13 citations · 19 across the 5 of their papers we have counts for
5 papers
Surgical Visual Understanding (SurgVU) Dataset
Aneeq Zia, Max Berniker, Rogerio Nespolo +8
Owing to recent advances in machine learning and the ability to harvest large amounts of data during robotic-assisted surgeries, surgical data science is ripe for foundational work…
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…
Automatic Detection of Out-of-body Frames in Surgical Videos for Privacy Protection Using Self-supervised Learning and Minimal Labels
Ziheng Wang, Conor Perreault, Xi Liu +1
Endoscopic video recordings are widely used in minimally invasive robot-assisted surgery, but when the endoscope is outside the patient's body, it can capture irrelevant segments t…
Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge
Aneeq Zia, Kiran Bhattacharyya, Xi Liu +12
Timely and effective feedback within surgical training plays a critical role in developing the skills required to perform safe and efficient surgery. Feedback from expert surgeons,…
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
Aneeq Zia, Kiran Bhattacharyya, Xi Liu +10
Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications. However, many challenges exist around surgical data (and health data, mo…