A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism
P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
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 …
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 …
Vision-assisted recognition of stereotype behaviors for early diagnosis of autism spectrum disorders
Medical diagnosis supported by computer-assisted technologies is getting more popularity
and acceptance among medical society. In this paper, we propose a non-intrusive vision …
and acceptance among medical society. In this paper, we propose a non-intrusive vision …
Automatic detection of ADHD and ASD from expressive behaviour in RGBD data
S Jaiswal, MF Valstar, A Gillott… - 2017 12th IEEE …, 2017 - ieeexplore.ieee.org
Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are
neurodevelopmental conditions which impact on a significant number of children and adults …
neurodevelopmental conditions which impact on a significant number of children and adults …
Truth from the machine: artificial intelligence and the materialization of identity
Critics now articulate their worries about the technologies, social practices and mythologies
that comprise Artificial Intelligence (AI) in many domains. In this paper, we investigate the …
that comprise Artificial Intelligence (AI) in many domains. In this paper, we investigate the …
Towards the automatic detection of social biomarkers in autism spectrum disorder: Introducing the simulated interaction task (SIT)
Social interaction deficits are evident in many psychiatric conditions and specifically in
autism spectrum disorder (ASD), but hard to assess objectively. We present a digital tool to …
autism spectrum disorder (ASD), but hard to assess objectively. We present a digital tool to …
Autism spectrum self-stimulatory behaviors classification using explainable temporal coherency deep features and svm classifier
Autism spectrum disorder is a very common disorder. An early diagnosis of autism is
essential for the prognosis of this disorder. The common diagnosis method utilizes …
essential for the prognosis of this disorder. The common diagnosis method utilizes …
Self-stimulatory behaviours in the wild for autism diagnosis
Abstract Autism Spectrum Disorders (ASD), often referred to as autism, are neurological
disorders characterised by deficits in cognitive skills, social and communicative behaviours …
disorders characterised by deficits in cognitive skills, social and communicative behaviours …
Video-based behavior understanding of children for objective diagnosis of autism
One of the major diagnostic criteria for Autism Spectrum Disorder (ASD) is the recognition of
stereotyped behaviors. However, it primarily relies on parental interviews and clinical …
stereotyped behaviors. However, it primarily relies on parental interviews and clinical …
Computational analysis of deep visual data for quantifying facial expression production
The computational analysis of facial expressions is an emerging research topic that could
overcome the limitations of human perception and get quick and objective outcomes in the …
overcome the limitations of human perception and get quick and objective outcomes in the …