GCENAN: Dynamic Edge-Conditioned Graph Attention Networks for Brain Age Estimation Leveraging Clinical Semantics
Brain age estimation (BAE) derived from structural T1-weighted MRI has become a widely used biomarker for tracking both healthy aging and the early signs of neurodegenerative diseases, including mild cognitive impairment (MCI) and Alzheimer’s disease. Most existing deep learning models, whether based on convolutional n...