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Multimodal classification of extremely preterm and term adolescents using the fusiform gyrus: A machine learning approach.

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Bibliographic Details
Title: Multimodal classification of extremely preterm and term adolescents using the fusiform gyrus: A machine learning approach.
Authors: Grannis C; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States. Electronic address: Connor.Grannis@NationwideChildrens.org., Hung A; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States., French RC; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States., Mattson WI; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States., Fu X; College of Education, University of South Carolina, Columbia, SC, United States., Hoskinson KR; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States; Department of Pediatrics, Ohio State University Wexner College of Medicine, Columbus, OH, United States., Gerry Taylor H; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States; Department of Pediatrics, Ohio State University Wexner College of Medicine, Columbus, OH, United States., Nelson EE; Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, United States; Department of Pediatrics, Ohio State University Wexner College of Medicine, Columbus, OH, United States.
Source: NeuroImage. Clinical [Neuroimage Clin] 2022; Vol. 35, pp. 103078. Date of Electronic Publication: 2022 Jun 04.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101597070 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2213-1582 (Electronic) Linking ISSN: 22131582 NLM ISO Abbreviation: Neuroimage Clin Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2213-1582
DOI:10.1016/j.nicl.2022.103078