Three-dimensional dense reconstruction involves extracting the full shape and texture
details of three-dimensional objects from two-dimensional images. Although 3D …

This invited Review discusses causal learning in the context of robotic intelligence. The
Review introduces the psychological findings on causal learning in human cognition, as well …

In ureteroscopy a flexible ureteroscope is used to inspect the kidneys and the ureters. In this
context, we investigate robotic solutions that leverage recent developments from …

Data augmentation methods enrich datasets with augmented data to improve the
performance of neural networks. Recently, automated data augmentation methods have …

Introduction The methods employed to document cystoscopic findings in bladder cancer
patients lack accuracy and are subject to observer variability. We propose a novel …

Purpose: The aim of this survey was to obtain an overview of current European standards in
the endoscopic visualization and management of bladder tumors. Methods: An online …

Introduction: To assess the current diagnostic, treatment, and documentation strategies for
bladder cancer (BC) in German-speaking countries. Materials and Methods: A 14-item web …

Cystoscopic data can be used to improve bladder cancer care, but cystoscopic videos are
cumbersome to review. Alternatively, cystoscopic video data can be preserved in the form of …

A low-cost, efficient and accurate structure from motion (SfM) photogrammetry is used to
reconstruct the complex morphologies of unevenly deforming hydrogels during the drying …

The application of robotics in gastrointestinal endoscopy has gained more and more
attention over the past decade. The localization and navigation of the robotic gastrointestinal …