Christopher Syben

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 54

Top Topics

Ischemic Stroke

Motion Estimation

Anatomical Landmarks

Top Venues

Bildverarbeitung für die Medizin

IEEE Trans. Medical Imaging

Publications

Linda-Sophie Schneider, Patrick Krauss, Nadine Schiering, Christopher Syben, Richard Schielein, Andreas Maier
Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives. CoRR (2024)
Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, Christopher Syben, Andreas K. Maier
The Artificial Neural Twin - Process Optimization and Continual Learning in Distributed Process Chains. CoRR (2024)
Dominik Eckert, Christopher Syben, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Sebastian Stober
StyleX: A Trainable Metric for X-ray Style Distances. CoRR (2024)
Dominik Eckert, Magdalena Herbst, Julia Wicklein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober
Guidance to Noise Simulation in X-ray Imaging. Bildverarbeitung für die Medizin (2024)
Mareike Thies, Fabian Wagner, Noah Maul, Laura Pfaff, Linda-Sophie Schneider, Christopher Syben, Andreas K. Maier
Optimizing CT Scan Geometries With and Without Gradients. CoRR (2023)
Fabian Wagner, Mareike Thies, Noah Maul, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Christopher Syben, Andreas K. Maier
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography. CoRR (2023)
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas K. Maier
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 (2023)
Linda-Sophie Schneider, Mareike Thies, Christopher Syben, Richard Schielein, Mathias Unberath, Andreas K. Maier
Task-based Generation of Optimized Projection Sets using Differentiable Ranking. CoRR (2023)
Sarah Wallraff, Sulaiman Vesal, Christopher Syben, Rainer Lutz, Andreas Maier
Age Estimation on Panoramic Dental X-ray Images using Deep Learning. Bildverarbeitung für die Medizin (2021)
Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier
Cephalogram synthesis and landmark detection in dental cone-beam CT systems. Medical Image Anal. 70 (2021)
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. Bildverarbeitung für die Medizin (2021)
Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier
Is Medical Chest X-ray Data Anonymous? CoRR (2021)
Philipp Roser, Annette Birkhold, Alexander Preuhs, Christopher Syben, Lina Felsner, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas Maier
X-Ray Scatter Estimation Using Deep Splines. IEEE Trans. Medical Imaging 40 (9) (2021)
Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang Hwan Choi, Mary Elizabeth Hall, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. Bildverarbeitung für die Medizin (2020)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
Abstract: RinQ Fingerprinting. Bildverarbeitung für die Medizin (2020)
Christopher Syben, Bernhard Stimpel, Philipp Roser, Arnd Dörfler, Andreas K. Maier
Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging. IEEE Trans. Medical Imaging 39 (11) (2020)
Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier
Deep Autofocus with Cone-Beam CT Consistency Constraint. Bildverarbeitung für die Medizin (2020)
Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
Reconstruction of Voxels with Position- and Angle-Dependent Weightings. CoRR (2020)
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning. CoRR (2020)
Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. CoRR (2020)
Philipp Roser, Annette Birkhold, Alexander Preuhs, Bernhard Stimpel, Christopher Syben, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation. Bildverarbeitung für die Medizin (2020)
Philipp Roser, Xia Zhong, Annette Birkhold, Alexander Preuhs, Christopher Syben, Elisabeth Hoppe, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. MICCAI (2) (2020)
Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing. IEEE Trans. Medical Imaging 39 (5) (2020)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting. MICCAI (3) (2019)
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier
Projection image-to-image translation in hybrid x-ray/MR imaging. Medical Imaging: Image Processing (2019)
Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. Bildverarbeitung für die Medizin (2019)
Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan B. Ploner, Andreas K. Maier
PYRO-NN: Python Reconstruction Operators in Neural Networks. CoRR (2019)
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 (2019)
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) (2019)
Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier
Image Quality Assessment for Rigid Motion Compensation. CoRR (2019)
Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier
Deep autofocus with cone-beam CT consistency constraint. CoRR (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. GMDS (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks. CoRR (2019)
Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier
User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction. Bildverarbeitung für die Medizin (2019)
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR (2019)
Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier
Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. Bildverarbeitung für die Medizin (2019)
Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
Multi-Modal Super-Resolution with Deep Guided Filtering. Bildverarbeitung für die Medizin (2019)
Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas Maier
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting. CoRR (2019)
Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing. CoRR (2019)
Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang Hwan Choi, Mary Elizabeth Hall, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT. CoRR (2019)
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier
Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR (2018)
Leonid Mill, Bastian Bier, Christopher Syben, Lasse Kling, Anika Klingberg, Silke H. Christiansen, Georg Schett, Andreas K. Maier
Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality. Bildverarbeitung für die Medizin (2018)
Andreas K. Maier, Christopher Syben, Tobias Lasser, Christian Riess
A Gentle Introduction to Deep Learning in Medical Image Processing. CoRR (2018)
Bastian Bier, Katharina Aschoff, Christopher Syben, Mathias Unberath, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees. MLMIR@MICCAI (2018)
Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. GCPR (2018)
Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier
User Loss - A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction. CoRR (2018)
Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion. CoRR (2018)
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)
Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc Levenston, Andreas K. Maier
Self-Calibration and Simultaneous Motion Estimation for C-Arm CT Using Fiducial. Bildverarbeitung für die Medizin (2017)
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 (2017)
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier
MR to X-Ray Projection Image Synthesis. CoRR (2017)
Patrick Löber, Bernhard Stimpel, Christopher Syben, Andreas K. Maier, Hendrik Ditt, Peter Schramm, Boy Raczkowski, André Kemmling
Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke. VCBM (2017)
Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc Levenston, Andreas K. Maier
JOINT calibration and motion estimation in weight-bearing cone-beam CT of the knee joint using fiducial markers. ISBI (2017)
Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier
A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR (2017)