One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

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

Recent advances in surgical robotics have provided a platform for extending the current
capabilities of minimally invasive surgery by incorporating both preoperative and …

This paper describes the first accomplishment of the Time-of-Flight (ToF) measurement
principle via endoscope optics. The applicability of the approach is verified by in-vitro …

Minimally invasive surgery has been established as an important way forward in surgery for
reducing patient trauma and hospitalization with improved prognosis. The introduction of …

The ability to find image similarities between two distinct endoscopic views is known as
feature matching, and is essential in many robotic-assisted minimally-invasive surgery (MIS) …

Surgical data science is devoted to enhancing the quality, safety, and efficacy of
interventional healthcare. While the use of powerful machine learning algorithms is …

Background Accurate real-time 3D models of the operating field have the potential to enable
augmented reality for endoscopic surgery. A new system is proposed to create real-time 3D …

The ability to find similar features between two distinct views of the same scene (feature
matching) is essential in robotics and computer vision. We are here interested in the robotic …