MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. - Yequan Bie; Luyang Luo; Hao Chen 011 (AAAI, 2024)

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization. - Yequan Bie; Luyang Luo; Zhixuan Chen; Hao Chen 011 (MICCAI (12), 2024)

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation. - Zhixuan Chen; Luyang Luo; Yequan Bie; Hao Chen 011 (CoRR, 2024)

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks. - Junlin Hou; Sicen Liu; Yequan Bie; Hongmei Wang; Andong Tan; Luyang Luo; Hao Chen 011 (CoRR, 2024)

Large Language Model with Region-guided Referring and Grounding for CT Report Generation. - Zhixuan Chen; Yequan Bie; Haibo Jin; Hao Chen 011 (CoRR, 2024)

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks. - Peng Xie; Yequan Bie; Jianda Mao; Yangqiu Song; Yang Wang 020; Hao Chen; Kani Chen (CVPR, 2025)

ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training. - Yuxiang Nie; Sunan He; Yequan Bie; Yihui Wang 002; Zhixuan Chen; Shu Yang 004; Hao Chen 011 (CoRR, 2025)

SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset. - Peng Xie; Xingyuan Liu; Tsz Wai Chan; Yequan Bie; Yangqiu Song; Yang Wang 020; Hao Chen; Kani Chen (CoRR, 2025)

Segment Anything in Pathology Images with Natural Language. - Zhixuan Chen; Junlin Hou; Liqi Lin; Yihui Wang 002; Yequan Bie; Xi Wang 013; Yanning Zhou 003; Ronald Cheong Kin Chan; Hao Chen 011 (CoRR, 2025)

Large Language Model With Region-Guided Referring and Grounding for CT Report Generation. - Zhi-Xuan Chen; Yequan Bie; Haibo Jin; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)