25 citations · 28 across the 2 of their papers we have counts for
3 papers
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
Kajetan Grodecki, Aditya Killekar, Andrew Lin +22
Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of t…
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…
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…