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 …
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 …
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
Multicenter and multichannel pooling GCN for early AD diagnosis based on dual-modality fused brain network
For significant memory concern (SMC) and mild cognitive impairment (MCI), their
classification performance is limited by confounding features, diverse imaging protocols, and …
classification performance is limited by confounding features, diverse imaging protocols, and …
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction
Graph convolution networks (GCN) have been successfully applied in disease prediction
tasks as they capture interactions (ie, edges and edge weights on the graph) between …
tasks as they capture interactions (ie, edges and edge weights on the graph) between …
Spatial–temporal co-attention learning for diagnosis of mental disorders from resting-state fMRI data
Neuroimaging techniques have been widely adopted to detect the neurological brain
structures and functions of the nervous system. As an effective noninvasive neuroimaging …
structures and functions of the nervous system. As an effective noninvasive neuroimaging …
[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
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 …
[Retracted] Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques
MS Qureshi, MB Qureshi, J Asghar… - Journal of healthcare …, 2023 - Wiley Online Library
Autism spectrum disorder is a severe, life‐prolonged neurodevelopmental disease typified
by disabilities that are chronic or limited in the development of socio‐communication skills …
by disabilities that are chronic or limited in the development of socio‐communication skills …
Federated multi-task learning for joint diagnosis of multiple mental disorders on MRI scans
Objective: Deep learning (DL) techniques have been introduced to assist doctors in the
interpretation of medical images by detecting image-derived phenotype abnormality. Yet the …
interpretation of medical images by detecting image-derived phenotype abnormality. Yet the …