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Christopher Syben

Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

Reconstruction of Voxels with Position- and Angle-Dependent Weightings

Oct 27, 2020
Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess

* This paper was originally published at the 6th International Conference on Image Formation in X-Ray Computed Tomography (CTmeeting 2020) 
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Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems

Sep 09, 2020
Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier


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Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning

Jul 08, 2020
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier

* 10 pages, 3 figures, 1 table, accepted at MICCAI 2020 
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Deep autofocus with cone-beam CT consistency constraint

Dec 04, 2019
Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier

* Accepted at BVM 2020, review score under Top-6 of the conference 
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Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT

Dec 03, 2019
Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas Maier

* 6 pages, accepted at BVM 2020 
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Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging

Nov 19, 2019
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philipp Hoelter, Arnd Dörfler, Andreas Maier


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Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing

Nov 18, 2019
Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philipp Hoelter, Arnd Dörfler, Andreas Maier


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Image Quality Assessment for Rigid Motion Compensation

Oct 09, 2019
Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier

* Accepted at MedNeurips 2019 
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Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks

Sep 13, 2019
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier

* Studies in Health Technology and Informatics [01 Sep 2019, 267:126-133] 
 * Accepted and presented at the German Medical Data Sciences (GMDS) conference 2019 (Dortmund, Germany) 
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RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting

Jul 21, 2019
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier

* Accepted for MICCAI 2019 
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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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PYRO-NN: Python Reconstruction Operators in Neural Networks

Apr 30, 2019
Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan Ploner, Andreas K. Maier

* V1: Submitted to Medical Physics, 11 pages, 7 figures 
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Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion

Oct 23, 2018
Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier

* Inproceedings GCPR 2018 
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A Gentle Introduction to Deep Learning in Medical Image Processing

Oct 12, 2018
Andreas Maier, Christopher Syben, Tobias Lasser, Christian Riess

* Submitted to Journal of Medical Physics 
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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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User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction

Jul 24, 2018
Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas Maier

* 8 pages submitted for The 23rd Iberoamerican Congress on Pattern Recognition, Madrid, Spain 
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Precision Learning: Reconstruction Filter Kernel Discretization

Jul 09, 2018
Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas Maier

* Accepted at The Fifth International Conference on Image Formation in X-Ray Computed Tomography 
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Projection image-to-image translation in hybrid X-ray/MR imaging

Apr 11, 2018
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas Maier

* Submitted to MIDL 2018 Conference 
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MR to X-Ray Projection Image Synthesis

Apr 03, 2018
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas Maier

* In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography 
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