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)

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)