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Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis.
Brugnara, Gianluca; Isensee, Fabian; Neuberger, Ulf; Bonekamp, David; Petersen, Jens; Diem, Ricarda; Wildemann, Brigitte; Heiland, Sabine; Wick, Wolfgang; Bendszus, Martin; Maier-Hein, Klaus; Kickingereder, Philipp.
Afiliação
  • Brugnara G; Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Isensee F; Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Neuberger U; Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Bonekamp D; Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Petersen J; Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Diem R; Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Wildemann B; Department of Neurology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Heiland S; Department of Neurology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Wick W; Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Bendszus M; Department of Neurology, University of Heidelberg Medical Center, Heidelberg, Germany.
  • Maier-Hein K; Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), DKFZ, Heidelberg, Germany.
  • Kickingereder P; Department of Neuroradiology, University of Heidelberg Medical Center, Heidelberg, Germany.
Eur Radiol ; 30(4): 2356-2364, 2020 Apr.
Article em En | MEDLINE | ID: mdl-31900702
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Esclerose Múltipla Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Redes Neurais de Computação / Esclerose Múltipla Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article