28 citations · 38 across the 5 of their papers we have counts for
5 papers
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Luca Sestini, Benoit Rosa, Elena De Momi +2
Instance segmentation of surgical instruments is a long-standing research problem, crucial for the development of many applications for computer-assisted surgery. This problem is c…
Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153
Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt +10
The field of surgical computer vision has undergone considerable breakthroughs in recent years with the rising popularity of deep neural network-based methods. However, standard fu…
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Luca Sestini, Benoit Rosa, Elena De Momi +2
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-o…
A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images
Luca Sestini, Benoit Rosa, Elena De Momi +2
3-D pose estimation of instruments is a crucial step towards automatic scene understanding in robotic minimally invasive surgery. Although robotic systems can potentially directly…