2 citations · 5 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Robust Surgical Phase Recognition From Annotation Efficient Supervision
Or Rubin, Shlomi Laufer
Surgical phase recognition is a key task in computer-assisted surgery, aiming to automatically identify and categorize the different phases within a surgical procedure. Despite sub…
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
Shahaf Arica, Or Rubin, Sapir Gershov +1
In this paper, we introduce VoteCut, an innovative method for unsupervised object discovery that leverages feature representations from multiple self-supervised models. VoteCut emp…
Depth Over RGB: Automatic Evaluation of Open Surgery Skills Using Depth Camera
Ido Zuckerman, Nicole Werner, Jonathan Kouchly +4
Purpose: In this paper, we present a novel approach to the automatic evaluation of open surgery skills using depth cameras. This work is intended to show that depth cameras achieve…