Work

Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation

Year: 2013

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-40811-3_88

Authors: Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, 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: bronze

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

Awards: G1529334509, G2391590095, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G7662282662

OpenAlex ID: W26633915

FWCI: 1.702

Cites: 18

Cited by: 12

Related to: 10