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Author

Xi Wang

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Open access Aug 2026

An explainable biomedical foundation model via large-scale concept-enhanced vision-language pretraining.

Across a large-scale benchmark covering 78 datasets in 10 imaging modalities, ConceptCLIP demonstrates superior diagnostic performance while providing human-understandable explanations, and represents a critical milestone towards the widespread clinical adoption of AI.

Yuxiang Nie, Sunan He, Yequan Bie et al. · 0 citations
Open access Sep 2026

Segment anything in pathology images with natural language

A foundation model that uses natural language descriptions to segment structures across anatomical regions and spatial scales is presented, establishing a unified framework for flexible pathology segmentation with potential utility for clinically interpretable image analysis.

Zhixuan Chen, Jun Hou, Li-Qi Lin et al. · 1 citation
Aug 2026

Bi-objective vital node identification for outbreak detection and source inference in multi-layer networks

MOEA/D-TCM is proposed, a decomposition-based multi-objective evolutionary framework tailored to node-set optimization in multi-layer networks that represents each solution as an observer set and combines a set-structure-adaptive evolutionary strategy with stable-state replacement and neighborhood adjustment to coordin...

Bo Gao, Yuxuan Yang, Xi Wang et al. · 0 citations

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