21 citations · 24 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
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)…
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…
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics
Felix Denzinger, Michael Wels, Nishant Ravikumar +6
Assessing coronary artery plaque segments in coronary CT angiography scans is an important task to improve patient management and clinical outcomes, as it can help to decide whethe…