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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 …
[HTML][HTML] A review of machine learning methods of feature selection and classification for autism spectrum disorder
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Association, is a neurodevelopmental disorder that includes deficits of social communication …
A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism
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 …
children. Like many neurological disorder phenotypes, the diagnostic features are …
Ayres theories of autism and sensory integration revisited: What contemporary neuroscience has to say
Abnormal sensory-based behaviors are a defining feature of autism spectrum disorders
(ASD). Dr. A. Jean Ayres was the first occupational therapist to conceptualize Sensory …
(ASD). Dr. A. Jean Ayres was the first occupational therapist to conceptualize Sensory …
Functional connectivity-based prediction of autism on site harmonized ABIDE dataset
Objective: The larger sample sizes available from multi-site publicly available neuroimaging
data repositories makes machine-learning based diagnostic classification of mental …
data repositories makes machine-learning based diagnostic classification of mental …
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …
A myelin-related transcriptomic profile is shared by Pitt–Hopkins syndrome models and human autism spectrum disorder
Autism spectrum disorder (ASD) is genetically heterogeneous with convergent
symptomatology, suggesting common dysregulated pathways. In this study, we analyzed …
symptomatology, suggesting common dysregulated pathways. In this study, we analyzed …
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images
Autism spectrum disorder (ASD) is a lifelong neurological condition that affects how a
person interacts and learns. The early and accurate diagnosis of ASD is vital to develo** a …
person interacts and learns. The early and accurate diagnosis of ASD is vital to develo** a …
Sex/gender differences in children with autism spectrum disorder: A brief overview on epidemiology, symptom profile, and neuroanatomy
S Calderoni - Journal of Neuroscience Research, 2023 - Wiley Online Library
Autism spectrum disorders (ASD) are a heterogeneous group of neurodevelopmental
conditions whose shared core features are impairments in social interaction and …
conditions whose shared core features are impairments in social interaction and …