Work

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition

Year: 2014

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2014.11.025

Authors: Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Shanghai Jiao Tong University, College of Charleston, 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 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: G1529334509, G2391590095, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, A Joint Segmentation and Registration Framework for Early Brain Development Study, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662

OpenAlex ID: W2069331971

FWCI: 9.473

Cites: 42

Cited by: 93

Related to: 10