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Deep whole brain segmentation of 7T structural MRI.
Ramadass, Karthik; Yu, Xin; Cai, Leon Y; Tang, Yucheng; Bao, Shunxing; Kerley, Cailey; D'Archangel, Micah; Barquero, Laura A; Newton, Allen T; Gauthier, Isabel; McGugin, Rankin Williams; Dawant, Benoit M; Cutting, Laurie E; Huo, Yuankai; Landman, Bennett A.
Afiliação
  • Ramadass K; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Yu X; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Cai LY; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
  • Tang Y; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Bao S; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Kerley C; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • D'Archangel M; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
  • Barquero LA; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
  • Newton AT; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
  • Gauthier I; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
  • McGugin RW; Department of Psychology, Vanderbilt University, Nashville, TN, USA.
  • Dawant BM; Department of Psychology, Vanderbilt University, Nashville, TN, USA.
  • Cutting LE; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Huo Y; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Landman BA; Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
Article em En | MEDLINE | ID: mdl-37123016

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos