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 …
rs-fMRI and machine learning for ASD diagnosis: a systematic review and meta-analysis
Abstract Autism Spectrum Disorder (ASD) diagnosis is still based on behavioral criteria
through a lengthy and time-consuming process. Much effort is being made to identify brain …
through a lengthy and time-consuming process. Much effort is being made to identify brain …
Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019
RAJ De Belen, T Bednarz, A Sowmya… - Translational …, 2020 - nature.com
The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …
research has not been well established. Increasing evidence suggests that computer vision …
A comprehensive analysis towards exploring the promises of AI-related approaches in autism research
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …
challenges in communication, social interaction, repetitive behaviour, and limited interests …
Role of artificial intelligence for autism diagnosis using DTI and fMRI: A survey
Autism spectrum disorder (ASD) is a wide range of diseases characterized by difficulties with
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …
The role of diffusion tensor MR imaging (DTI) of the brain in diagnosing autism spectrum disorder: promising results
Autism spectrum disorder (ASD) is a combination of developmental anomalies that causes
social and behavioral impairments, affecting around 2% of US children. Common symptoms …
social and behavioral impairments, affecting around 2% of US children. Common symptoms …
[HTML][HTML] Structurally constrained effective brain connectivity
The relationship between structure and function is of interest in many research fields
involving the study of complex biological processes. In neuroscience in particular, the fusion …
involving the study of complex biological processes. In neuroscience in particular, the fusion …
Machine learning and rs-fMRI to identify potential brain regions associated with autism severity
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized primarily
by social impairments that manifest in different severity levels. In recent years, many studies …
by social impairments that manifest in different severity levels. In recent years, many studies …
Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children
Atypical visual attention in individuals with autism spectrum disorders (ASD) has been
utilised as a unique diagnosis criterion in previous research. This paper presents a novel …
utilised as a unique diagnosis criterion in previous research. This paper presents a novel …
MultiLink analysis: Brain network comparison via sparse connectivity analysis
The analysis of the brain from a connectivity perspective is revealing novel insights into
brain structure and function. Discovery is, however, hindered by the lack of prior knowledge …
brain structure and function. Discovery is, however, hindered by the lack of prior knowledge …