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 …

Surgical tool segmentation and action recognition are fundamental building blocks in many
computer-assisted intervention applications, ranging from surgical skills assessment to …

Automatic surgical workflow analysis, which aims to recognize the ongoing surgical events
in videos, is fundamental for developing context-aware computer-assisted systems. This …

Purpose Automatic surgical workflow recognition enabled by computer vision algorithms
plays a key role in enhancing the learning experience of surgeons. It also supports building …

Automatically recording surgical procedures and generating surgical reports are crucial for
alleviating surgeons' workload and enabling them to concentrate more on the operations …

Surgical phase recognition is a basic component for different context-aware applications in
computer-and robot-assisted surgery. In recent years, several methods for automatic …

Batch Normalization's (BN) unique property of depending on other samples in a batch is
known to cause problems in several tasks, including sequential modeling. Yet, BN-related …

Automated surgical video analysis promises improved healthcare. We propose novel spatial
context aware combined loss function for end-to-end Encoder-Decoder training for Surgical …

Temporally locating and classifying instruments in surgical video is useful for the analysis
and comparison of surgical techniques. This paper aims to apply action segmentation …

Surgical workflow anticipation is the task of predicting the timing of relevant surgical events
from live video data, which is critical in RAS. Accurate predictions require the use of spatial …