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ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data.
Liu, Hangfan; Grothe, Michel J; Rashid, Tanweer; Labrador-Espinosa, Miguel A; Toledo, Jon B; Habes, Mohamad.
Afiliação
  • Liu H; Neuroimage Analytics Laboratory (NAL) and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Phil
  • Grothe MJ; Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.
  • Rashid T; Neuroimage Analytics Laboratory (NAL) and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
  • Labrador-Espinosa MA; Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBE
  • Toledo JB; Department of Neurology, University of Florida College of Medicine, Gainesville, and also with Fixel Institute for Neurologic Diseases, University of Florida, Gainesville.
  • Habes M; Neuroimage Analytics Laboratory (NAL) and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Phil
IEEE Trans Emerg Top Comput Intell ; 7(2): 308-318, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36969108
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IEEE Trans Emerg Top Comput Intell Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IEEE Trans Emerg Top Comput Intell Ano de publicação: 2023 Tipo de documento: Article