Early Diagnosis of Alzheimer's Disease Using Deep Learning-Reference-Cited by-同舟云学术

Early Diagnosis of Alzheimer's Disease Using Deep Learning

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Control and Computer Vision - ICCCV 2019
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Author:

Ji Huanhuan¹,Liu Zhenbing¹,Yan Wei Qi²,Klette Reinhard²

Affiliation:

1. Guilin University of Electronic Technology, Guilin, China

2. Auckland University of Technology, Auckland, New Zealand

Publisher

ACM Press

Reference30 articles.

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2. R. Brookmeyer, E. Johnson, and K. Zieglergraham. 2007. Forecasting the global burden of Alzheimer's disease. Journal of the Alzheimers Association 3, 3 (2007), 186--191.

3. B. Cheng, D. Zhang, S. Chen, and D. Shen. 2011. Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. In Machine Learning in Medical Imaging(MLMI). Springer, Canada, 241--248.

4. D. Chyzhykand, M. Grana, A. Savio, and J. Maiora. 2012. Hybrid dendritic computing with kernel-LICA applied to Alzheimer's disease detection in MRI. Neurocomputing 75, 1 (2012), 72--77.

5. R. Cuingnet, E. Gerardin, and J. Tessieras. 2011. Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. Neuroimage 56, 2 (2011), 766--781.

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