6 citations · 7 across the 5 of their papers we have counts for
11 papers · 1 filter
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…
SUREON: A Benchmark and Vision-Language-Model for Surgical Reasoning
Alejandra Perez, Anita Rau, Lee White +4
Surgeons don't just see -- they interpret. When an expert observes a surgical scene, they understand not only what instrument is being used, but why it was chosen, what risk it pos…
SurgLaVi: Large-Scale Hierarchical Dataset for Surgical Vision-Language Representation Learning
Alejandra Perez, Chinedu Nwoye, Ramtin Raji Kermani +2
Vision-language pre-training (VLP) offers unique advantages for surgery by aligning language with surgical videos, enabling workflow understanding and transfer across tasks without…
On the Role of Depth in Surgical Vision Foundation Models: An Empirical Study of RGB-D Pre-training
John J. Han, Adam Schmidt, Muhammad Abdullah Jamal +4
Vision foundation models (VFMs) have emerged as powerful tools for surgical scene understanding. However, current approaches predominantly rely on unimodal RGB pre-training, overlo…
State-Change Learning for Prediction of Future Events in Endoscopic Videos
Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter +1
Surgical future prediction, driven by real-time AI analysis of surgical video, is critical for operating room safety and efficiency. It provides actionable insights into upcoming e…
Feature Mixing Approach for Detecting Intraoperative Adverse Events in Laparoscopic Roux-en-Y Gastric Bypass Surgery
Rupak Bose, Chinedu Innocent Nwoye, Jorge Lazo +2
Intraoperative adverse events (IAEs), such as bleeding or thermal injury, can lead to severe postoperative complications if undetected. However, their rarity results in highly imba…