Work

Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis

Year: 2018

Type: article

Source: Pattern Recognition

DOI: 10.1016/j.patcog.2018.11.027

Authors: Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Huaqiao University, 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: Foundation for the National Institutes of Health, National Natural Science Foundation of China, Huaqiao University, 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, UNC/UMN Baby Connectome Project, 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, G6964267757, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, 面向肝肿瘤高精度自动语义分割的深度建模及模型跨域迁移算法研究, G8072959863, G988249013

OpenAlex ID: W2901050968

FWCI: 7.033

Cites: 79

Cited by: 107

Related to: 10