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
BrainNet Studio provides a practical and extensible platform for connectome analysis in cognitive neuroscience, exploratory studies of brain disorders, and brain-computer interfaces by providing a unified workflow encompassing network construction, feature extraction, predictive modeling, candidate biomarker identifica...
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.
