Work

A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis

Year: 2014

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2014.05.078

Authors: Xiaofeng Zhu, Heung-Il Suk, 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: National Natural Science Foundation of China, National Institutes of Health, National Institute on Aging, National Institute of Mental Health, 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, 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, 稀疏学习模型的核心理论和技术研究, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G93323634

OpenAlex ID: W2017237939

FWCI: 20.86

Cites: 63

Cited by: 202

Related to: 10