21 citations · 24 across the 3 of their papers we have counts for
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eess.IV2019★ 1 cited
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…
eess.IV2019★ 21 cited
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…