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Author

Jinchang Ren

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Open access Jul 2026

MDCL-UNet: A Multi-Domain Collaborative Learning Method for Medical Image Segmentation

MDCL-UNet is proposed, a supervised multi-domain collaborative learning framework based on domain feature disentanglement that achieves consistently higher Dice scores and lower HD95 distances than single-dataset baselines and existing cross-dataset collaborative learning methods.

Xu Han, Chaobin Wang, Junni Huang et al. · 0 citations
Open access Aug 2026

Broad graph convolutional network: a novel graph convolutional network paradigm without hidden layer

A novel broad graph convolutional network (BGCN) paradigm is proposed, which completely eliminates hidden layers and instead expands the receptive field through network width, effectively circumventing the inherent limitations of over-smoothing and overfitting in existing deep and high-order GCN models.

Alex Hay-Man Ng, Xun Liu, Fang-Yuan Lei et al. · 0 citations

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