129 citations · 181 across the 6 of their papers we have counts for
7 papers
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography
Felix Denzinger, Michael Wels, Oliver Taubmann +10
Coronary artery disease (CAD) is often treated minimally invasively with a catheter being inserted into the diseased coronary vessel. If a patient exhibits a Shepherd's Crook (SC)…
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling
Felix Denzinger, Michael Wels, Oliver Taubmann +8
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 diagnosi…
Coronary Plaque Analysis for CT Angiography Clinical Research
Felix Denzinger, Michael Wels, Christian Hopfgartner +4
The analysis of plaque deposits in the coronary vasculature is an important topic in current clinical research. From a technical side mostly new algorithms for different sub tasks…
Automatic CAD-RADS Scoring Using Deep Learning
Felix Denzinger, Michael Wels, Katharina Breininger +7
Coronary CT angiography (CCTA) has established its role as a non-invasive modality for the diagnosis of coronary artery disease (CAD). The CAD-Reporting and Data System (CAD-RADS)…
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization
Alexander Katzmann, Oliver Taubmann, Stephen Ahmad +3
Clinical decision support using deep neural networks has become a topic of steadily growing interest. While recent work has repeatedly demonstrated that deep learning offers major…
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
Felix Denzinger, Michael Wels, Katharina Breininger +5
Analysing coronary artery plaque segments with respect to their functional significance and therefore their influence to patient management in a non-invasive setup is an important…