Stefan Uderhardt

According to our database, Stefan Uderhardt authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CyclePose - Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy.

Jonas Utz, Stefan Vocht, Anne Tjorven Buessen, Dennis Possart, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger

CoRR, March, 2025

Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo.

Miriam Schnitzerlein, Eric Greto, Anja Wegner, Anna Möller, Oliver Aust, Oumaima B. Brahim, David B. Blumenthal, Vasily Zaburdaev, Stefan Uderhardt

PLoS Comput. Biol., 2025

2024

Exploring Epipolar Consistency Conditions.

Mareike Thies, Fabian Wagner, Mingxuan Gu, Siyuan Mei, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

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

Mareike Thies, Fabian Wagner, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier

CoRR, 2023

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising.

Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas Maier

Proceedings of the Information Processing in Medical Imaging, 2023

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN.

Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy.

Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model.

Adarsh Raghunath, Fabian Wagner, Mareike Thies, Mingxuan Gu, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae.

Mingxuan Gu, Mareike Thies, Fabian Wagner, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Zhaoya Pan, Jonas Utz, Georg Schett, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier

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.

Leonid Mill, Oliver Aust, Jochen A. Ackermann, Philipp Burger, Monica Pascual, Katrin Palumbo-Zerr, Gerhard Krönke, Stefan Uderhardt, Georg Schett, Christoph S. Clemen, Rolf Schröder, Christian Holtzhausen, Samir Jabari, Andreas K. Maier, Anika Grüneboom

CoRR, 2022

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

Fabian Wagner, Mareike Thies, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Mayank Patwari, Stefan B. Ploner, Oliver Aust, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier

CoRR, 2022

Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network.

Oliver Aust, Mareike Thies, DanielaWeidner, Fabian Wagner, Sabrina Pechmann, Leonid Mill, Darja Andreev, Ippei Miyagawa, Gerhard Krönke, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier, Anika Grüneboom

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022