Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning-Reference-Cited by-同舟云学术

Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning

Published:2021-02-01 Issue:2 Volume:28 Page:146-165
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Yin Wutao¹,Mostafa Sakib²,Wu Fang-xiang³

Affiliation:

1. Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada.

2. Department of Computer Science, University of Saskatchewan, Saskatoon, Canada.

3. Division of Biomedical Engineering, Department of Mechanical Engineering, Department of Computer Science, University of Saskatchewan, Saskatoon, Canada.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2020.0252

Reference42 articles.

1. Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

2. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

3. Belkin, M. 2003. Problems of Learning on Manifolds (PhD Thesis). Department of Mathematics, The University of Chicago.

4. AFNI: Software for Analysis and Visualization of Functional Magnetic Resonance Neuroimages

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