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ORCIDChristopher Syben
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2020 – today
- 2024
[j6]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. Neural Networks 180: 106647 (2024)- [c23]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: 184-189 - [i26]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 abs/2403.18343 (2024) - [i25]Dominik Eckert, Christopher Syben, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Sebastian Stober:
StyleX: A Trainable Metric for X-ray Style Distances. CoRR abs/2405.14718 (2024) - [i24]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 abs/2406.16659 (2024) - 2023
- [c22]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: 204 - [i23]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 abs/2302.06251 (2023) - [i22]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 abs/2302.06436 (2023) - [i21]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 abs/2303.11724 (2023) - 2021
- [j5]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: 102028 (2021) - [j4]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): 2272-2283 (2021) - [c21]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: 186-191 - [c20]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: 262 - [i20]Kai Packhäuser, Sebastian Gündel, Nicolas Münster, Christopher Syben, Vincent Christlein, Andreas Maier:
Is Medical Chest X-ray Data Anonymous? CoRR abs/2103.08562 (2021) - 2020
- [j3]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): 1703-1711 (2020) - [j2]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): 3488-3498 (2020) - [c19]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:
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. Bildverarbeitung für die Medizin 2020: 67-72 - [c18]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: 125-130 - [c17]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: 169-174 - [c16]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: 184 - [c15]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: 199-208 - [i19]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 abs/2007.04018 (2020) - [i18]Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier:
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems. CoRR abs/2009.04420 (2020) - [i17]Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess:
Reconstruction of Voxels with Position- and Angle-Dependent Weightings. CoRR abs/2010.14205 (2020)
2010 – 2019
- 2019
- [j1]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): 373-380 (2019) - [c14]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: 29 - [c13]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: 92-97 - [c12]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: 110-115 - [c11]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: 134-139 - [c10]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: 126-133 - [c9]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: 92-100 - [c8]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: 109492K - [i16]Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan B. Ploner, Andreas K. Maier:
PYRO-NN: Python Reconstruction Operators in Neural Networks. CoRR abs/1904.13342 (2019) - [i15]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 abs/1907.01992 (2019) - [i14]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 abs/1907.05277 (2019) - [i13]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 abs/1909.06395 (2019) - [i12]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 abs/1910.04254 (2019) - [i11]Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing. CoRR abs/1911.07731 (2019) - [i10]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 abs/1911.08163 (2019) - [i9]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 abs/1911.13162 (2019) - [i8]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:
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT. CoRR abs/1912.01362 (2019) - 2018
- [c7]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: 115-120 - [c6]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: 503-517 - [c5]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: 183-188 - [c4]Bastian Bier, Katharina Aschoff, Christopher Syben, Mathias Unberath, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier:
Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees. MLMIR@MICCAI 2018: 83-90 - [i7]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 abs/1804.03955 (2018) - [i6]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 abs/1807.03057 (2018) - [i5]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 abs/1807.09303 (2018) - [i4]Andreas K. Maier, Christopher Syben, Tobias Lasser, Christian Riess:
A Gentle Introduction to Deep Learning in Medical Image Processing. CoRR abs/1810.05401 (2018) - 2017
- [c3]Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc E. Levenston, Andreas K. Maier:
Self-Calibration and Simultaneous Motion Estimation for C-Arm CT Using Fiducial. Bildverarbeitung für die Medizin 2017: 56-61 - [c2]Christopher Syben, Bastian Bier, Martin Berger, André Aichert, Rebecca Fahrig, Garry Gold, Marc E. Levenston, Andreas K. Maier:
JOINT calibration and motion estimation in weight-bearing cone-beam CT of the knee joint using fiducial markers. ISBI 2017: 494-497 - [c1]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: 125-129 - [i3]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 abs/1710.06287 (2017) - [i2]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier:
MR to X-Ray Projection Image Synthesis. CoRR abs/1710.07498 (2017) - [i1]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 abs/1712.00374 (2017)
Coauthor Index
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