Deep Convolutional Neural Networks for Automated Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Using 3D Brain MRI-Reference-Cited by-同舟云学术

Deep Convolutional Neural Networks for Automated Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Using 3D Brain MRI

Published:2018 Issue: Volume: Page:359-369
ISSN:0302-9743
Container-title:Brain Informatics
language:
Short-container-title:

Author:

Islam Jyoti, ,Zhang Yanqing

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05587-5_34

Reference26 articles.

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3. Brosch, T., Tam, R., For the Alzheimer’s Disease Neuroimaging Initiative: Manifold learning of brain MRIs by deep learning. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8150, pp. 633–640. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40763-5_78

4. Cárdenas-Peña, D., Collazos-Huertas, D., Castellanos-Dominguez, G.: Centered kernel alignment enhancing neural network pretraining for MRI-based dementia diagnosis. Comput. Math. Methods Med. 2016, 10 pages (2016)

5. Gupta, A., Ayhan, M., Maida, A.: Natural image bases to represent neuroimaging data. In: International Conference on Machine Learning, pp. 987–994 (2013)

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