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) …
Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …
diagnostic period encountered in the early years of life. If diagnosed early, the negative …
[HTML][HTML] 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] 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 …
[HTML][HTML] A survey on deep learning for neuroimaging-based brain disorder analysis
Deep learning has recently been used for the analysis of neuroimages, such as structural
magnetic resonance imaging (MRI), functional MRI, and positron emission tomography …
magnetic resonance imaging (MRI), functional MRI, and positron emission tomography …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
Deep learning for brain disorder diagnosis based on fMRI images
In modern neuroscience and clinical study, neuroscientists and clinicians often use non-
invasive imaging techniques to validate theories and computational models, observe brain …
invasive imaging techniques to validate theories and computational models, observe brain …
[HTML][HTML] Autism spectrum disorder studies using fMRI data and machine learning: a review
M Liu, B Li, D Hu - Frontiers in Neuroscience, 2021 - frontiersin.org
Machine learning methods have been frequently applied in the field of cognitive
neuroscience in the last decade. A great deal of attention has been attracted to introduce …
neuroscience in the last decade. A great deal of attention has been attracted to introduce …
[HTML][HTML] 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 …
Investigation of machine learning methods for early prediction of neurodevelopmental disorders in children
Several variables, for instance, inheritance and surroundings, influence the growth of
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …