most citedSurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence

2 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation

Guanyi Qin, Ziyue Wang, Daiyun Shen +5

Given an object mask, Semi-supervised Video Object Segmentation (SVOS) technique aims to track and segment the object across video frames, serving as a fundamental task in computer…

cs.CV20252 cited

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence

Zhitao Zeng, Zhu Zhuo, Xiaojun Jia +12

Foundation models have achieved transformative success across biomedical domains by enabling holistic understanding of multimodal data. However, their application in surgery remain…

cs.CV2025

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

Haofeng Liu, Mingqi Gao, Xuxiao Luo +4

Surgical scene segmentation is critical in computer-assisted surgery and is vital for enhancing surgical quality and patient outcomes. Recently, referring surgical segmentation is…

cs.AI2025

MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow

Ziyue Wang, Junde Wu, Linghan Cai +4

In modern medicine, clinical diagnosis relies on the comprehensive analysis of primarily textual and visual data, drawing on medical expertise to ensure systematic and rigorous rea…

cs.AI2025

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools

Junde Wu, Jiayuan Zhu, Yuyuan Liu +2

We introduce Agentic Reasoning, a framework that enhances large language model (LLM) reasoning by integrating external tool-using agents. Agentic Reasoning dynamically leverages we…

eess.IV20241 cited

HCL-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis

Shi Yin, Hongqi Tan, Li Ming Chong +6

Background: Cone-beam computed tomography (CBCT) plays a crucial role in image-guided radiotherapy, but artifacts and noise make them unsuitable for accurate dose calculation. Arti…