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2020 – today
- 2020
[i4]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 abs/2011.05003 (2020)
2010 – 2019
- 2019
- [j3]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): 373-380 (2019) - [c8]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: 212-217 - [i3]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 abs/1907.01992 (2019) - 2018
- [c7]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: 183-188 - [c6]Frank Schebesch, Magdalena Herbst, Thomas Mertelmeier, Andreas K. Maier, Ludwig Ritschl:
A hybrid approach for virtual clinical trials for mammographic imaging. IWBI 2018: 107180Z - [c5]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: 107181R - 2017
- [c4]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: 243-248 - [c3]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: 1-6 - [c2]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: 143-147 - [i2]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 abs/1709.03450 (2017) - [i1]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 abs/1712.00374 (2017) - 2016
- [j2]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: 2502486:1-2502486:15 (2016) - [j1]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): 42-58 (2016) - [c1]Frank Schebesch, Mathias Unberath, Ingwer Andersen, Andreas K. Maier:
Breast Density Assessment Using Wavelet Features on Mammograms. Bildverarbeitung für die Medizin 2016: 38-43
Coauthor Index
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