1 citations · 1 across the 7 of their papers we have counts for
9 papers
Vision KAN: Towards an Attention-Free Backbone for Vision with Kolmogorov-Arnold Networks
Zhuoqin Yang, Jiansong Zhang, Xiaoling Luo +3
Attention mechanisms have become a key module in modern vision backbones due to their ability to model long-range dependencies. However, their quadratic complexity in sequence leng…
MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcement
Meidan Ding, Jipeng Zhang, Wenxuan Wang +4
Medical Vision-Language Models (MedVLMs) excel at perception tasks but struggle with complex clinical reasoning required in real-world scenarios. While reinforcement learning (RL)…
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models
Shaonan Liu, Guo Yu, Xiaoling Luo +4
Medical Multimodal Large Language Models (Med-MLLMs) require egocentric clinical intent understanding for real-world deployment, yet existing benchmarks fail to evaluate this criti…
Text Condition Embedded Regression Network for Automated Dental Abutment Design
Mianjie Zheng, Xinquan Yang, Xuguang Li +5
The abutment is an important part of artificial dental implants, whose design process is time-consuming and labor-intensive. Long-term use of inappropriate dental implant abutments…
SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction
Guolin Huang, Wenting Chen, Jiaqi Yang +5
Survival analysis is critical for cancer prognosis and treatment planning, yet existing methods lack the transparency essential for clinical adoption. While recent pathology agents…
A Survey of Multimodal Ophthalmic Diagnostics: From Task-Specific Approaches to Foundational Models
Xiaoling Luo, Ruli Zheng, Qiaojian Zheng +6
Visual impairment represents a major global health challenge, with multimodal imaging providing complementary information that is essential for accurate ophthalmic diagnosis. This…