Purpose: Recent advances in Surgical Data Science (SDS) have contributed...
Automated endoscopy video analysis is a challenging task in medical comp...
Modern surgeries are performed in complex and dynamic settings, includin...
Scene Graph Generation (SGG) is a challenging visual understanding task....
Formalizing surgical activities as triplets of the used instruments, act...
Context-aware decision support in the operating room can foster surgical...
Chest radiograph reporting is time-consuming, and numerous solutions to
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Surgical procedures are conducted in highly complex operating rooms (OR)...
Quantifying COVID-19 infection over time is an important task to manage ...
Algorithmic surgical workflow recognition is an ongoing research field a...
The surgical operating room (OR) presents many opportunities for automat...
During the first wave of COVID-19, hospitals were overwhelmed with the h...
Chest computed tomography (CT) has played an essential diagnostic role i...
In this paper we introduce OperA, a transformer-based model that accurat...