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Holger Schmitt
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2010 – 2019
- 2019
- [j5]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) - [j4]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) - [i2]Moti Freiman, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Pál Maurovich-Horvat, Patrick Donnelly, Liran Goshen:
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. CoRR abs/1906.09763 (2019) - [i1]Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen:
Learning a sparse database for patch-based medical image segmentation. CoRR abs/1906.10338 (2019) - 2018
- [c9]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. Medical Imaging: Image Processing 2018: 1057416 - 2017
- [c8]Moti Freiman
, Hannes Nickisch
, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen:
Learning a Sparse Database for Patch-Based Medical Image Segmentation. Patch-MI@MICCAI 2017: 47-54 - 2016
- [c7]Moti Freiman
, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen:
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. Medical Imaging: Image Processing 2016: 978403 - 2015
- [c6]Hannes Nickisch, Yechiel Lamash, Sven Prevrhal, Moti Freiman
, Mani Vembar, Liran Goshen, Holger Schmitt:
Learning Patient-Specific Lumped Models for Interactive Coronary Blood Flow Simulations. MICCAI (2) 2015: 433-441 - 2011
- [j3]Martin Le-Huu, Holger Schmitt, Stefan Noll, Michael Grieb, Frederik F. Schrey, Anton J. Bauer, Lothar Frey, Heiner Ryssel:
Investigation of the reliability of 4H-SiC MOS devices for high temperature applications. Microelectron. Reliab. 51(8): 1346-1350 (2011)
2000 – 2009
- 2009
- [c5]Jochen Peters, Olivier Ecabert, Holger Schmitt, Michael Grass, Jürgen Weese:
Local Cardiac Wall Motion Estimation from Retrospectively Gated CT Images. FIMH 2009: 191-200 - 2004
- [c4]Holger Schmitt, Michael Grass, Thomas Köhler, R. Suurmond, Volker Rasche, S. Hähnel, S. Heiland:
A linear programming framework for blood flow reconstruction in cerebral vessel trees. CARS 2004: 1061-1066 - 2003
- [b1]Holger Schmitt:
Bewertung digitaler Hardware-Realisierungen zur Unterstützung des Systementwurfs. Goethe University Frankfurt, Frankfurt am Main, Germany, Shaker 2003, ISBN 978-3-8322-1830-0, pp. 1-202 - 2002
- [j2]Holger Schmitt, Michael Grass, Volker Rasche
, Oliver Schramm, S. Hähnel, K. Sartor:
An x-ray based method for the determination of the contrast agent propagation in 3D vessel structures. IEEE Trans. Medical Imaging 21(3): 251-262 (2002) - 2001
- [c3]Michael Graß, Holger Schmitt, Volker Rasche, S. Hähnel, Oliver Schramm, M. Hartmann, K. Sartor:
A method for 3D flow determination based on X-ray rotational angiography. CARS 2001: 408-414 - [c2]Holger Schmitt:
High-Level Bewertung sequentieller Schaltungen. MBMV (2) 2001: 7-17
1990 – 1999
- 1999
- [j1]Holger Schmitt, Markus Elf, Klaus Waldschmidt:
Bewertung und Analyse hybrider Systeme. Informationstechnik Tech. Inform. 41(2): 37-41 (1999) - [c1]Frank Heuschen, Holger Schmitt, Klaus Waldschmidt:
Formale Modellierung der Partitionierung eines gemischt analog/digitalen Systems. MBMV 1999: 71-80
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