HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification
HyperAMS-Net is proposed, a deep learning framework for brain disorder classification using neuroimaging representations derived from resting-state functional MRI or structural MRI that integrates adaptive multi-scale convolution, hypergraph attention, spatial-channel attention, and adaptive feature fusion.