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A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke.
Liu, Chin-Fu; Leigh, Richard; Johnson, Brenda; Urrutia, Victor; Hsu, Johnny; Xu, Xin; Li, Xin; Mori, Susumu; Hillis, Argye E; Faria, Andreia V.
Afiliación
  • Liu CF; Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.
  • Leigh R; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Johnson B; Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Urrutia V; Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Hsu J; Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Xu X; Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Li X; Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Mori S; Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Hillis AE; Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Faria AV; Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Sci Data ; 10(1): 548, 2023 08 22.
Article en En | MEDLINE | ID: mdl-37607929
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Accidente Cerebrovascular Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Accidente Cerebrovascular Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos