Do it the transformer way: a comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
AG Alharthi, SM Alzahrani - Computers in Biology and Medicine, 2023 - Elsevier
Autism spectrum disorder (ASD) is a condition observed in children who display abnormal
patterns of interaction, behavior, and communication with others. Despite extensive research …
patterns of interaction, behavior, and communication with others. Despite extensive research …
Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network
BACKGROUND: Brain variations are responsible for developmental impairments, including
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …
[HTML][HTML] A hybrid graph network model for ASD diagnosis based on resting-state EEG signals
T Tang, C Li, S Zhang, Z Chen, L Yang, Y Mu… - Brain Research …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder and early
diagnosis is crucial for effective treatment. Stable and effective biomarkers are essential for …
diagnosis is crucial for effective treatment. Stable and effective biomarkers are essential for …
[HTML][HTML] Impact of Sliding Window Overlap Ratio on EEG-Based ASD Diagnosis Using Brain Hemisphere Energy and Machine Learning
Featured Application This research serves as a valuable resource for future designers and
developers seeking to integrate and highlight this system's potential as an online decision …
developers seeking to integrate and highlight this system's potential as an online decision …
Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data
Objective: Obsessive-compulsive disorder (OCD) is a highly common psychiatric disorder.
The symptoms of this condition overlap and co-occur with those of other psychiatric …
The symptoms of this condition overlap and co-occur with those of other psychiatric …
Effects of the Flatness Network Parameter Threshold on the Performance of the Rectified Linear Unit Memristor-Like Activation Function in Deep Learning
M Tchepgoua Mbakop, JR Mboupda Pone… - SN Computer …, 2024 - Springer
In this contribution, we improve of the performance of the Rectified Linear Unit Memristor
Like Activation Function with the implication to help training process of CNN without a lot of …
Like Activation Function with the implication to help training process of CNN without a lot of …
CONTINUOUS SCORING OF AUTISM SPECTRUM DISORDER PATIENTS BY ANALYZING THEIR EEG SIGNALS
E Afrooz, M Taghavi, A Ghavasieh… - Biomedical …, 2025 - World Scientific
Clinical manifestations and standard psychological tests have been widely used to diagnose
autism spectrum disorder (ASD) patients and evaluate their severity level. The gold-standard …
autism spectrum disorder (ASD) patients and evaluate their severity level. The gold-standard …
Autism Classification and Identification of Significant Brain Lobe Using Cepstral Coefficients.
S Shanmugam, M Radhakrishnan - Traitement du Signal, 2024 - search.ebscohost.com
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized
by restricted, repetitive behaviors and impaired social interaction. Currently, the identification …
by restricted, repetitive behaviors and impaired social interaction. Currently, the identification …
Enhancing Deep Learning for Autism Spectrum Disorder Detection with Dual-Encoder GAN-based Augmentation of Electroencephalogram Data
K Lalli, M Senbagavalli - Salud, Ciencia y Tecnología-Serie de …, 2024 - dialnet.unirioja.es
Resumen Autism Spectrum Disorder (ASD) is a general neurodevelopmental condition that
requires early and accurate diagnosis. Electroencephalography (EEG) signals are reliable …
requires early and accurate diagnosis. Electroencephalography (EEG) signals are reliable …
AUTISTIC CHILDREN CLASSIFICATION WITH EFFICIENT CHANNEL SELECTION OF EEG SIGNALS BY VISIBILITY GRAPHS
S Akbari, M Rajabioun - Biomedical Engineering: Applications …, 2024 - World Scientific
Autism Spectrum Disorder (ASD) is presented with significant challenges in diagnosis and
intervention due to its multifaceted nature, varied symptomatology, and the high cost and …
intervention due to its multifaceted nature, varied symptomatology, and the high cost and …