Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis-Reference-Cited by-同舟云学术

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

Published:2019-04 Issue: Volume:88 Page:370-382
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Peng Jialin^ORCID,Zhu Xiaofeng^ORCID,Wang Ye,An Le,Shen Dinggang

Funder

National Natural Science Foundation of China

National Institutes of Health

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference69 articles.

1. Alzheimer’s disease neuroimaging initiative biomarkers as quantitative phenotypes: genetics core aims, progress, and plans;Saykin;Alzheimer’s Dementia,2010

2. Mild cognitive impairment represents early-stage Alzheimer disease;Morris;Arch. Neurol.,2001

3. Voxel-based assessment of gray and white matter volumes in Alzheimer’s disease;Guo;Neurosci. Lett.,2010

4. Automatic classification of patients with Alzheimer’s disease from structural MRI: a comparison of ten methods using the adni database;Cuingnet;Neuroimage,2011

5. Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression;Wang,2011

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