Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …

The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised
image segmentation. To apply SAM to surgical instrument segmentation, a common …

Real-time surgical phase recognition is a fundamental task in modern operating rooms.
Previous works tackle this task relying on architectures arranged in spatio-temporal order …

Context-aware decision support in the operating room can foster surgical safety and
efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing …

This paper introduces SKiT, a fast Key information Transformer for phase recognition of
videos. Unlike previous methods that rely on complex models to capture long-term temporal …

Online surgical phase recognition plays a significant role towards building contextual tools
that could quantify performance and oversee the execution of surgical workflows. Current …

Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …

The field of surgical computer vision has undergone considerable breakthroughs in recent
years with the rising popularity of deep neural network-based methods. However, standard …

Surgical instrument segmentation-in general a pixel classification task-is fundamentally
crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However …

Computer-assisted minimally invasive surgery has great potential in benefiting modern
operating theatres. The video data streamed from the endoscope provides rich information …