Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …
Can autism Be diagnosed with artificial intelligence? A narrative review
Radiomics with deep learning models have become popular in computer-aided diagnosis
and have outperformed human experts on many clinical tasks. Specifically, radiomic models …
and have outperformed human experts on many clinical tasks. Specifically, radiomic models …
[HTML][HTML] Dense attentive GAN-based one-class model for detection of autism and ADHD
D Kuttala, D Mahapatra, R Subramanian… - Journal of King Saud …, 2022 - Elsevier
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 …
A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework
Abstract Autism Spectrum Disorder (ASD) is characterized as a neurodevelopmental
disorder with a heterogeneous nature, influenced by genetics and exhibiting diverse clinical …
disorder with a heterogeneous nature, influenced by genetics and exhibiting diverse clinical …
Outlier-based autism detection using longitudinal structural MRI
Diagnosis of Autism Spectrum Disorder (ASD) using clinical evaluation (cognitive tests) is
challenging due to wide variations amongst individuals. Since no effective treatment exists …
challenging due to wide variations amongst individuals. Since no effective treatment exists …
Comprehensive exploration of multi-modal and multi-branch imaging markers for autism diagnosis and interpretation: insights from an advanced deep learning model
Autism spectrum disorder is a complex neurodevelopmental condition with diverse genetic
and brain involvement. Despite magnetic resonance imaging advances, autism spectrum …
and brain involvement. Despite magnetic resonance imaging advances, autism spectrum …
Cortical Network Transformer for Classification of Structural Connectivity in Cerebral Cortex
Y Zhu, Y Zhang, Y Li, H Ye, Y Kong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Analyzing the structural connectivity of the cerebral cortex is of great help to the diagnosis
and tracking of mental illnesses such as major depression disorder (MDD), and it can also …
and tracking of mental illnesses such as major depression disorder (MDD), and it can also …
Comparative evaluation of geometrical, Zernike moments, and volumetric features of the corpus callosum for discrimination of ASD using machine learning algorithms
A Bhattacharya, G Manoj, V Gupta… - International …, 2023 - inderscienceonline.com
In this study, we compared the performance of geometrical, Zernike moments, and
volumetric features of the corpus callosum (CC) to diagnose autism spectrum disorder …
volumetric features of the corpus callosum (CC) to diagnose autism spectrum disorder …
Efficient Diagnosis of Autism Spectrum Disorder Using Optimized Machine Learning Models Based on Structural MRI
Autism spectrum disorder (ASD) affects approximately 1.4% of the population and imposes
significant social and economic burdens. Because its etiology is unknown, effective …
significant social and economic burdens. Because its etiology is unknown, effective …
Understanding Autism Using Machine Learning: A Structural MRI Study
In this study, we propose a Computer-Aided Diagnostic (CAD) system to diagnose and
understand autism spectrum disorder (ASD) using structural MRI (sMRI). Starting with …
understand autism spectrum disorder (ASD) using structural MRI (sMRI). Starting with …