6 citations · 7 across the 10 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
CoSimGen: Controllable Diffusion Model for Simultaneous Image and Mask Generation
Rupak Bose, Chinedu Innocent Nwoye, Aditya Bhat +1
The acquisition of annotated datasets with paired images and segmentation masks is a critical challenge in domains such as medical imaging, remote sensing, and computer vision. Man…