12 citations · 21 across the 9 of their papers we have counts for
9 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…
CoRe-DA: Contrastive Regression for Unsupervised Domain Adaptation in Surgical Skill Assessment
Dimitrios Anastasiou, Razvan Caramalau, Jialang Xu +6
Vision-based surgical skill assessment (SSA) enables objective and scalable evaluation of operative performance. Progress in this field is constrained by the high cost and time dem…
SurgFusion-Net: Diversified Adaptive Multimodal Fusion Network for Surgical Skill Assessment
Runlong He, Freweini M. Tesfai, Matthew W. E. Boal +13
Robotic-assisted surgery (RAS) is established in clinical practice, and automated surgical skill assessment utilizing multimodal data offers transformative potential for surgical a…
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…
Temporal Cluster Assignment for Efficient Real-Time Video Segmentation
Ka-Wai Yung, Felix J. S. Bragman, Jialang Xu +3
Vision Transformers have substantially advanced the capabilities of segmentation models across both image and video domains. Among them, the Swin Transformer stands out for its abi…
StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial Dependencies
Xu Wang, Jialang Xu, Shuai Zhang +3
Stereo disparity estimation is crucial for obtaining depth information in robot-assisted minimally invasive surgery (RAMIS). While current deep learning methods have made significa…
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…
SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted Surgery
Jialang Xu, Nazir Sirajudeen, Matthew Boal +3
Automated detection of surgical errors can improve robotic-assisted surgery. Despite promising progress, existing methods still face challenges in capturing rich temporal context t…