Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis-Reference-Cited by-同舟云学术

Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis

Published:2021-01-04 Issue:5 Volume:15 Page:2330-2339
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Li Aojie,Li Fan,Elahifasaee Farzaneh,Liu Manhua^ORCID,Zhang Lichi,

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Shanghai Jiao Tong University Scientific and Technological Innovation Funds

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Neurology (clinical),Cognitive Neuroscience,Neurology,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11682-020-00427-y.pdf

Reference31 articles.

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2. Beg, M. F., Raamana, P. R., Barbieri, S., & Wang, L. (2013). Comparison of four shape features for detecting hippocampal shape changes in early Alzheimer's. Statistical Methods in Medical Research, 22(4), 439–462.

3. Chupin, M., Gérardin, E., Cuingnet, R., Boutet, C., Lemieux, L., Lehéricy, S., ... Colliot, O. (2010). Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus, 19(6), 579–587.

4. Cui, R., & Liu, M. (2018). Hippocampus analysis by combination of 3D DenseNet and shapes for Alzheimer’s disease diagnosis. IEEE Journal of Biomedical & Health Informatics, 23(5), 2099–2107.

5. Emilie, G., Gaël, C., Marie, C., Rémi, C., Béatrice, D., Ho-Sung, K., et al. (2009). Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. Neuroimage, 47(4), 1476–1486.

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