Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography

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.

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling

no code implementations • 8 Feb 2022 • Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger

With coronary artery disease (CAD) persisting to be one of the leading causes of death worldwide, interest in supporting physicians with algorithms to speed up and improve diagnosis is high.

Coronary Plaque Analysis for CT Angiography Clinical Research

no code implementations • 11 Jan 2021 • Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max Schöbinger, Andreas Maier, Michael Sühling

However, to enable clinical research with the help of these algorithms, a software solution, which enables manual correction, comprehensive visual feedback and tissue analysis capabilities, is needed.

Segmentation

Automatic CAD-RADS Scoring Using Deep Learning

no code implementations • 5 Oct 2020 • Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier

Coronary CT angiography (CCTA) has established its role as a non-invasive modality for the diagnosis of coronary artery disease (CAD).

Decision Making Multi-Task Learning