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ORCIDSilke H. Christiansen
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Journal Articles
- 2019
[j2]Andreas K. Maier
, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. 1(8): 373-380 (2019)- 2006
- [j1]Silke H. Christiansen, Rajendra Singh, Ulrich Gosele:
Wafer Direct Bonding: From Advanced Substrate Engineering to Future Applications in Micro/Nanoelectronics. Proc. IEEE 94(12): 2060-2106 (2006)
Conference and Workshop Papers
- 2024
- [c10]Silke H. Christiansen:
Keynote: 4-D+ nanoSCOPE Project. Bildverarbeitung für die Medizin 2024: 2 - [c9]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:
Exploring Epipolar Consistency Conditions. Bildverarbeitung für die Medizin 2024: 211-216 - 2023
- [c8]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:
Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. Bildverarbeitung für die Medizin 2023: 76-81 - [c7]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:
Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. Bildverarbeitung für die Medizin 2023: 254-259 - 2022
- [c6]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:
Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. Bildverarbeitung für die Medizin 2022: 107-112 - [c5]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:
Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network. Bildverarbeitung für die Medizin 2022: 333-338 - 2021
- [c4]Yixing Huang, Leonid Mill, Robert Stoll, Lasse Kling, Oliver Aust, Fabian Wagner, Anika Grüneboom, Georg Schett, Silke H. Christiansen, Andreas Maier:
Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy. Bildverarbeitung für die Medizin 2021: 61-66 - [c3]Weilin Fu, Leonid Mill, Stephan Seitz, Tobias Geimer, Lasse Kling, Dennis Possart, Silke H. Christiansen, Andreas Maier:
Towards Mouse Bone X-ray Microscopy Scan Simulation. Bildverarbeitung für die Medizin 2021: 128-133 - 2019
- [c2]Leonid Mill, Lasse Kling, Anika Grüneboom, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Towards In-Vivo X-Ray Nanoscopy - Acquisition Parameters vs. Image Quality. Bildverarbeitung für die Medizin 2019: 251-256 - 2018
- [c1]Leonid Mill, Bastian Bier, Christopher Syben, Lasse Kling, Anika Klingberg, Silke H. Christiansen, Georg Schett, Andreas K. Maier:
Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality. Bildverarbeitung für die Medizin 2018: 115-120
Informal and Other Publications
- 2023
- [i4]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:
Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. CoRR abs/2303.00449 (2023) - 2022
- [i3]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:
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. CoRR abs/2201.10345 (2022) - 2020
- [i2]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:
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation. CoRR abs/2011.10505 (2020) - 2019
- [i1]Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with Known Operators reduces Maximum Training Error Bounds. CoRR abs/1907.01992 (2019)
Coauthor Index
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