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Fritz Schick
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Journal Articles
- 2023
- [j6]Marc Fischer, Thomas Küstner, Sofia Pappa, Thoralf Niendorf, Tobias Pischon, Thomas Kröncke, Stefanie Bette, Sara Schramm, Börge Schmidt, Johannes Haubold, Felix Nensa, Tobias Nonnenmacher, Viktoria Palm, Fabian Bamberg, Lena Kiefer, Fritz Schick, Bin Yang:
Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. BMC Medical Imaging 23(1): 104 (2023) - 2017
- [j5]Thomas Kustner, Martin Schwartz, Petros Martirosian, Sergios Gatidis, Ferdinand Seith, Christopher Gilliam, Thierry Blu, Hadi Fayad, Dimitris Visvikis, Fritz Schick, Bin Yang, Holger Schmidt, Nina F. Schwenzer:
MR-based respiratory and cardiac motion correction for PET imaging. Medical Image Anal. 42: 129-144 (2017) - 2016
- [j4]Thomas Kustner, Christian Würslin, Sergios Gatidis, Petros Martirosian, Konstantin Nikolaou, Nina F. Schwenzer, Fritz Schick, Bin Yang, Holger Schmidt:
MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo. IEEE Trans. Medical Imaging 35(11): 2447-2458 (2016) - 2014
- [j3]Hans F. Wehrl, Petros Martirosian, Fritz Schick, Gerald Reischl, Bernd J. Pichler:
Assessment of rodent brain activity using combined [15O]H2O-PET and BOLD-fMRI. NeuroImage 89: 271-279 (2014) - 2012
- [j2]Markus Kraiger, Petros Martirosian, Peter Opriessnig, Frank Eibofner, Hansjoerg Rempp, Michael Hofer, Fritz Schick, Rudolf Stollberger:
A fully automated trabecular bone structural analysis tool based on T2*-weighted magnetic resonance imaging. Comput. Medical Imaging Graph. 36(2): 85-94 (2012) - 2007
- [j1]Bernd Michael Mueller-Bierl, Kâmil Uludag, Philippe L. Pereira, Fritz Schick:
Magnetic Field Distribution and Signal Decay in Functional MRI in Very High Fields (up to 9.4 T) Using Monte Carlo Diffusion Modeling. Int. J. Biomed. Imaging 2007: 70309:1-70309:7 (2007)
Conference and Workshop Papers
- 2022
- [c8]Martin Schwartz, Bin Yang, Fritz Schick:
Classification-guided Neural Network-based Correction of Magnetic Resonance-related Gradient Artifact Residuals in Simultaneously Recorded Surface Electromyography. EMBC 2022: 3632-3635 - 2019
- [c7]Martin Schwartz, Milan Reuter, Bin Yang, Fritz Schick:
Monte-Carlo Analysis for Quality Estimation of Gradient Correction Algorithms in Simultaneous Surface EMG-MRI Measurements using Signal Synthesis and Class Probability. EMBC 2019: 690-693 - 2018
- [c6]Sebastian Milde, Annika Liebgott, Ziwei Wu, Wenyi Feng, Jiahuan Yang, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang, Thomas Kustner:
Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA 2018: 838-847 - [c5]Martin Schwartz, Petros Martirosian, Bin Yang, Fritz Schick:
A Surface Electromyography-Driven Magnetic Resonance Sequence Controller for Real-Time Myoelectric Triggered Imaging. EMBC 2018: 1356-1359 - [c4]Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang:
Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. ICASSP 2018: 995-999 - [c3]Thomas Küstner, Sarah Müller, Marc Fischer, Jakob Weiß, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis:
Semantic Organ Segmentation in 3D Whole-Body MR Images. ICIP 2018: 3498-3502 - 2017
- [c2]Thomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang:
An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. ISBI 2017: 754-757 - 2016
- [c1]Annika Liebgott, Thomas Kustner, Sergios Gatidis, Fritz Schick, Bin Yang:
Active learning for magnetic resonance image quality assessment. ICASSP 2016: 922-926
Informal and Other Publications
- 2020
- [i2]Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann:
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies. CoRR abs/2008.02251 (2020) - 2018
- [i1]Thomas Küstner, Sergios Gatidis, Annika Liebgott, Martin Schwartz, Lukas Mauch, Petros Martirosian, Holger Schmidt, Nina F. Schwenzer, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick:
A Machine-learning framework for automatic reference-free quality assessment in MRI. CoRR abs/1806.09602 (2018)
Coauthor Index
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