A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disorders
N Huynh, G Deshpande - Frontiers in Neuroscience, 2024 - frontiersin.org
Structural and functional MRI (magnetic resonance imaging) based diagnostic classification
using machine learning has long held promise, but there are many roadblocks to achieving …
using machine learning has long held promise, but there are many roadblocks to achieving …
Graph-based conditional generative adversarial networks for major depressive disorder diagnosis with synthetic functional brain network generation
Major Depressive Disorder (MDD) is a pervasive disorder affecting millions of individuals,
presenting a significant global health concern. Functional connectivity (FC) derived from …
presenting a significant global health concern. Functional connectivity (FC) derived from …
Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review
Graph neural networks (GNN) have emerged as a popular tool for modelling functional
magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant …
magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant …
Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example
Background Deep‐learning (DL) methods are rapidly changing the way researchers classify
neurological disorders. For example, combining functional magnetic resonance imaging …
neurological disorders. For example, combining functional magnetic resonance imaging …
[HTML][HTML] IFC-GNN: Combining interactions of functional connectivity with multimodal graph neural networks for ASD brain disorder analysis
X Wang, X Zhang, Y Chen, X Yang - Alexandria Engineering Journal, 2024 - Elsevier
Many studies now indicate that brain disorders are associated with functional connectivity
between brain regions, but the impact of interactions among functional connections on …
between brain regions, but the impact of interactions among functional connections on …
ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field
F Almuqhim, F Saeed - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a heterogeneous disorder in children, and the current
clinical diagnosis is accomplished using behavioral, cognitive, developmental, and …
clinical diagnosis is accomplished using behavioral, cognitive, developmental, and …
Predicting ALzheimer's Disease with AI and Brain Imaging Data
CC Peng, GW Lin, JM Lin, GT Chen, WC Liu - … International Conference on …, 2023 - Springer
According to the latest estimates, one in three elderly people will suffer from dementia in
2050, with the majority of cases being Alzheimer's disease. This study proposes a novel …
2050, with the majority of cases being Alzheimer's disease. This study proposes a novel …
[引用][C] DEEP LEARNING (DL) BASED IMPROVED PROBABILISTIC DENSE MODEL (IPD) FOR AUTISM SPECTRUM DISORDERS (ASD) CLASSIFICATION …
S Sandeep, A Singh, A Khamparia - Journal of Data Acquisition and Processing, 2023