This paper presents a review of the state of the art of visualization in mixed reality image
guided surgery (IGS). We used the DVV (data, visualization processing, view) taxonomy to …

Background In addition to its therapeutic benefits, minimally invasive surgery offers the
potential for video recording of the operation. The videos may be archived and used later for …

We propose an analysis of surgical videos that is based on a novel recurrent convolutional
network (SV-RCNet), specifically for automatic workflow recognition from surgical videos …

In recent years, digital endoscopy has established as key technology for medical screenings
and minimally invasive surgery. Since then, various research communities with manifold …

Automatic surgical gesture segmentation and recognition can provide useful feedback for
surgical training in robotic surgery. Most prior work in this field relies on the robot's kinematic …

The need for a better integration of the new generation of computer-assisted-surgical
systems has been recently emphasized. One necessity to achieve this objective is to retrieve …

Context-aware segmentation of laparoscopic and robot assisted surgical video has been
shown to improve performance and perioperative workflow efficiency, and can be used for …

Purpose Large volumes of information in the OR are ignored by surgeons when the amount
outpaces human mental processing abilities. We developed an augmented reality (AR) …

Purpose The rise of intraoperative information threatens to outpace our abilities to process it.
Context-aware systems, filtering information to automatically adapt to the current needs of …

Surgical phase recognition is an important topic of Computer Assisted Surgery (CAS)
systems. In the complicated surgical procedures, there are lots of hard frames that have …