[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder
Autism-spectrum disorders (ASDs) are developmental disabilities that manifest in early
childhood and are characterized by qualitative abnormalities in social behaviors …
childhood and are characterized by qualitative abnormalities in social behaviors …
Analysis of brain imaging data for the detection of early age autism spectrum disorder using transfer learning approaches for internet of things
A Ashraf, Z Qingjie, WHK Bangyal… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, advanced magnetic resonance imaging (MRI) methods including as
functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging …
functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging …
Discriminative few shot learning of facial dynamics in interview videos for autism trait classification
Autism is a prevalent neurodevelopmental disorder characterized by impairments in social
and communicative behaviors. Possible connections between autism and facial expression …
and communicative behaviors. Possible connections between autism and facial expression …
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 visual attention features accurately discerning between autism and typically developing: a deep learning framework
J Xie, L Wang, P Webster, Y Yao, J Sun… - Interdisciplinary …, 2022 - Springer
Atypical visual attention is a hallmark of autism spectrum disorder (ASD). Identifying the
attention features accurately discerning between people with ASD and typically developing …
attention features accurately discerning between people with ASD and typically developing …
Video-based contrastive learning on decision trees: From action recognition to autism diagnosis
How can we teach a computer to recognize 10,000 different actions? Deep learning has
evolved from supervised and unsupervised to self-supervised approaches. In this paper, we …
evolved from supervised and unsupervised to self-supervised approaches. In this paper, we …
A Review on Autism Spectrum Disorder Screening by Artificial Intelligence Methods
SJ Jia, JQ Jing, CJ Yang - Journal of Autism and Developmental Disorders, 2024 - Springer
Purpose With the increasing prevalence of autism spectrum disorders (ASD), the importance
of early screening and diagnosis has been subject to considerable discussion. Given the …
of early screening and diagnosis has been subject to considerable discussion. Given the …
[HTML][HTML] Automatic assessment of motor impairments in Autism Spectrum Disorders: a systematic review
Autism spectrum disorder (ASD) is mainly described as a disorder of communication and
socialization. However, motor abnormalities are also common in ASD. New technologies …
socialization. However, motor abnormalities are also common in ASD. New technologies …
Early-stage autism diagnosis using action videos and contrastive feature learning
Autism, also known as Autism Spectrum Disorder (or ASD), is a neurological disorder. Its
main symptoms include difficulty in verbal/non-verbal communication and rigid/repetitive …
main symptoms include difficulty in verbal/non-verbal communication and rigid/repetitive …