In recent years, advanced magnetic resonance imaging (MRI) methods including as
functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging …

In recent years, the use of advanced magnetic resonance (MR) imaging methods such as
functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging …

Autism Spectrum Disorders (ASDs) define as a scope of disability in the development of
certain conditions such as social communication, imagination, and patients' capabilities to …

Statistics show that the risk of autism spectrum disorder (ASD) is increasing in the world.
Early diagnosis is most important factor in treatment of ASD. Thus far, the childhood …

Autism spectrum disorder (ASD) is characterized by structural and functional brain changes
that contribute to memory, attention and social interaction. The aim of this research is to …

This paper employs a novel-deep learning method and brain frequencies to discriminate
school-aged children with autism spectrum disorders (ASD) from typically developing (TD) …

Autism spectrum disorder (ASD) is one of the most common neurodevelopment disorders
that severely affect patients in performing their day-to-day activities and social interactions …

The fact that the rapid and definitive diagnosis of autism cannot be made today and that
autism cannot be treated provides an impetus to look into novel technological solutions. To …

The objective of this study is to implement deep neural network (DNN) models to classify
autism spectrum disorder (ASD) patients and typically developing (TD) participants. The …

The World Health Organization (WHO) has reported a continuous rise in the prevalence of
autism worldwide, in which 1 in 160 children in the world has ASD. The problem in ASD …