Sharing medical image sets is essential yet challenging due to limited resource and strict regulatory, which significantly hinder the development of medical foundation models and the transfer of medical domain knowledge. In this paper, we utilize medical image dataset distillation techniques to enable effective model c...
Zhennaan Yu, Yin-Song Xu, Jia-Yi Xie et al.· IEEE Transactions on Pattern...· 0 citations
BrainFedFM, a structural brain MRI foundation model federatively pretrained on 164,707 three-dimensional scans drawn from diverse real-world data distributions and organized across 42 federated sites, demonstrates the generalizability of BrainFedFM and highlights federated pretraining as a practical strategy for develo...
Zhennaan Yu, Yang Liu, Xia-Hai Zhuang et al.· 0 citations
Feature-robust Augmentation is introduced, which comprises diversified degradation-aware augmentation strategies, and a supervised contrastive learning pattern paired with a mean-teacher architecture that stabilizes features against augmentations through consistency constraints that wins the first place in ACM Multimed...
Zhu Xu, Jia-Qi Tang, Po-Kai Chen et al.· 0 citations
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