Work

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation

Year: 2019

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2019.04.010

Authors: Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen

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

Language: English

Topic: Advanced Image Processing 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 Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G2391590095, G597442328, Constructing 4-dimensional Infant Cortical Surface Atlases, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G9000108347, G9000209393, G9000283844

OpenAlex ID: W2939984249

FWCI: 1.788

Cites: 68

Cited by: 25

Related to: 10