Christopher Syben

Orcid: 0000-0002-9514-5389

According to our database1, Christopher Syben authored at least 44 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Artificial Neural Twin - Process optimization and continual learning in distributed process chains.
Neural Networks, 2024

Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives.
CoRR, 2024

StyleX: A Trainable Metric for X-ray Style Distances.
CoRR, 2024

Guidance to Noise Simulation in X-ray Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Task-based Generation of Optimized Projection Sets using Differentiable Ranking.
CoRR, 2023

Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography.
CoRR, 2023

Optimizing CT Scan Geometries With and Without Gradients.
CoRR, 2023

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.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2021
X-Ray Scatter Estimation Using Deep Splines.
IEEE Trans. Medical Imaging, 2021

Cephalogram synthesis and landmark detection in dental cone-beam CT systems.
Medical Image Anal., 2021

Is Medical Chest X-ray Data Anonymous?
CoRR, 2021

Age Estimation on Panoramic Dental X-ray Images using Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging.
IEEE Trans. Medical Imaging, 2020

Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing.
IEEE Trans. Medical Imaging, 2020

Reconstruction of Voxels with Position- and Angle-Dependent Weightings.
CoRR, 2020

Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Deep Autofocus with Cone-Beam CT Consistency Constraint.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: RinQ Fingerprinting.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Learning with known operators reduces maximum error bounds.
Nat. Mach. Intell., 2019

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging.
CoRR, 2019

Image Quality Assessment for Rigid Motion Compensation.
CoRR, 2019

Learning with Known Operators reduces Maximum Training Error Bounds.
CoRR, 2019

PYRO-NN: Python Reconstruction Operators in Neural Networks.
CoRR, 2019

Projection image-to-image translation in hybrid x-ray/MR imaging.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.
Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019

User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Multi-Modal Super-Resolution with Deep Guided Filtering.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
A Gentle Introduction to Deep Learning in Medical Image Processing.
CoRR, 2018

Projection image-to-image translation in hybrid X-ray/MR imaging.
CoRR, 2018

Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Precision Learning: Towards Use of Known Operators in Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
MR to X-Ray Projection Image Synthesis.
CoRR, 2017

A Deep Learning Approach for Reconstruction Filter Kernel Discretization.
CoRR, 2017

Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke.
Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

JOINT calibration and motion estimation in weight-bearing cone-beam CT of the knee joint using fiducial markers.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Self-Calibration and Simultaneous Motion Estimation for C-Arm CT Using Fiducial.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017


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