130 citations · 306 across the 28 of their papers we have counts for
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cs.CV2025
CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
Yiheng Dong, Yi Lin, Xin Yang
The transparency of deep learning models is essential for clinical diagnostics. Concept Bottleneck Model provides clear decision-making processes for diagnosis by transforming the…
cs.CV2025
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning
Haoxuan Che, Haibo Jin, Zhengrui Guo +3
LLMs have demonstrated significant potential in Medical Report Generation (MRG), yet their development requires large amounts of medical image-report pairs, which are commonly scat…
cs.CV2025
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
Yun Zhu, Dong Zhang, Yi Lin +2
Medical image segmentation demands the aggregation of global and local feature representations, posing a challenge for current methodologies in handling both long-range and short-r…