Christopher Syben

60 papers B 2Journal 34Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Parameter-efficient Finetuning of Foundational Models for Text-guided X-ray Image Segmentation. Bildverarbeitung für die Medizin Maeen Alikarrar, Christopher Syben, Joshua Scheuplein, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Andreas Maier
2025	—	`conf`	An Interpretable X-Ray Style Transfer Via Trainable Local Laplacian Filter. ISBI Dominik Eckert, Ludwig Ritschl, Christopher Syben, Christian Hümmer, Julia Wicklein, Marcel Beister, Steffen Kappler, Sebastian Stober
2025	—	`conf`	From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collimators via Hough Transform. SASHIMI@MICCAI 2025 Benjamin El-Zein, Dominik Eckert, Andreas Fieselmann, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober
2025	J	`jnl`	From Lines to Shapes: Geometric-Constrained Segmentation of X-Ray Collimators via Hough Transform. CoRR Benjamin El-Zein, Dominik Eckert, Andreas Fieselmann, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober
2024	J	`jnl`	An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter. CoRR Dominik Eckert, Ludwig Ritschl, Christopher Syben, Christian Hümmer, Julia Wicklein, Marcel Beister, Steffen Kappler, Sebastian Stober
2024	J	`jnl`	Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives. CoRR Linda-Sophie Schneider, Patrick Krauss, Nadine Schiering, Christopher Syben, Richard Schielein, Andreas Maier
2024	—	`conf`	Guidance to Noise Simulation in X-ray Imaging. Bildverarbeitung für die Medizin Dominik Eckert, Magdalena Herbst, Julia Wicklein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober
2024	J	`jnl`	StyleX: A Trainable Metric for X-ray Style Distances. CoRR Dominik Eckert, Christopher Syben, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Sebastian Stober
2024	J	`jnl`	The Artificial Neural Twin - Process Optimization and Continual Learning in Distributed Process Chains. CoRR Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, Christopher Syben, Andreas K. Maier
2024	J	`jnl`	The Artificial Neural Twin - Process optimization and continual learning in distributed process chains. Neural Networks Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, Christopher Syben, Andreas K. Maier
2023	—	`conf`	Abstract: Is Medical Chest X-ray Data Anonymous? - Deep Learning-based Patient Re-identification is Able to Exploit the Biometric Nature of Medical Chest X-ray Data. Bildverarbeitung für die Medizin Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier
2023	J	`jnl`	Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography. CoRR Fabian Wagner, Mareike Thies, Noah Maul, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Christopher Syben, Andreas K. Maier
2023	J	`jnl`	Optimizing CT Scan Geometries With and Without Gradients. CoRR Mareike Thies, Fabian Wagner, Noah Maul, Laura Pfaff, Linda-Sophie Schneider, Christopher Syben, Andreas K. Maier
2023	J	`jnl`	Task-based Generation of Optimized Projection Sets using Differentiable Ranking. CoRR Linda-Sophie Schneider, Mareike Thies, Christopher Syben, Richard Schielein, Mathias Unberath, Andreas K. Maier
2021	—	`conf`	Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. Bildverarbeitung für die Medizin Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
2021	—	`conf`	Age Estimation on Panoramic Dental X-ray Images using Deep Learning. Bildverarbeitung für die Medizin Sarah Wallraff, Sulaiman Vesal, Christopher Syben, Rainer Lutz, Andreas Maier
2021	J	`jnl`	Cephalogram synthesis and landmark detection in dental cone-beam CT systems. Medical Image Anal. Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier
2021	J	`jnl`	Is Medical Chest X-ray Data Anonymous? CoRR Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
2021	J	`jnl`	X-Ray Scatter Estimation Using Deep Splines. IEEE Trans. Medical Imaging Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
2020	—	`conf`	Abstract: RinQ Fingerprinting. Bildverarbeitung für die Medizin Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
2020	J	`jnl`	Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. CoRR Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier
2020	—	`conf`	Deep Autofocus with Cone-Beam CT Consistency Constraint. Bildverarbeitung für die Medizin Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier
2020	—	`conf`	Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation. Bildverarbeitung für die Medizin Philipp Roser, Annette Birkhold, Alexander Preuhs, Bernhard Stimpel, Christopher Syben, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
2020	J	`jnl`	Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging. IEEE Trans. Medical Imaging Christopher Syben, Bernhard Stimpel, Philipp Roser, Arnd Dörfler, Andreas K. Maier
2020	—	`conf`	Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. Bildverarbeitung für die Medizin Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
2020	J	`jnl`	Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing. IEEE Trans. Medical Imaging Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
2020	J	`jnl`	Reconstruction of Voxels with Position- and Angle-Dependent Weightings. CoRR Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
2020	—	`conf`	Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. MICCAI (2) Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
2020	J	`jnl`	Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning. CoRR Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
2019	—	`conf`	Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. Bildverarbeitung für die Medizin Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	Deep autofocus with cone-beam CT consistency constraint. CoRR Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier
2019	J	`jnl`	Image Quality Assessment for Rigid Motion Compensation. CoRR Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier
2019	J	`jnl`	Learning with Known Operators reduces Maximum Training Error Bounds. CoRR Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	J	`jnl`	Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	—	`conf`	Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. GMDS Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
2019	J	`jnl`	Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. CoRR Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
2019	—	`conf`	Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. Bildverarbeitung für die Medizin Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier
2019	J	`jnl`	Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT. CoRR Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang Hwan Choi, Mary Elizabeth Hall, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
2019	—	`conf`	Multi-Modal Super-Resolution with Deep Guided Filtering. Bildverarbeitung für die Medizin Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing. CoRR Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	PYRO-NN: Python Reconstruction Operators in Neural Networks. CoRR Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan B. Ploner, Andreas K. Maier
2019	B	`conf`	Projection image-to-image translation in hybrid x-ray/MR imaging. Image Processing Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
2019	—	`conf`	RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. MICCAI (3) Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
2019	J	`jnl`	RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting. CoRR Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
2019	—	`conf`	User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction. Bildverarbeitung für die Medizin Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier
2018	J	`jnl`	A Gentle Introduction to Deep Learning in Medical Image Processing. CoRR Andreas K. Maier, Christopher Syben, Tobias Lasser, Christian Riess
2018	—	`conf`	Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. GCPR Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier
2018	J	`jnl`	Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion. CoRR Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier
2018	—	`conf`	Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees. MLMIR@MICCAI Bastian Bier, Katharina Aschoff, Christopher Syben, Mathias Unberath, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
2018	B	`conf`	Precision Learning: Towards Use of Known Operators in Neural Networks. ICPR Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2018	J	`jnl`	Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier
2018	—	`conf`	Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality. Bildverarbeitung für die Medizin Leonid Mill, Bastian Bier, Christopher Syben, Lasse Kling, Anika Klingberg, Silke H. Christiansen, Georg Schett, Andreas K. Maier
2018	J	`jnl`	User Loss - A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction. CoRR Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier
2017	J	`jnl`	A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier
2017	—	`conf`	Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke. VCBM Patrick Löber, Bernhard Stimpel, Christopher Syben, Andreas K. Maier, Hendrik Ditt, Peter Schramm, Boy Raczkowski, André Kemmling
2017	—	`conf`	JOINT calibration and motion estimation in weight-bearing cone-beam CT of the knee joint using fiducial markers. ISBI Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc E. Levenston, Andreas K. Maier
2017	J	`jnl`	MR to X-Ray Projection Image Synthesis. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier
2017	J	`jnl`	Precision Learning: Towards Use of Known Operators in Neural Networks. CoRR Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig
2017	—	`conf`	Self-Calibration and Simultaneous Motion Estimation for C-Arm CT Using Fiducial. Bildverarbeitung für die Medizin Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc E. Levenston, Andreas K. Maier