Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis-Reference-Cited by-同舟云学术

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis

Published:2019 Issue: Volume: Page:639-646
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Xing Xiaodan,Li Qingfeng,Wei Hao,Zhang Minqing,Zhan Yiqiang,Zhou Xiang Sean,Xue Zhong,Shi Feng

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32251-9_70

Reference8 articles.

1. Defferrard, M., Bresson, X., Vandergheynst, P.: Convolutional neural networks on graphs with fast localized spectral filtering. In: Advances in Neural Information Processing Systems, pp. 3844–3852 (2016)

2. Lecture Notes in Computer Science;NC Dvornek,2017

3. Jack Jr., C.R., et al.: The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods. J. Magn. Reson. Imaging Off. J. Int. Soc. Magn. Reson. Med. 27(4), 685–691 (2008)

4. Katz, M.J., et al.: Age and sex specific prevalence and incidence of mild cognitive impairment, dementia and Alzheimer’s dementia in blacks and whites: a report from the einstein aging study. Alzheimer Dis. Assoc. Disord. 26(4), 335 (2012)

5. Lecture Notes in Computer Science;SI Ktena,2017

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