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A regional brain volume-based age prediction model for neonates and the derived brain maturation index.

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Title: A regional brain volume-based age prediction model for neonates and the derived brain maturation index.
Authors: 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.; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Kim J; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 03312, Republic of Korea., Kim JR; Department of Radiology, Dankook University Hospital, Dankook University College of Medicine, Cheonan-Si, Chungcheongnam-Do, Republic of Korea., Kim D; Research Institute, NEUROPHET Inc., Seoul, 06234, Republic of Korea. donghyeon.kim@neurophet.com.
Source: European radiology [Eur Radiol] 2024 Jun; Vol. 34 (6), pp. 3892-3902. Date of Electronic Publication: 2023 Nov 16.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1084
DOI:10.1007/s00330-023-10408-6