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ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates.
Wang, Yun; Haghpanah, Fateme Sadat; Zhang, Xuzhe; Santamaria, Katie; da Costa Aguiar Alves, Gabriela Koch; Bruno, Elizabeth; Aw, Natalie; Maddocks, Alexis; Duarte, Cristiane S; Monk, Catherine; Laine, Andrew; Posner, Jonathan.
Afiliación
  • Wang Y; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
  • Haghpanah FS; New York State Psychiatric Institute, New York, NY, USA.
  • Zhang X; Department of Computer Science, University Of Toronto, Toronto, ON, Canada.
  • Santamaria K; Department of Biomedical Engineering, Columbia University, New York, NY, USA.
  • da Costa Aguiar Alves GK; New York State Psychiatric Institute, New York, NY, USA.
  • Bruno E; New York State Psychiatric Institute, New York, NY, USA.
  • Aw N; New York State Psychiatric Institute, New York, NY, USA.
  • Maddocks A; New York State Psychiatric Institute, New York, NY, USA.
  • Duarte CS; Department of Radiology, Columbia University, New York, NY, USA.
  • Monk C; New York State Psychiatric Institute, New York, NY, USA.
  • Laine A; New York State Psychiatric Institute, New York, NY, USA.
  • Posner J; Department of Obstetrics and Gynecology, Columbia University, New York, NY, USA.
Brain Inform ; 9(1): 12, 2022 May 28.
Article en En | MEDLINE | ID: mdl-35633447
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Brain Inform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Brain Inform Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos