Work

Multi-modality Canonical Feature Selection for Alzheimer’s Disease Diagnosis

Year: 2014

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-10470-6_21

Authors: Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen

Institution: University of North Carolina at Chapel Hill

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

Awards: G1234639804, Infant Brain Measurement and Super-Resolution Atlas Construction, G2686953907, G3258782064, Assessing Large-scale Brain Connectivities in Mild Cognitive Impairment, Online Collection of Patient-Specific Information for Daily Prostate Segmentation, G4798393751, 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, G6575006414, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G93323634

OpenAlex ID: W177263842

FWCI: 31.77

Cites: 15

Cited by: 52

Related to: 10