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Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning

  • Published:2014-07 Issue:7 Volume:33 Page:1475-1487
  • ISSN:0278-0062
  • Container-title:IEEE Transactions on Medical Imaging
  • language:
  • Short-container-title:IEEE Trans. Med. Imaging

Author:

Wan Jing,Zhang Zhilin,Rao Bhaskar D.,Fang Shiaofen,Yan Jingwen,Saykin Andrew J.,Shen Li

Funder

National Science Foundation

National Institutes of Health

Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health

DOD ADNI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction;IEEE Transactions on Knowledge and Data Engineering;2024-10

2. Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

3. Exploring Impact of Feature Selection on Classification Models for Detection of Alzheimer’s Disease;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

4. Distance-weighted Sinkhorn loss for Alzheimer’s disease classification;iScience;2024-03

5. Diagnosis of Alzheimer Disease Progression Stage from Cross Sectional Cognitive Data by Deep Neural Network;Progress in Artificial Intelligence and Pattern Recognition;2023-12-20
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