no code implementations • 22 May 2023 • Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buss, Johannes Görich, Michael Sühling, Andreas Maier
If a patient exhibits a Shepherd's Crook (SC) Right Coronary Artery (RCA) - an anatomical norm variant of the coronary vasculature - the complexity of this procedure is increased.
1 code implementation • 11 May 2023 • Mathias Seuret, Janne van der Loop, Nikolaus Weichselbaumer, Martin Mayr, Janina Molnar, Tatjana Hass, Florian Kordon, Anguelos Nicolau, Vincent Christlein
Moreover, we developed a system using local font group recognition in order to combine the output of multiple font recognition models, and show that while slower, this approach performs better not only on text lines composed of multiple fonts but on the ones containing a single font only as well.
no code implementations • 17 Jan 2022 • Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martin Vicario, Florian Kordon, Andreas Maier
In this report we want to present our method and results for the Carotid Artery Vessel Wall Segmentation Challenge.
no code implementations • 3 Dec 2021 • Tristan M. Gottschalk, Andreas Maier, Florian Kordon, Björn W. Kreher
Due to occurring metal artifacts, the quality of this evaluation heavily depends on the performance of so-called Metal Artifact Reduction methods (MAR).
no code implementations • 15 Sep 2021 • Celia Martin Vicario, Florian Kordon, Felix Denzinger, Jan Siad El Barbari, Maxim Privalov, Jochen Franke, Sarina Thomas, Lisa Kausch, Andreas Maier, Holger Kunze
The most important benefit of the MTL approach is that it is a single network for standard plane regression for all body regions with a reduced number of stored parameters.
no code implementations • 26 Jan 2021 • Tristan M. Gottschalk, Andreas Maier, Florian Kordon, Björn W. Kreher
Metal implants that are inserted into the patient's body during trauma interventions cause heavy artifacts in 3D X-ray acquisitions.
no code implementations • 24 Jul 2019 • Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke, Ruxandra Lasowski, Andreas Maier, Holger Kunze
A deep multi-task stacked hourglass network is trained on 149 conventional lateral X-ray images to jointly localize two femoral landmarks, to predict a region of interest for the posterior femoral cortex tangent line, and to perform semantic segmentation of the femur, patella, tibia, and fibula with adaptive task complexity weighting.