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ORCIDTanja Lossau
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- affiliation: Philips Research, Hamburg, Germany
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2020 – today
- 2020
[b1]Tanja Lossau:
Machine learning in cardiac CT image reconstruction. University of Hamburg, Germany, Shaker Verlag 2020, ISBN 978-3-8440-7353-9, pp. 1-127- [j3]Tanja Lossau, Hannes Nickisch
, Tobias Wissel, Michael M. Morlock, Michael Grass:
Learning metal artifact reduction in cardiac CT images with moving pacemakers. Medical Image Anal. 61: 101655 (2020)
2010 – 2019
- 2019
- [j2]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Rolf-Dieter Bippus, Holger Schmitt, Michael M. Morlock, Michael Grass:
Motion estimation and correction in cardiac CT angiography images using convolutional neural networks. Comput. Medical Imaging Graph. 76 (2019) - [j1]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Rolf Bippus, Holger Schmitt, Michael M. Morlock, Michael Grass:
Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks. Medical Image Anal. 52: 68-79 (2019) - [c2]Tanja Lossau, Hannes Nickisch, Tobias Wissel, Samer Hakmi, Clemens Spink, Michael M. Morlock, Michael Grass:
Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs. MIDL 2019: 347-357 - 2018
- [c1]Tanja Elss, Hannes Nickisch, Tobias Wissel, Holger Schmitt, Mani Vembar, Michael M. Morlock, Michael Grass:
Deep-learning-based CT motion artifact recognition in coronary arteries. Image Processing 2018: 1057416
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