Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans-Reference-Cited by-同舟云学术

Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans

Published:2022-12 Issue:3 Volume:305 Page:678-687
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Chen Joshua Vic¹^ORCID,Chaudhari Gunvant¹,Hess Christopher P.¹^ORCID,Glenn Orit A.¹^ORCID,Sugrue Leo P.¹^ORCID,Rauschecker Andreas M.¹^ORCID,Li Yi¹^ORCID

Affiliation:

1. From the School of Medicine (J.V.C., G.C.) and Department of Radiology and Biomedical Imaging (C.P.H., O.A.G., L.P.S., A.M.R., Y.L.), University of California, San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA 94143-0628.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.211860

Reference27 articles.

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2. White matter in learning, cognition and psychiatric disorders

3. Plasticity in oligodendrocyte lineage progression: An OPC puzzle on our nerves

4. Pediatric Neuroimaging

5. Sequence of Central Nervous System Myelination in Human Infancy. II. Patterns of Myelination in Autopsied Infants

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