Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-1816-4_4
Reference29 articles.
1. Alzheimer’s Association et al., 2017 Alzheimer’s disease facts and figures. Alzheimer’s Dement. 13(4), 325–373 (2017)
2. S. Li, O. Okonkwo, M. Albert, M.-C. Wang, Variation in variables that predict progression from MCI to AD dementia over duration of follow-up. Am. J. Alzheimer’s Dis. 2(1), 12–28 (2013)
3. R. Cuingnet, E. Gerardin, J. Tessieras, G. Auzias, S. Lehéricy, M.-O. Habert, M. Chupin, H. Benali, O. Colliot, A.D.N. Initiative et al., Automatic classification of patients with alzheimer’s disease from structural MRI: a comparison of ten methods using the adni database. Neuroimage 56(2), 766–781 (2011)
4. F. Falahati, E. Westman, A. Simmons, Multivariate data analysis and machine learning in alzheimer’s disease with a focus on structural magnetic resonance imaging. J. Alzheimer’s Dis. 41(3), 685–708 (2014)
5. E. Moradi, A. Pepe, C. Gaser, H. Huttunen, J. Tohka, A.D.N. Initiative et al., Machine learning framework for early MRI-based alzheimer’s conversion prediction in mci subjects. Neuroimage 104, 398–412 (2015)
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