Oliver Aust

According to our database1, Oliver Aust authored at least 14 papers between 2021 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
Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy.
CoRR, 2024

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Exploring Epipolar Consistency Conditions.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy.
CoRR, 2023

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

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising.
Proceedings of the Information Processing in Medical Imaging, 2023

Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.
CoRR, 2022

Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography.
CoRR, 2022

Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021


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