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2020 – today
- 2025
[j1]Zhi-Xuan Chen
, Yequan Bie, Haibo Jin, Hao Chen:
Large Language Model With Region-Guided Referring and Grounding for CT Report Generation. IEEE Trans. Medical Imaging 44(8): 3139-3150 (2025)- [c4]Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen:
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks. CVPR 2025: 14679-14689 - [c3]Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen:
Dia-LLaMA: Towards Large Language Model-Driven CT Report Generation. MICCAI (7) 2025: 141-151 - [i9]Yuxiang Nie, Sunan He, Yequan Bie, Yihui Wang, Zhixuan Chen, Shu Yang, Hao Chen:
ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training. CoRR abs/2501.15579 (2025) - [i8]Peng Xie, Xingyuan Liu, Tsz Wai Chan, Yequan Bie, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen:
SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset. CoRR abs/2506.00087 (2025) - [i7]Zhixuan Chen, Junlin Hou, Liqi Lin, Yihui Wang, Yequan Bie, Xi Wang, Yanning Zhou, Ronald Cheong Kin Chan, Hao Chen:
Segment Anything in Pathology Images with Natural Language. CoRR abs/2506.20988 (2025) - 2024
- [c2]Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. AAAI 2024: 837-845 - [c1]Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen:
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization. MICCAI (12) 2024: 773-783 - [i6]Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. CoRR abs/2401.08527 (2024) - [i5]Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen:
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization. CoRR abs/2403.09410 (2024) - [i4]Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen:
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation. CoRR abs/2403.16386 (2024) - [i3]Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen:
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks. CoRR abs/2410.02331 (2024) - [i2]Zhixuan Chen, Yequan Bie, Haibo Jin, Hao Chen:
Large Language Model with Region-guided Referring and Grounding for CT Report Generation. CoRR abs/2411.15539 (2024) - [i1]Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen:
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks. CoRR abs/2411.15720 (2024)
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