Frank Schebesch

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 15

Top Topics

Spatial Resolution

Top Venues

Bildverarbeitung für die Medizin

Publications

Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein
Joint Super-Resolution and Rectification for Solar Cell Inspection. CoRR (2020)
Yiling Xu, Frank Schebesch, Nishant Ravikumar, Andreas K. Maier
Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. Bildverarbeitung für die Medizin (2019)
Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
Learning with Known Operators reduces Maximum Training Error Bounds. CoRR (2019)
Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. 1 (8) (2019)
Christoph Luckner, Frank Schebesch, Thomas Mertelmeier, Andreas Fieselmann, Andreas K. Maier, Ludwig Ritschl
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 (2018)
Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
Precision Learning: Towards Use of Known Operators in Neural Networks. ICPR (2018)
Frank Schebesch, Magdalena Herbst, Thomas Mertelmeier, Andreas K. Maier, Ludwig Ritschl
A hybrid approach for virtual clinical trials for mammographic imaging. IWBI (2018)
Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas K. Maier
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model. VCBM (2017)
Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar
Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder. MLSP (2017)
Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
Precision Learning: Towards Use of Known Operators in Neural Networks. CoRR (2017)
Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas K. Maier
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model. CoRR (2017)
Suneeza Hanif, Frank Schebesch, Anna K. Jerebko, Ludwig Ritschl, Thomas Mertelmeier, Andreas K. Maier
Lesion Ground Truth Estimation for a Physical Breast Phantom. Bildverarbeitung für die Medizin (2017)
Thomas Köhler, Xiaolin Huang, Frank Schebesch, André Aichert, Andreas K. Maier, Joachim Hornegger
Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization. IEEE Trans. Computational Imaging 2 (1) (2016)
Johannes Rausch, Andreas K. Maier, Rebecca Fahrig, Jang Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess
Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems. Int. J. Biomed. Imaging 2016 (2016)
Frank Schebesch, Mathias Unberath, Ingwer Andersen, Andreas K. Maier
Breast Density Assessment Using Wavelet Features on Mammograms. Bildverarbeitung für die Medizin (2016)