Work

View-aligned hypergraph learning for Alzheimer’s disease diagnosis with incomplete multi-modality data

Year: 2016

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2016.11.002

Authors: Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen

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

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Alzheimer's Disease Neuroimaging Initiative, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: UC Davis Alzheimer's Disease Core Center, Analyzing Large-Scale Neuroimaging Data in Alzheimer's Disease, Infant Brain Measurement and Super-Resolution Atlas Construction, "MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies", 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, G9000108235

OpenAlex ID: W2555500380

FWCI: 16.58

Cites: 55

Cited by: 159

Related to: 10