Work

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation

Year: 2010

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2010.02.025

Authors: Feng Shi, Pew-Thian Yap, Yong Fan, John H. Gilmore, Weili Lin, Dinggang Shen

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: 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: G1761222865, Neonatal Brain Segmentation, G2211031860, G2686953907, G2849260730, G3186634833, G3258782064, Prospective Studies of the Pathogenesis of Schizophrenia, Continued Development of HAMMER Algorithm for Fast Registration, G4798393751, G4847335975, Longitudinal Mapping of Human Brain Development in the First Years of Life, G5294563186, Fast, Robust Analysis of Large Population Data, G665197000, 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

OpenAlex ID: W1984327987

FWCI: 10.02

Cites: 37

Cited by: 104

Related to: 10