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Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease.
Abrol, Anees; Bhattarai, Manish; Fedorov, Alex; Du, Yuhui; Plis, Sergey; Calhoun, Vince.
Afiliação
  • Abrol A; Joint (GSU/GaTech/Emory) Center for Transational Research in Neuroimaging and Data Science, Atlanta, GA, 30303, USA; The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, 87131, USA
  • Bhattarai M; Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, 87131, USA; Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Fedorov A; Joint (GSU/GaTech/Emory) Center for Transational Research in Neuroimaging and Data Science, Atlanta, GA, 30303, USA; The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, 87131, USA
  • Du Y; Joint (GSU/GaTech/Emory) Center for Transational Research in Neuroimaging and Data Science, Atlanta, GA, 30303, USA; The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA; School of Computer and Information Technology, Shanxi University, Taiyuan, China.
  • Plis S; Joint (GSU/GaTech/Emory) Center for Transational Research in Neuroimaging and Data Science, Atlanta, GA, 30303, USA; The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA.
  • Calhoun V; Joint (GSU/GaTech/Emory) Center for Transational Research in Neuroimaging and Data Science, Atlanta, GA, 30303, USA; The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, 87131, USA
J Neurosci Methods ; 339: 108701, 2020 06 01.
Article em En | MEDLINE | ID: mdl-32275915
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Neurosci Methods Ano de publicação: 2020 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 Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Neurosci Methods Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos