Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review

M Khodatars, A Shoeibi, D Sadeghi… - Computers in biology …, 2021 - Elsevier
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

[HTML][HTML] The contribution of machine learning and eye-tracking technology in autism spectrum disorder research: A systematic review

KF Kollias, CK Syriopoulou-Delli, P Sarigiannidis… - Electronics, 2021 - mdpi.com
Early and objective autism spectrum disorder (ASD) assessment, as well as early
intervention are particularly important and may have long term benefits in the lives of ASD …

[HTML][HTML] Applications of unsupervised machine learning in autism spectrum disorder research: a review

CM Parlett-Pelleriti, E Stevens, D Dixon… - Review Journal of Autism …, 2023 - Springer
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy
centers, and mobile applications; however, much of this rich data does not have pre-existing …

Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

[HTML][HTML] Assessment of the autism spectrum disorder based on machine learning and social visual attention: A systematic review

ME Minissi, IA Chicchi Giglioli, F Mantovani… - Journal of Autism and …, 2022 - Springer
The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures
addressed to children and caregivers. Such methods rely on the evaluation of behavioural …

Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques

RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023 - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

A trainable feature extractor module for deep neural networks and scanpath classification

W Fuhl - arXiv preprint arXiv:2403.12493, 2024 - arxiv.org
Scanpath classification is an area in eye tracking research with possible applications in
medicine, manufacturing as well as training systems for students in various domains. In this …

[HTML][HTML] Applying eye tracking with deep learning techniques for early-stage detection of autism spectrum disorders

ZAT Ahmed, E Albalawi, THH Aldhyani, ME Jadhav… - Data, 2023 - mdpi.com
Autism spectrum disorder (ASD) poses a complex challenge to researchers and
practitioners, with its multifaceted etiology and varied manifestations. Timely intervention is …

Machine learning model to predict autism investigating eye-tracking dataset

T Akter, MH Ali, MI Khan, MS Satu… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Autism spectrum disorder is a neurodevelopmental disorder that characterizes by reducing
concentration on social activities and improving interest in non-social tasks. The aim of this …

A review on predicting autism spectrum disorder (asd) meltdown using machine learning algorithms

S Karim, N Akter, MJA Patwary… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability
of a person's social communication. The significance of early diagnosing drew the attention …