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

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

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 …

Three-dimensional reconstruction of images acquired through endoscopes is playing a vital
role in an increasing number of medical applications. Endoscopes used in the clinic are …

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 …

We propose a new approach to 3D reconstruction from sequences of images acquired by
monocular endoscopes. It is based on two key insights. First, endoluminal cavities are …

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

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 …