Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. - Mareike Thies; Fabian Wagner; Noah Maul; Lukas Folle; Manuela Meier; Maximilian Rohleder; Linda-Sophie Schneider; Laura Pfaff; Mingxuan Gu; Jonas Utz; Felix Denzinger; Michael Manhart 001; et al. (CoRR, 2022)

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; et al. (Bildverarbeitung für die Medizin, 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 (Bildverarbeitung für die Medizin, 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 (ICCV (Workshops), 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 001; et al. (IPMI, 2023)

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. - Fabian Wagner; Mareike Thies; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Daniela Weidner; Noah Maul; Maximilian Rohleder; Mingxuan Gu; Jonas Utz; Felix Denzinger; Andreas Maier 001 (ISBI, 2023)

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. - Mareike Thies; Fabian Wagner; Noah Maul; Lukas Folle; Manuela Meier; Maximilian Rohleder; Linda-Sophie Schneider; Laura Pfaff; Mingxuan Gu; Jonas Utz; Felix Denzinger; Michael Manhart 001; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. - Fabian Wagner; Mareike Thies; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Daniela Weidner; Noah Maul; Maximilian Rohleder; Mingxuan Gu; Jonas Utz; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. - Mingxuan Gu; Mareike Thies; Siyuan Mei; Fabian Wagner; Mingcheng Fan; Yipeng Sun; Zhaoya Pan; Sulaiman Vesal; Ronak Kosti; Dennis Possart; Jonas Utz; Andreas K. Maier (MICCAI (9), 2024)

Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (MICCAI (12), 2024)

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. - Mareike Thies; Noah Maul; Siyuan Mei; Laura Pfaff; Nastassia Vysotskaya; Mingxuan Gu; Jonas Utz; Dennis Possart; Lukas Folle; Fabian Wagner; Andreas K. Maier (MICCAI (7), 2024)

Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (Bildverarbeitung für die Medizin, 2025)

DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling. - Dennis Possart; Leonid Mill; Florian Vollnhals; Tor Hildebrand; Peter Suter; Mathis Hoffmann; Jonas Utz; Daniel Augsburger; Mareike Thies; Mingxuan Wu; Fabian Wagner; George Sarau; et al. (CoRR, 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, 2025)