3 papers
cs.CV2026
Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis
Hairui Chen, Yanwu Yang, Jianfeng Cao +3
Brain networks exhibit a modular community structure that varies across individuals and neurological conditions. However, existing self-supervised learning (SSL) methods often over…
cs.CV2024
Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
Yanwu Yang, Hairui Chen, Jiesi Hu +2
Recent advancements in deep learning have shifted the development of brain imaging analysis. However, several challenges remain, such as heterogeneity, individual variations, and t…
cs.CE2024
BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning
Yanwu Yang, Chenfei Ye, Guinan Su +6
Foundation models pretrained on large-scale datasets via self-supervised learning demonstrate exceptional versatility across various tasks. Due to the heterogeneity and hard-to-col…