Frank Schebesch

15 papers B 1Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Joint Super-Resolution and Rectification for Solar Cell Inspection. CoRR Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein
2019	—	`conf`	Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. Bildverarbeitung für die Medizin Yiling Xu, Frank Schebesch, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	Learning with Known Operators reduces Maximum Training Error Bounds. CoRR Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	J	`jnl`	Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2018	—	`conf`	A hybrid approach for virtual clinical trials for mammographic imaging. IWBI Frank Schebesch, Magdalena Herbst, Thomas Mertelmeier, Andreas K. Maier, Ludwig Ritschl
2018	B	`conf`	Precision Learning: Towards Use of Known Operators in Neural Networks. ICPR Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2018	—	`conf`	Towards an analytic model describing the effect of scan angle and slice thickness on the in-plane spatial resolution of calcifications in digital breast tomosynthesis. IWBI Christoph Luckner, Frank Schebesch, Thomas Mertelmeier, Andreas Fieselmann, Andreas K. Maier, Ludwig Ritschl
2017	—	`conf`	Lesion Ground Truth Estimation for a Physical Breast Phantom. Bildverarbeitung für die Medizin Suneeza Hanif, Frank Schebesch, Anna K. Jerebko, Ludwig Ritschl, Thomas Mertelmeier, Andreas K. Maier
2017	—	`conf`	Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder. MLSP Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar
2017	J	`jnl`	Precision Learning: Towards Use of Known Operators in Neural Networks. CoRR Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2017	—	`conf`	UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model. VCBM Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas K. Maier
2017	J	`jnl`	UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model. CoRR Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas K. Maier
2016	—	`conf`	Breast Density Assessment Using Wavelet Features on Mammograms. Bildverarbeitung für die Medizin Frank Schebesch, Mathias Unberath, Ingwer Andersen, Andreas K. Maier
2016	J	`jnl`	Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems. Int. J. Biomed. Imaging Johannes Rausch, Andreas K. Maier, Rebecca Fahrig, Jang Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess
2016	J	`jnl`	Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization. IEEE Trans. Computational Imaging Thomas Köhler, Xiaolin Huang, Frank Schebesch, André Aichert, Andreas K. Maier, Joachim Hornegger