1 citations · 3 across the 27 of their papers we have counts for
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Perceive and Calibrate: Analyzing and Enhancing Robustness of Medical Multi-Modal Large Language Models
Dunyuan XU, Xikai Yang, Yaoqian Li +3
Medical Multi-modal Large Language Models (MLLMs) have shown promising clinical performance. However, their sensitivity to real-world input perturbations, such as imaging artifacts…
MEJO: MLLM-Engaged Surgical Triplet Recognition via Inter- and Intra-Task Joint Optimization
Yiyi Zhang, Yuchen Yuan, Ying Zheng +4
Surgical triplet recognition, which involves identifying instrument, verb, target, and their combinations, is a complex surgical scene understanding challenge plagued by long-taile…
From Learning to Unlearning: Biomedical Security Protection in Multimodal Large Language Models
Dunyuan Xu, Xikai Yang, Yaoqian Li +2
The security of biomedical Multimodal Large Language Models (MLLMs) has attracted increasing attention. However, training samples easily contain private information and incorrect k…
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
Chengkun Li, Yuqi Tong, Kai Chen +6
The visualization of volumetric medical data is crucial for enhancing diagnostic accuracy and improving surgical planning and education. Cinematic rendering techniques significantl…
Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
Ruize Cui, Jiaan Zhang, Jialun Pei +3
Liver landmarks provide crucial anatomical guidance to the surgeon during laparoscopic liver surgery to minimize surgical risk. However, the tubular structural properties of landma…
Medical Large Vision Language Models with Multi-Image Visual Ability
Xikai Yang, Juzheng Miao, Yuchen Yuan +4
Medical large vision-language models (LVLMs) have demonstrated promising performance across various single-image question answering (QA) benchmarks, yet their capability in process…