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

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 …

During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …

This paper addresses the problem of reconstructing textured colon surface maps using a
sequence of monocular colonoscopic images together with a 3D colon mesh model that has …

Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in
depth perception and instrument manipulation. While Monocular Visual Simultaneous …

The quality of a 3D model depends on the object digitization process, which is usually
characterized by a tradeoff between volume resolution and scanning speed, ie, higher …

The quality of a 3D model depends on the object digitization process, which is usually
characterized by a tradeoff between volume resolution and scanning speed, ie, higher …

Colonoscopy is the most common procedure for early detection and removal of polyps, a
critical component of colorectal cancer prevention. Insufficient visual coverage of the colon …

This thesis addresses the problem of tracking surgical tissue using camera data in
robotically assisted minimally invasive surgery. Millions of robotically assisted surgeries are …