Silke H. Christiansen

17 papers Journal 7Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling. CoRR Dennis Possart, Leonid Mill, Florian Vollnhals, Tor Hildebrand, Peter Suter, Mathis Hoffmann, Jonas Utz, Daniel Augsburger, Mareike Thies, Mingxuan Wu, Fabian Wagner, George Sarau, Silke H. Christiansen, Katharina Breininger
2024	—	`conf`	Exploring Epipolar Consistency Conditions. Bildverarbeitung für die Medizin 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
2024	—	`conf`	Keynote: 4-D+ nanoSCOPE Project. Bildverarbeitung für die Medizin Silke H. Christiansen
2023	—	`conf`	Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. Bildverarbeitung für die Medizin 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
2023	J	`jnl`	Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. CoRR 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
2023	—	`conf`	Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. Bildverarbeitung für die Medizin 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
2022	—	`conf`	Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. Bildverarbeitung für die Medizin 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
2022	—	`conf`	Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network. Bildverarbeitung für die Medizin 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
2022	J	`jnl`	Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. CoRR 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
2021	—	`conf`	Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy. Bildverarbeitung für die Medizin Yixing Huang, Leonid Mill, Robert Stoll, Lasse Kling, Oliver Aust, Fabian Wagner, Anika Grüneboom, Georg Schett, Silke H. Christiansen, Andreas Maier
2021	—	`conf`	Towards Mouse Bone X-ray Microscopy Scan Simulation. Bildverarbeitung für die Medizin Weilin Fu, Leonid Mill, Stephan Seitz, Tobias Geimer, Lasse Kling, Dennis Possart, Silke H. Christiansen, Andreas Maier
2020	J	`jnl`	Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. CoRR Leonid Mill, David Wolff, Nele Gerrits, Patrick Philipp, Lasse Kling, Florian Vollnhals, Andrew Ignatenko, Christian Jaremenko, Yixing Huang, Olivier De Castro, Jean-Nicolas Audinot, Inge Nelissen, Tom Wirtz, Andreas Maier, Silke H. Christiansen
2019	J	`jnl`	Learning with Known Operators reduces Maximum Training Error Bounds. CoRR Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	J	`jnl`	Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	—	`conf`	Towards In-Vivo X-Ray Nanoscopy - Acquisition Parameters vs. Image Quality. Bildverarbeitung für die Medizin Leonid Mill, Lasse Kling, Anika Grüneboom, Georg Schett, Silke H. Christiansen, Andreas K. Maier
2018	—	`conf`	Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality. Bildverarbeitung für die Medizin Leonid Mill, Bastian Bier, Christopher Syben, Lasse Kling, Anika Klingberg, Silke H. Christiansen, Georg Schett, Andreas K. Maier
2006	J	`jnl`	Wafer Direct Bonding: From Advanced Substrate Engineering to Future Applications in Micro/Nanoelectronics. Proc. IEEE Silke H. Christiansen, Rajendra Singh, Ulrich Gosele