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Emerging deep learning techniques using magnetic resonance imaging data applied in multiple sclerosis and clinical isolated syndrome patients (Review).
Kontopodis, Eleftherios E; Papadaki, Efrosini; Trivizakis, Eleftherios; Maris, Thomas G; Simos, Panagiotis; Papadakis, Georgios Z; Tsatsakis, Aristidis; Spandidos, Demetrios A; Karantanas, Apostolos; Marias, Kostas.
Afiliação
  • Kontopodis EE; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013 Heraklion, Greece.
  • Papadaki E; Department of Radiology, Medical School, University of Crete, 70013 Heraklion, Greece.
  • Trivizakis E; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013 Heraklion, Greece.
  • Maris TG; Department of Radiology, Medical School, University of Crete, 70013 Heraklion, Greece.
  • Simos P; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013 Heraklion, Greece.
  • Papadakis GZ; Department of Radiology, Medical School, University of Crete, 70013 Heraklion, Greece.
  • Tsatsakis A; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013 Heraklion, Greece.
  • Spandidos DA; Department of Radiology, Medical School, University of Crete, 70013 Heraklion, Greece.
  • Karantanas A; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013 Heraklion, Greece.
  • Marias K; Department of Psychiatry and Behavioral Sciences, Medical School, University of Crete, 70013 Heraklion, Greece.
Exp Ther Med ; 22(4): 1149, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34504594
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Exp Ther Med Ano de publicação: 2021 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: Guideline / Prognostic_studies Idioma: En Revista: Exp Ther Med Ano de publicação: 2021 Tipo de documento: Article