Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks-Reference-Cited by-同舟云学术

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Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
Short-container-title:

Author:

Yang Tianren¹,Al-Duailij Mai A.²,Bozdag Serdar³,Saeed Fahad¹

Affiliation:

1. Florida International University (FIU),Knight Foundation School of Computing and Information Sciences,Miami,Florida

2. Princess Nourah Bint Abdul Rahman University,Riyadh,Saudi Arabia

3. University of North Texas,Department of Computer Science and Engineering, Department of Mathematics, BioDiscovery Institute,Denton,Texas

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10021070.pdf?arnumber=10021070

Reference45 articles.

1. Resting state functional magnetic resonance imaging and neural network classified autism and control

2. Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification

3. Expanding boundaries in psychiatry: uncertainty in the context of diagnosis‐seeking and negotiation

4. Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis

5. ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data

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1. DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data;Translational Psychiatry;2024-09-14

2. IFC-GNN: Combining interactions of functional connectivity with multimodal graph neural networks for ASD brain disorder analysis;Alexandria Engineering Journal;2024-07

3. Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example;Brain and Behavior;2024-06

4. A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disorders;Frontiers in Neuroscience;2024-04-15

5. Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic functional Brain Network Generation;IEEE Journal of Biomedical and Health Informatics;2024

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