Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework-Reference-Cited by-同舟云学术

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework

Published:2016-04-01 Issue:8 Volume:9 Page:888-898
ISSN:1939-3792
Container-title:Autism Research
language:en
Short-container-title:Autism Research

Author:

Liu Wenbo¹²,Li Ming³,Yi Li⁴

Affiliation:

1. From the Sun Yat-sen University Carnegie Mellon University Joint Institute of Engineering, Sun Yat-sen University, Guangzhou Higher Education Mega Center; Guangzhou China

2. Department of ECE; Carnegie Mellon University; Pittsburgh PA USA

3. Sun Yat-sen University Carnegie Mellon University Shunde International Joint Research Institute; Shunde Guangdong China

4. Department of Psychology and Beijing Key Laboratory of Behavior and Mental Health; Peking University; Beijing China

Funder

National Natural Science Foundation of China

Science and Technology Foundation of Guizhou Province

Fundamental Research Funds for the Central Universities

Guangdong Shunde SYSU-CMU Joint Research Institute

CMU-SYSU Collaborative Innovation Research Center

Publisher

Wiley

Subject

Genetics (clinical),Neurology (clinical),General Neuroscience

Reference34 articles.

1. Neuroanatomy of autism;Amaral;Trends in Neurosciences,2008

2. Diagnostic and Statistical Manual of Mental Disorders

3. The Autism Spectrum Quotient: Children's Version (AQ-Child);Auyeung;Journal of Autism and Developmental Disorders,2008

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