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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 …
Deep learning with image-based autism spectrum disorder analysis: A systematic review
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
Constructing hierarchical attentive functional brain networks for early AD diagnosis
Analyzing functional brain networks (FBN) with deep learning has demonstrated great
potential for brain disorder diagnosis. The conventional construction of FBN is typically …
potential for brain disorder diagnosis. The conventional construction of FBN is typically …
Contrastive multi-view composite graph convolutional networks based on contribution learning for autism spectrum disorder classification
The resting-state functional magnetic resonance imaging (rs-fMRI) faithfully reflects the brain
activities and thus provides a promising tool for autism spectrum disorder (ASD) …
activities and thus provides a promising tool for autism spectrum disorder (ASD) …
A multi-view convolutional neural network method combining attention mechanism for diagnosing autism spectrum disorder
M Wang, Z Ma, Y Wang, J Liu, J Guo - Plos one, 2023 - journals.plos.org
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose current
psychiatric diagnostic process is subjective and behavior-based. In contrast, functional …
psychiatric diagnostic process is subjective and behavior-based. In contrast, functional …
Brain functional activity-based classification of autism spectrum disorder using an attention-based graph neural network combined with gene expression
Autism spectrum disorder (ASD) is a complex brain neurodevelopmental disorder related to
brain activity and genetics. Most of the ASD diagnostic models perform feature selection at …
brain activity and genetics. Most of the ASD diagnostic models perform feature selection at …
[HTML][HTML] Dense attentive GAN-based one-class model for detection of autism and ADHD
We investigate two neuro-developmental disorders in children–Autism Spectrum Disorder
(ASD) and Attention-deficit/hyperactivity disorder (ADHD). Most works in literature have …
(ASD) and Attention-deficit/hyperactivity disorder (ADHD). Most works in literature have …
BrainDAS: structure-aware domain adaptation network for multi-site brain network analysis
In the medical field, datasets are mostly integrated across sites due to difficult data
acquisition and insufficient data at a single site. The domain shift problem caused by the …
acquisition and insufficient data at a single site. The domain shift problem caused by the …
Multi-atlas graph convolutional networks and convolutional recurrent neural networks-based ensemble learning for classification of autism spectrum disorders
Autism spectrum disorder (ASD) has an influence on social conversation and interaction, as
well as encouraging people to engage in repetitive behaviors. The complication begins in …
well as encouraging people to engage in repetitive behaviors. The complication begins in …
Pretraining is all you need: A multi-atlas enhanced transformer framework for autism spectrum disorder classification
Autism spectrum disorder (ASD) is a prevalent psychiatric condition characterized by
atypical cognitive, emotional, and social patterns. Timely and accurate diagnosis is crucial …
atypical cognitive, emotional, and social patterns. Timely and accurate diagnosis is crucial …