Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI
Year: 2017
Type: article
Source: NeuroImage
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funders: National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Early Brain Development in One and Two Year Olds, Early Brain Development in Twins, Neonatal Brain Segmentation, Infant Brain Measurement and Super-Resolution Atlas Construction, UNC/UMN Baby Connectome Project, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Longitudinal Mapping of Human Brain Development in the First Years of Life, Fast, Robust Analysis of Large Population Data, 4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk Infants, Constructing 4-dimensional Infant Cortical Surface Atlases, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, Characterization of Normal Brain Development Using Parallel MRI, Early Brain Development in Twins, Robust White Matter Morphometry with Small Databases, G9000081443
OpenAlex ID: W2593224872