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Christopher Syben

Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universit├Ąt Erlangen-N├╝rnberg, Erlangen, Germany

Is Medical Chest X-ray Data Anonymous?


Mar 15, 2021
Kai Packh├Ąuser, Sebastian G├╝ndel, Nicolas M├╝nster, Christopher Syben, Vincent Christlein, Andreas Maier

* Submission to Nature 

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X-ray Scatter Estimation Using Deep Splines


Jan 22, 2021
Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Korwarschik, Rebecca Fahrig, Andreas Maier

* 10 pages, 11 figures, submitted to IEEE Trans Med Imaging, currently under revision 

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Reconstruction of Voxels with Position- and Angle-Dependent Weightings


Oct 27, 2020
Lina Felsner, Tobias W├╝rfl, 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 W├╝rfl, Katharina Breininger, Philipp Hoelter, Arnd D├Ârfler, 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 D├Ârfler, 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 K├Ârzd├Ârfer, 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 K├Ârzd├Ârfer, 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 W├╝rfl, 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 W├╝rfl, Arnd D├Ârfler, 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 W├╝rfl, 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 W├╝rfl, Rebecca Fahrig, Arnd D├Ârfler, 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 W├╝rfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd D├Ârfler, 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 W├╝rfl, Katrin Mentl, Arnd D├Ârfler, Andreas Maier

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

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