Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
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 …
symptoms that appear in early childhood. ASD is also associated with communication …
Detection of autism spectrum disorder (ASD) in children and adults using machine learning
Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …
has an impact on the social and cognitive skills of children causing repetitive behaviours …
Investigation of machine learning methods for early prediction of neurodevelopmental disorders in children
Several variables, for instance, inheritance and surroundings, influence the growth of
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
Detection of ASD children through deep-learning application of fMRI
Autism spectrum disorder (ASD) necessitates prompt diagnostic scrutiny to enable
immediate, targeted interventions. This study unveils an advanced convolutional-neural …
immediate, targeted interventions. This study unveils an advanced convolutional-neural …
Do it the transformer way: a comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
AG Alharthi, SM Alzahrani - Computers in Biology and Medicine, 2023 - Elsevier
Autism spectrum disorder (ASD) is a condition observed in children who display abnormal
patterns of interaction, behavior, and communication with others. Despite extensive research …
patterns of interaction, behavior, and communication with others. Despite extensive research …
Can autism Be diagnosed with artificial intelligence? A narrative review
Radiomics with deep learning models have become popular in computer-aided diagnosis
and have outperformed human experts on many clinical tasks. Specifically, radiomic models …
and have outperformed human experts on many clinical tasks. Specifically, radiomic models …
Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network
C Li, T Zhang, J Li - Journal of Neuroscience Methods, 2023 - Elsevier
Background The demand for early and precise identification of autism spectrum disorder
(ASD) presented a challenge to the prediction of ASD with a non-invasive neuroimaging …
(ASD) presented a challenge to the prediction of ASD with a non-invasive neuroimaging …
An improved AlexNet model and cepstral coefficient-based classification of autism using EEG
Autism is a neurodevelopmental disorder that cannot be completely cured, but early
intervention during childhood can improve outcomes. Identifying autism spectrum disorder …
intervention during childhood can improve outcomes. Identifying autism spectrum disorder …
Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
Autism spectrum disorder (ASD) is a complex developmental issue that affects the behavior
and communication abilities of children. It is extremely needed to perceive it at an early age …
and communication abilities of children. It is extremely needed to perceive it at an early age …