Work

Denoising magnetic resonance images using collaborative non-local means

Year: 2015

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2015.11.031

Authors: Geng Chen, Pei Zhang, Yafeng Wu, Dinggang Shen, Pew-Thian Yap

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

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: China Scholarship Council, 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, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI

OpenAlex ID: W2196103734

FWCI: 3.754

Cites: 47

Cited by: 48

Related to: 10