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Learning with Known Operators reduces Maximum Training Error Bounds., , , , , , , , , and . CoRR, (2019)Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems., , , , , and . CoRR, (2020)SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data., , , , , , , , , and 5 other author(s). CoRR, (2022)Towards In-Vivo X-Ray Nanoscopy - The Effect of Motion on Image Quality., , , , , , , and . Bildverarbeitung für die Medizin, page 115-120. Springer Vieweg, (2018)Towards Mouse Bone X-ray Microscopy Scan Simulation., , , , , , , and . Bildverarbeitung für die Medizin, page 128-133. Springer, (2021)Cephalogram synthesis and landmark detection in dental cone-beam CT systems., , , , , and . Medical Image Anal., (2021)Learning with known operators reduces maximum error bounds., , , , , , , , , and . Nat. Mach. Intell., 1 (8): 373-380 (2019)Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation., , , , , , , , , and 5 other author(s). CoRR, (2020)Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network., , , , , , , , , and 3 other author(s). Bildverarbeitung für die Medizin, page 333-338. Springer, (2022)Semi-permeable Filters for Interior Region of Interest Dose Reduction in X-ray Microscopy., , , , , , , , , and . Bildverarbeitung für die Medizin, page 61-66. Springer, (2021)