Compared to single-site brain network analysis, multi-site methods leverage larger sample sizes to achieve more robust prediction and generalizability, which has garnered increasing attention in brain disease diagnosis. However, these approaches also face heightened heterogeneity across sites (e.g., scanner protocols)...
Lin Zhao, Cheng Ding, Sheng-Rong Li et al.· IEEE Transactions on Medical...· 0 citations
Brain networks characterize structural and functional relationships among brain regions and support research on cognition, brain disorders, and brain-computer interfaces. Their time-varying topology and higher-order spatiotemporal dependencies are not adequately represented by conventional static networks. Existing too...
Xi-Wei Zeng, Sheng-Rong Li, Yi-Heng Liu et al.· 0 citations
A benchmark dataset for detecting images generated by MLLMs is constructed and a structural-artifact-prior-guided dual-stream prompt framework (SAP-DSP) is proposed as a strong baseline, using dual-stream prompt learning and structure-aware routing fusion to improve representation learning.