12 citations · 34 across the 14 of their papers we have counts for
14 papers
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data
An Wang, Haochen Yin, Beilei Cui +2
Accurate depth perception is crucial for patient outcomes in endoscopic surgery, yet it is compromised by image distortions common in surgical settings. To tackle this issue, our s…
SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation
Jieming Yu, An Wang, Wenzhen Dong +5
The recent Segment Anything Model (SAM) 2 has demonstrated remarkable foundational competence in semantic segmentation, with its memory mechanism and mask decoder further addressin…
A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery
Mengya Xu, Ziqi Guo, An Wang +2
As a crucial and intricate task in robotic minimally invasive surgery, reconstructing surgical scenes using stereo or monocular endoscopic video holds immense potential for clinica…
An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary
Guodong Sun, Yuting Peng, Le Cheng +5
The precise segmentation of ore images is critical to the successful execution of the beneficiation process. Due to the homogeneous appearance of the ores, which leads to low contr…
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery
Mengya Xu, Mobarakol Islam, Long Bai +1
Deep Neural Networks (DNNs) based semantic segmentation of the robotic instruments and tissues can enhance the precision of surgical activities in robot-assisted surgery. However,…
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…