Wafer Direct Bonding: From Advanced Substrate Engineering to Future Applications in Micro/Nanoelectronics. - Silke H. Christiansen; Rajendra Singh; Ulrich Gosele (Proc. IEEE, 2006)

Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality. - Leonid Mill; Bastian Bier; Christopher Syben; Lasse Kling; Anika Klingberg; Silke H. Christiansen; Georg Schett; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Towards In-Vivo X-Ray Nanoscopy - Acquisition Parameters vs. Image Quality. - Leonid Mill; Lasse Kling; Anika Grüneboom; Georg Schett; Silke H. Christiansen; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Learning with Known Operators reduces Maximum Training Error Bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (CoRR, 2019)

Learning with known operators reduces maximum error bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (Nat. Mach. Intell., 2019)

Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. - Leonid Mill; David Wolff 003; Nele Gerrits; Patrick Philipp; Lasse Kling; Florian Vollnhals; Andrew Ignatenko; Christian Jaremenko; Yixing Huang; Olivier De Castro; Jean-Nicolas Audinot; Inge Nelissen; et al. (CoRR, 2020)

Towards Mouse Bone X-ray Microscopy Scan Simulation. - Weilin Fu; Leonid Mill; Stephan Seitz; Tobias Geimer; Lasse Kling; Dennis Possart; Silke H. Christiansen; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy. - Yixing Huang; Leonid Mill; Robert Stoll; Lasse Kling; Oliver Aust; Fabian Wagner; Anika Grüneboom; Georg Schett; Silke H. Christiansen; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

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; et al. (Bildverarbeitung für die Medizin, 2022)

Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. - Fabian Wagner; Mareike Thies; Marek Karolczak; Sabrina Pechmann; Yixing Huang; Mingxuan Gu; Lasse Kling; Daniela Weidner; Oliver Aust; Georg Schett; Silke H. Christiansen; Andreas K. Maier (Bildverarbeitung für die Medizin, 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)

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)

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 (Bildverarbeitung für die Medizin, 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)

Keynote: 4-D+ nanoSCOPE Project. - Silke H. Christiansen (Bildverarbeitung für die Medizin, 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; et al. (Bildverarbeitung für die Medizin, 2024)

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)