Frank Schebesch

According to our database, Frank Schebesch authored at least 13 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Joint Super-Resolution and Rectification for Solar Cell Inspection.

Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein

CoRR, 2020

2019

Learning with known operators reduces maximum error bounds.

Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen

Nat. Mach. Intell., 2019

Learning with Known Operators reduces Maximum Training Error Bounds.

Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen

CoRR, 2019

Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers.

Yiling Xu, Frank Schebesch, Nishant Ravikumar, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

A hybrid approach for virtual clinical trials for mammographic imaging.

Frank Schebesch, Magdalena Herbst, Thomas Mertelmeier, Andreas K. Maier, Ludwig Ritschl

Proceedings of the 14th International Workshop on Breast Imaging, 2018

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.

Christoph Luckner, Frank Schebesch, Thomas Mertelmeier, Andreas Fieselmann, Andreas K. Maier, Ludwig Ritschl

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Precision Learning: Towards Use of Known Operators in Neural Networks.

Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model.

Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas K. Maier

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder.

Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Lesion Ground Truth Estimation for a Physical Breast Phantom.

Suneeza Hanif, Frank Schebesch, Anna K. Jerebko, Ludwig Ritschl, Thomas Mertelmeier, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization.

Thomas Köhler, Xiaolin Huang, Frank Schebesch, André Aichert, Andreas K. Maier, Joachim Hornegger

IEEE Trans. Computational Imaging, 2016

Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems.

Johannes Rausch, Andreas K. Maier, Rebecca Fahrig, Jang Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess

Int. J. Biomed. Imaging, 2016

Breast Density Assessment Using Wavelet Features on Mammograms.

Frank Schebesch, Mathias Unberath, Ingwer Andersen, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016