most citedImproving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

25 citations

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2 papers

eess.IV2019★ 3 cited

Learning a sparse database for patch-based medical image segmentation

Moti Freiman, Hannes Nickisch, Holger Schmitt +4

We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from coronary computed tomograp…

eess.IV2019★ 25 cited

Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

Moti Freiman, Hannes Nickisch, Sven Prevrhal +5

Purpose: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm from…