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) …

A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

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 …

A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision

N Manakitsa, GS Maraslidis, L Moysis, GF Fragulis - Technologies, 2024 - mdpi.com
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …

Social Robots: A Promising Tool to Support People with Autism. A Systematic Review of Recent Research and Critical Analysis from the Clinical Perspective

R Vagnetti, A Di Nuovo, M Mazza, M Valenti - Review Journal of Autism …, 2024 - Springer
In the past decade, interdisciplinary research has revealed the potential benefits of using
social robots in the care of individuals with autism. There is a growing interest in integrating …

Implementation of Robots in Autism Spectrum Disorder Research: Diagnosis and Emotion Recognition and Expression

KF Kollias, P Sarigiannidis… - … on Modern Circuits …, 2023 - ieeexplore.ieee.org
Early Autism Spectrum Disorder (ASD) diagnosis and intervention with state-of-the-art
instruments, such as Artificial Intelligence and Robots is a rather challenging and promising …

Ota-nn: Observational therapy-assistance neural network for enhancing autism intervention quality

M Wang, N Yang - 2022 IEEE 19th Annual Consumer …, 2022 - ieeexplore.ieee.org
Children with autism spectrum disorder (ASD) often require long-term intervention.
Experienced therapists with better observation on children's feedback and interaction could …

Neural Correlates of Robot Personality Perception: An fNIRS Study

Y Wang, F Liu, X Lei - International Conference on Human-Computer …, 2024 - Springer
Robot personality design has garnered research interest for its crucial role in enhancing the
robot's social capabilities and promoting user experience. This study aims to use machine …

OBTAIN: Observational Therapy-Assistance Neural Network for Training State Recognition

M Wang, N Yang - IEEE Access, 2023 - ieeexplore.ieee.org
Children with autism spectrum disorder (ASD) often require long-term and high-quality
intervention. An important factor affecting the quality of the intervention is therapists' …

Interactive Robot-Aided Diagnosis System for Children with Autism Spectrum Disorder

SY Lin, YP Lai, HC Chiang, Y Cheng… - … Conference on Human …, 2023 - Springer
Autism spectrum disorder (ASD) is a group of complex neurodevelopmental disorders
characterized by difficulties with social communication and interaction as well as restrictive …