1 citations · 1 across the 3 of their papers we have counts for
5 papers
ExpOS: Explainable Open-Surgery Skills Assessment Using 3D Hand Reconstruction
Roi Papo, Idan Smoller, Shlomi Laufer
Timely and transparent feedback is essential for effective surgical training, yet current assessment remains dependent on expert observation, limiting scalability and opportunities…
OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025
Hanna Hoffmann, Setareh Bady, Claas de Boer +54
Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to…
Current validation practice undermines surgical AI development
Annika Reinke, Ziying O. Li, Minu D. Tizabi +97
Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…
Monocular pose estimation of articulated open surgery tools -- in the wild
Robert Spektor, Tom Friedman, Itay Or +2
This work presents a framework for monocular 6D pose estimation of surgical instruments in open surgery, addressing challenges such as object articulations, specularity, occlusions…
RoHan: Robust Hand Detection in Operation Room
Roi Papo, Sapir Gershov, Tom Friedman +3
Hand-specific localization has garnered significant interest within the computer vision community. Although there are numerous datasets with hand annotations from various angles an…