12 citations · 13 across the 5 of their papers we have counts for
5 papers
DBT-Bleed: Dual-Branch Temporal Modeling with Key-Frame Selection for Surgical Bleeding Detection
Sudhanshu Mishra, Jialang Xu, Jensen Ang +3
Intraoperative Adverse Events (IAEs) detection is critical for improving surgical safety, with bleeding being among the most frequent events across many surgery types. Existing met…
CARES: Collaborative Agentic Reasoning for Error Detection in Surgery
Chang Han Low, Zhu Zhuo, Ziyue Wang +11
Robotic-assisted surgery (RAS) introduces complex challenges that current surgical error detection methods struggle to address effectively due to limited training data and methodol…
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery
Jialang Xu, Jiacheng Wang, Lequan Yu +3
Personalized federated learning (PFL) for surgical instrument segmentation (SIS) is a promising approach. It enables multiple clinical sites to collaboratively train a series of mo…
Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical Videos
Zhimin Shao, Jialang Xu, Danail Stoyanov +2
Despite significant advancements in robotic systems and surgical data science, ensuring safe and optimal execution in robot-assisted minimally invasive surgery (RMIS) remains a com…
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle
Junde Wu, Huihui Fang, Hoayi Xiong +5
On the medical images, many of the tissues/lesions may be ambiguous. That is why the medical segmentation is typically annotated by a group of clinical experts to mitigate the pers…