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Feasibility of brain age predictions from clinical T1-weighted MRIs.
Valdes-Hernandez, Pedro A; Laffitte Nodarse, Chavier; Cole, James H; Cruz-Almeida, Yenisel.
Afiliación
  • Valdes-Hernandez PA; Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA.
  • Laffitte Nodarse C; Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA.
  • Cole JH; Centre for Medical Image Computing, Department of Computer Science, University College London, UK; Dementia Research Centre, Queen Square Institute of Neurology, University College London, UK.
  • Cruz-Almeida Y; Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA; Department of Neuroscience, College of M
Brain Res Bull ; 205: 110811, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37952679
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Brain Res Bull Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Brain Res Bull Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos