iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction-Reference-Cited by-同舟云学术

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iBEAT V2.0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction

Published:2023-03-03 Issue:5 Volume:18 Page:1488-1509
ISSN:1754-2189
Container-title:Nature Protocols
language:en
Short-container-title:Nat Protoc

Author:

Wang Li^ORCID,Wu Zhengwang^ORCID,Chen Liangjun,Sun Yue,Lin Weili,Li Gang^ORCID

Funder

U.S. Department of Health & Human Services | NIH | National Institute of Mental Health

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology

Link

https://www.nature.com/articles/s41596-023-00806-x.pdf

Reference43 articles.

1. Gilmore, J. H., Knickmeyer, R. C. & Gao, W. Imaging structural and functional brain development in early childhood. Nat. Rev. Neurosci. 19, 123–137 (2018).

2. Li, G. et al. Computational neuroanatomy of baby brains: a review. NeuroImage 185, 906–925 (2019).

3. Lyall, A. E. et al. Dynamic development of regional cortical thickness and surface area in early childhood. Cereb. Cortex 25, 2204–2212 (2015).

4. Garcia, K. E. et al. Dynamic patterns of cortical expansion during folding of the preterm human brain. Proc. Natl Acad. Sci. USA 115, 3156–3161 (2018).

5. Li, G. et al. Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of age. J. Neurosci. 34, 4228–4238 (2014).

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