Search Results for author: Beat Müller-Stich

Found 5 papers, 0 papers with code

Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

no code implementations8 Nov 2018 Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Michael Breucha, Beat Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

For many applications in the field of computer assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical workflow analysis are a prerequisite.

Active Learning

Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis

no code implementations13 Feb 2017 Sebastian Bodenstedt, Martin Wagner, Darko Katić, Patrick Mietkowski, Benjamin Mayer, Hannes Kenngott, Beat Müller-Stich, Rüdiger Dillmann, Stefanie Speidel

In this paper, we address this problem by presenting an unsupervised method for training a convolutional neural network (CNN) to differentiate between laparoscopic video frames on a temporal basis.

Cannot find the paper you are looking for? You can Submit a new open access paper.