Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

Estimating a scene reconstruction and the camera motion from in-body videos is challenging
due to several factors, eg the deformation of in-body cavities or the lack of texture. In this …

Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal
for advanced surgical systems. Existing methods either compromise on rendering quality or …

Monocular simultaneous localization and map** (SLAM) algorithms perform robustly
when observing rigid scenes; however, they fail when the observed scene deforms, for …

Traditional control and task automation have been successfully demonstrated in a variety of
structured, controlled environments through the use of highly specialized modeled robotic …

A major research area in Computer Assisted Intervention (CAI) is to aid laparoscopic surgery
teams with Augmented Reality (AR) guidance. This involves registering data from other …

Background Understanding the internal anatomy of the liver remains a major challenge in
anatomical liver resection. Although virtual hepatectomy and indocyanine green (ICG) …

Colonoscopy is tool of choice for preventing Colorectal Cancer, by detecting and removing
polyps before they become cancerous. However, colonoscopy is hampered by the fact that …

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