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A regional brain volume-based age prediction model for neonates and the derived brain maturation index.
Park, Sunghwan; Kim, Hyun Gi; Yang, Hyeonsik; Lee, Minho; Kim, Regina E Y; Kim, Sun Hyung; Styner, Martin A; Kim, JeeYoung; Kim, Jeong Rye; Kim, Donghyeon.
Afiliación
  • Park S; Research Institute, NEUROPHET Inc., Seoul, 06234, Republic of Korea.
  • Kim HG; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 03312, Republic of Korea. catharina@catholic.ac.kr.
  • Yang H; Research Institute, NEUROPHET Inc., Seoul, 06234, Republic of Korea.
  • Lee M; Research Institute, NEUROPHET Inc., Seoul, 06234, Republic of Korea.
  • Kim REY; Research Institute, NEUROPHET Inc., Seoul, 06234, Republic of Korea.
  • Kim SH; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Styner MA; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Kim J; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Kim JR; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 03312, Republic of Korea.
  • Kim D; Department of Radiology, Dankook University Hospital, Dankook University College of Medicine, Cheonan-Si, Chungcheongnam-Do, Republic of Korea.
Eur Radiol ; 2023 Nov 16.
Article en En | MEDLINE | ID: mdl-37971681

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article