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Facial data for autism spectrum disorder detection using machine learning, deep learning, and emerging large language and vision-language models: A systematic review

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Personalized rehabilitation in autism spectrum disorder: artificial intelligence technologies for diagnosis, prediction, and adaptive interventions

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Recognition of autism spectrum disorder based on face processing abnormality

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Machine learning-based early diagnosis of autism according to eye movements of real and artificial faces scanning

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Discriminative Dictionary Learning for Autism Spectrum Disorder Identification

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The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach

Kang, J., Han, X., Hu, J., Feng, H., & Li, X. (2020) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2020.09.039 · Cited by 23

A Machine Learning Approach for Early Detection and Diagnosis of Autism and Normal Controls and Estimating Severity Levels Based on Face Recognition

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