Funder
Natural Science Foundation of China
the National Key Research and Development Program of China
SMC Excellent Young Faculty program of SJTU
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,General Neuroscience,Software
Reference34 articles.
1. Adrien, P.A.G.M. (2015). Predicting Alzheimer’s disease: a neuroimaging study with 3D convolutional neural networks. arXiv:1502.02506 [cs.CV].
2. Alberdi, A., Aztiria, A., & Basarab, A. (2016). On the early diagnosis of Alzheimer's disease from multimodal signals: A survey. Artificial Intelligence in Medicine, 71, 1–29.
3. Cabral, C., Silveira, M., Neuroimaging, A.S.D. (2013). Classification of Alzheimer’s disease from FDG-PET images using favourite class ensembles. 2013 35th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (Embc), pp. 2477–2480.
4. Cheng, B., Liu, M., Suk, H. I., Shen, D., & Zhang, D. (2015). Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging and Behavior, 9, 913–926.
5. Gerardin, E., Chetelat, G., Chupin, M., Cuingnet, R., Desgranges, B., Kim, H. S., Niethammer, M., Dubois, B., Lehericy, S., Garnero, L., Eustache, F., Colliot, O., & Initi, A.s. D. N. (2009). Multidimensional classification of hippocampal shape features discriminates Alzheimer’s disease and mild cognitive impairment from normal aging. NeuroImage, 47, 1476–1486.
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