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)

Cephalogram synthesis and landmark detection in dental cone-beam CT systems. - Yixing Huang; Fuxin Fan; Christopher Syben; Philipp Roser; Leonid Mill; Andreas Maier 001 (Medical Image Anal., 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)

SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data. - Leonid Mill; Oliver Aust; Jochen A. Ackermann; Philipp Burger; Monica Pascual; Katrin Palumbo-Zerr; Gerhard Krönke; Stefan Uderhardt; Georg Schett; Christoph S. Clemen; Rolf Schröder; Christian Holtzhausen; et al. (CoRR, 2022)

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)

A COCO-Formatted Instance-Level Dataset for Plasmodium Falciparum Detection in Giemsa-Stained Blood Smears. - Frauke Wilm; Luis Carlos Rivera Monroy; Mathias Öttl; Lukas Mürdter; Leonid Mill; Andreas K. Maier (CoRR, 2025)