Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Machine learning methods for diagnosing autism spectrum disorder and attention-deficit/hyperactivity disorder using functional and structural MRI: a survey

T Eslami, F Almuqhim, JS Raiker… - Frontiers in …, 2021 - frontiersin.org
Here we summarize recent progress in machine learning model for diagnosis of Autism
Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline …

[HTML][HTML] Increased hippocampal shape asymmetry and volumetric ventricular asymmetry in autism spectrum disorder

R Richards, E Greimel, D Kliemann, IK Koerte… - NeuroImage: Clinical, 2020 - Elsevier
Autism spectrum disorder (ASD) is a prevalent and fast-growing pervasive
neurodevelopmental disorder worldwide. Despite the increasing prevalence of ASD and the …

A personalized autism diagnosis CAD system using a fusion of structural MRI and resting-state functional MRI data

O Dekhil, M Ali, Y El-Nakieb, A Shalaby… - Frontiers in …, 2019 - frontiersin.org
Autism spectrum disorder is a neuro-developmental disorder that affects the social abilities
of the patients. Yet, the gold standard of autism diagnosis is the autism diagnostic …

Using resting state functional mri to build a personalized autism diagnosis system

O Dekhil, H Hajjdiab, A Shalaby, MT Ali, B Ayinde… - PloS one, 2018 - journals.plos.org
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with social
impairments, communication difficulties, and restricted and repetitive behaviors. Yet, there is …

[HTML][HTML] A comprehensive framework for differentiating autism spectrum disorder from neurotypicals by fusing structural MRI and resting state functional MRI

O Dekhil, M Ali, R Haweel, Y Elnakib, M Ghazal… - Seminars in pediatric …, 2020 - Elsevier
Autism spectrum disorder is a neurodevelopmental disorder characterized by impaired
social abilities and communication difficulties. The golden standard for autism diagnosis in …

Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet

MK Elakkiya - Expert Systems with Applications, 2024 - Elsevier
Abstract Deep Learning (DL) particularly CNN has the potential to outplay conventional
Machine Learning (ML) procedures in the realm of computer vision. With the advent of DL …

Understanding the role of connectivity dynamics of resting-state functional MRI in the diagnosis of autism spectrum disorder: A comprehensive study

Y ElNakieb, MT Ali, A Elnakib, A Shalaby, A Mahmoud… - Bioengineering, 2023 - mdpi.com
In addition to the standard observational assessment for autism spectrum disorder (ASD),
recent advancements in neuroimaging and machine learning (ML) suggest a rapid and …

A machine learning approach for grading autism severity levels using task-based functional MRI

R Haweel, O Dekhil, A Shalaby… - … on Imaging Systems …, 2019 - ieeexplore.ieee.org
Autism is a developmental disorder associated with difficulties in communication and social
interaction. Autism diagnostic observation schedule (ADOS) is considered the gold standard …

Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns

O Dekhil, A Shalaby, A Soliman, A Mahmoud… - Medical Image …, 2021 - Elsevier
Altered functional connectivity patterns play an important role in explaining autism spectrum
disorder related impairments. In order to examine such connectivity, resting state functional …