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LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images

Year: 2014
Type: article
Source: NeuroImage
DOI: 10.1016/j.neuroimage.2014.12.042
Authors: Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
Language: English
Open Access status: green
Funders: Foundation for the National Institutes of Health, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G1234639804, G1499720639, G1529334509, G1761222865, G1858496802, Early Brain Development in Twins, G1936500827, G1989292043, G2137816028, G2391590095, G2431482247, G2686953907, G3186634833, G3258782064, G3662821113, G4136484274, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, G4798393751, G4847335975, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, G6575006414, G6580566550, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662, G8269664978, G8341723830, G9000040056, G9000081443, G9000082513, G9000104217, G9000108347, G9000184678, G9000201120, G9000354377, G93323634
OpenAlex ID: W1999240723
FWCI: 21.37
Cites: 111
Cited by: 225
Related to: 10