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Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations.
D'Souza, N S; Nebel, M B; Crocetti, D; Robinson, J; Wymbs, N; Mostofsky, S H; Venkataraman, A.
Afiliação
  • D'Souza NS; Department of Electrical and Computer Engineering, Johns Hopkins University, USA. Electronic address: Shimona.Niharika.Dsouza@jhu.edu.
  • Nebel MB; Center for Neurodevelopmental & Imaging Research, Kennedy Krieger Institute, USA; Department of Neurology, Johns Hopkins School of Medicine, USA.
  • Crocetti D; Center for Neurodevelopmental & Imaging Research, Kennedy Krieger Institute, USA.
  • Robinson J; Center for Neurodevelopmental & Imaging Research, Kennedy Krieger Institute, USA.
  • Wymbs N; Center for Neurodevelopmental & Imaging Research, Kennedy Krieger Institute, USA; Department of Neurology, Johns Hopkins School of Medicine, USA.
  • Mostofsky SH; Center for Neurodevelopmental & Imaging Research, Kennedy Krieger Institute, USA; Department of Neurology, Johns Hopkins School of Medicine, USA; Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, USA.
  • Venkataraman A; Department of Electrical and Computer Engineering, Johns Hopkins University, USA.
Neuroimage ; 241: 118388, 2021 11 01.
Article em En | MEDLINE | ID: mdl-34271159
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Conectoma / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Conectoma / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article