56 citations · 56 across the 4 of their papers we have counts for
5 papers
Brain-WM: Brain Glioblastoma World Model
Chenhui Wang, Boyun Zheng, Liuxin Bao +4
Precise prognostic modeling of glioblastoma (GBM) under varying treatment interventions is essential for optimizing clinical outcomes. While generative AI has shown promise in simu…
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
Shengyuan Liu, Liuxin Bao, Qi Yang +6
Medical image segmentation is evolving from task-specific models toward generalizable frameworks. Recent research leverages Multi-modal Large Language Models (MLLMs) as autonomous…
Expertise-aware Multi-LLM Recruitment and Collaboration for Medical Decision-Making
Liuxin Bao, Zhihao Peng, Xiaofei Zhou +3
Medical Decision-Making (MDM) is a complex process requiring substantial domain-specific expertise to effectively synthesize heterogeneous and complicated clinical information. Whi…
MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making
Zhihao Peng, Liuxin Bao, Yixuan Yuan
Large language models (LLMs) have proven effective in artificial intelligence, where the multi-agent system (MAS) holds considerable promise for healthcare development by achieving…
Quality-aware Selective Fusion Network for V-D-T Salient Object Detection
Liuxin Bao, Xiaofei Zhou, Xiankai Lu +5
Depth images and thermal images contain the spatial geometry information and surface temperature information, which can act as complementary information for the RGB modality. Howev…