Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis
Neuroimaging analysis aims to reveal the information-processing mechanisms of the human
brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown …
brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown …
MHNet: Multi-view High-Order Network for Diagnosing Neurodevelopmental Disorders Using Resting-State fMRI
Y Li, W Zeng, W Dong, L Cai, L Wang, H Chen… - Journal of Imaging …, 2025 - Springer
Deep learning models have shown promise in diagnosing neurodevelopmental disorders
(NDD) like ASD and ADHD. However, many models either use graph neural networks …
(NDD) like ASD and ADHD. However, many models either use graph neural networks …