 Leipzig, Germany.
  • Crainiceanu CM; Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
  • Ellingsen LM; Department of Biostatistics, The Johns Hopkins University, Baltimore, MD 21205, USA.
  • Reich DS; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
  • Prince JL; Department of Electrical and Computer Engineering, University of Iceland, 107 Reykjavík, Iceland.
  • Pham DL; Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Data Brief ; 12: 346-350, 2017 Jun.
Article em En | MEDLINE | ID: mdl-28491937
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Data Brief Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Data Brief Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos