Fritz Schick - RankMe

16 papers B 1Misc 2Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. BMC Medical Imaging 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
2022	—	`conf`	Classification-guided Neural Network-based Correction of Magnetic Resonance-related Gradient Artifact Residuals in Simultaneously Recorded Surface Electromyography. EMBC Martin Schwartz, Bin Yang, Fritz Schick
2020	J	`jnl`	Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies. CoRR 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
2019	—	`conf`	Monte-Carlo Analysis for Quality Estimation of Gradient Correction Algorithms in Simultaneous Surface EMG-MRI Measurements using Signal Synthesis and Class Probability. EMBC Martin Schwartz, Milan Reuter, Bin Yang, Fritz Schick
2018	J	`jnl`	A Machine-learning framework for automatic reference-free quality assessment in MRI. CoRR 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
2018	—	`conf`	A Surface Electromyography-Driven Magnetic Resonance Sequence Controller for Real-Time Myoelectric Triggered Imaging. EMBC Martin Schwartz, Petros Martirosian, Bin Yang, Fritz Schick
2018	Misc	`conf`	Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. ICASSP Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang
2018	—	`conf`	Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA 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
2018	B	`conf`	Semantic Organ Segmentation in 3D Whole-Body MR Images. ICIP Thomas Küstner, Sarah Müller, Marc Fischer, Jakob Weiß, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis
2017	—	`conf`	An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. ISBI Thomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang
2017	J	`jnl`	MR-based respiratory and cardiac motion correction for PET imaging. Medical Image Anal. 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
2016	Misc	`conf`	Active learning for magnetic resonance image quality assessment. ICASSP Annika Liebgott, Thomas Kustner, Sergios Gatidis, Fritz Schick, Bin Yang
2016	J	`jnl`	MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo. IEEE Trans. Medical Imaging Thomas Kustner, Christian Würslin, Sergios Gatidis, Petros Martirosian, Konstantin Nikolaou, Nina F. Schwenzer, Fritz Schick, Bin Yang, Holger Schmidt
2014	J	`jnl`	Assessment of rodent brain activity using combined [ NeuroImage Hans F. Wehrl, Petros Martirosian, Fritz Schick, Gerald Reischl, Bernd J. Pichler
2012	J	`jnl`	A fully automated trabecular bone structural analysis tool based on T2*-weighted magnetic resonance imaging. Comput. Medical Imaging Graph. Markus Kraiger, Petros Martirosian, Peter Opriessnig, Frank Eibofner, Hansjoerg Rempp, Michael Hofer, Fritz Schick, Rudolf Stollberger
2007	J	`jnl`	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 Bernd Michael Mueller-Bierl, Kâmil Uludag, Philippe L. Pereira, Fritz Schick