Work

Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features

Year: 2016

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2016.03.076

Authors: Sang Hyun Park, Xiaopeng Zong, Yaozong Gao, Weili Lin, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Korea University

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 Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: Infant Brain Measurement and Super-Resolution Atlas Construction, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, 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, Imaging Genomics Based Brain Disease Prediction, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI

OpenAlex ID: W2321286752

FWCI: 2.489

Cites: 54

Cited by: 47

Related to: 10