232 citations · 471 across the 17 of their papers we have counts for
17 papers
Mitigating Biases in Surgical Operating Rooms with Geometry
Tony Danjun Wang, Tobias Czempiel, Nassir Navab +1
Deep neural networks are prone to learning spurious correlations, exploiting dataset-specific artifacts rather than meaningful features for prediction. In surgical operating rooms…
Beyond Role-Based Surgical Domain Modeling: Generalizable Re-Identification in the Operating Room
Tony Danjun Wang, Lennart Bastian, Tobias Czempiel +2
Surgical domain models improve workflow optimization through automated predictions of each staff member's surgical role. However, mounting evidence indicates that team familiarity…
DisguisOR: Holistic Face Anonymization for the Operating Room
Lennart Bastian, Tony Danjun Wang, Tobias Czempiel +2
Purpose: Recent advances in Surgical Data Science (SDS) have contributed to an increase in video recordings from hospital environments. While methods such as surgical workflow reco…
Whether and When does Endoscopy Domain Pretraining Make Sense?
Dominik Batić, Felix Holm, Ege Özsoy +2
Automated endoscopy video analysis is a challenging task in medical computer vision, with the primary objective of assisting surgeons during procedures. The difficulty arises from…
LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
Ege Özsoy, Tobias Czempiel, Felix Holm +2
Modern surgeries are performed in complex and dynamic settings, including ever-changing interactions between medical staff, patients, and equipment. The holistic modeling of the op…
Location-Free Scene Graph Generation
Ege Özsoy, Felix Holm, Mahdi Saleh +4
Scene Graph Generation (SGG) is a visual understanding task, aiming to describe a scene as a graph of entities and their relationships with each other. Existing works rely on locat…