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
MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
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 …
Classifying ASD based on time-series fMRI using spatial–temporal transformer
As the prevalence of autism spectrum disorder (ASD) increases globally, more and more
patients need to receive timely diagnosis and treatment to alleviate their suffering. However …
patients need to receive timely diagnosis and treatment to alleviate their suffering. However …
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 …
Analysis of brain imaging data for the detection of early age autism spectrum disorder using transfer learning approaches for Internet of Things
A Ashraf, Q Zhao, WH 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 …
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
Autism is a multifaceted neurodevelopmental condition whose accurate diagnosis may be
challenging because the associated symptoms and severity vary considerably. The wrong …
challenging because the associated symptoms and severity vary considerably. The wrong …
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 …
Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
Objective. Schizophrenia (SCZ) is a severe mental disorder associated with persistent or
recurrent psychosis, hallucinations, delusions, and thought disorders that affect …
recurrent psychosis, hallucinations, delusions, and thought disorders that affect …
Review of progress in diagnostic studies of autism spectrum disorder using neuroimaging
This review article summarizes the recent advances in the diagnostic studies of autism
spectrum disorders (ASDs) considering some of the most influential research articles from …
spectrum disorders (ASDs) considering some of the most influential research articles from …
Identification and analysis of autism spectrum disorder via large‐scale dynamic functional network connectivity
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder with severe
cognitive impairment. Several studies have reported that brain functional network …
cognitive impairment. Several studies have reported that brain functional network …