Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease-Reference-Cited by-同舟云学术

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

Published:2018-08 Issue: Volume:48 Page:117-130
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Parisot Sarah,Ktena Sofia Ira^ORCID,Ferrante Enzo,Lee Matthew,Guerrero Ricardo,Glocker Ben^ORCID,Rueckert Daniel^ORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference51 articles.

1. Deriving reproducible biomarkers from multi-site resting-state data: an autism-based example;Abraham;NeuroImage,2017

2. Anirudh, R., Thiagarajan, J. J., 2017. Bootstrapping graph convolutional neural networks for autism spectrum disorder classification. arXiv preprintarXiv:1704.07487.

3. Single subject prediction of brain disorders in neuroimaging: promises and pitfalls;Arbabshirani;NeuroImage,2017

4. Geometric deep learning: going beyond euclidean data;Bronstein;IEEE Signal Process. Mag.,2017

5. Manifold learning of brain MRIs by deep learning;Brosch,2013

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