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Joint Super-Resolution and Rectification for Solar Cell Inspection

Nov 10, 2020
Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein


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Learning with Known Operators reduces Maximum Training Error Bounds

Jul 03, 2019
Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke Christiansen

* Paper conditionally accepted in Nature Machine Intelligence 

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Precision Learning: Towards Use of Known Operators in Neural Networks

Oct 12, 2018
Andreas Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang-Hwan Choi, Rebecca Fahrig

* A. Maier, F. Schebesch, C. Syben, T. W\"urfl, S. Steidl, J.-H. Choi, R. Fahrig, Precision Learning: Towards Use of Known Operators in Neural Networks, in: 24rd International Conference on Pattern Recognition (ICPR), 2018, pp. 183-188 
* accepted on ICPR 2018 

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

Sep 11, 2017
Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas Maier

* Eurographics Workshop on Visual Computing for Biology and Medicine (2017) 143-147 
* This work is submitted to the 2017 Eurographics Workshop on Visual Computing for Biology and Medicine 

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