Bildgebende Charakterisierung und Quantifizierung der Vaskulogenese bei Arthritis. - Svitlana Gayetskyy; Oleg Museyko; Andreas Hess 001; Georg Schett; Klaus Engelke (Bildverarbeitung für die Medizin, 2013)

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)

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)

Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis - A Pilot Study. - Uday Phutane; Anna-Maria Liphardt; Johanna Bräunig; Johann Penner; Michael Klebl; Koray Tascilar; Martin Vossiek; Arnd Kleyer; Georg Schett; Sigrid Leyendecker (Sensors, 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)

Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed Tomography. - 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 (CoRR, 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)

Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae. - 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; et al. (Bildverarbeitung für die Medizin, 2023)

Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model. - 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 (Bildverarbeitung für die Medizin, 2023)

ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty. - Vanessa Wirth 001; Anna-Maria Liphardt; Birte Coppers; Johanna Bräunig; Simon Heinrich; Sigrid Leyendecker; Arnd Kleyer; Georg Schett; Martin Vossiek; Bernhard Egger 001; Marc Stamminger (ICCV (Workshops), 2023)

Deepnapsi: Deep Learning for Nail Psoriasis Prediction. - Lukas Folle; Pauline Fenzl; Filippo Fagni; Mareike Thies; Vincent Christlein; Christine Meder; Michael Sticherling; David Simon; Georg Schett; Andreas Maier 001; Arnd Kleyer (ISBI, 2023)

Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy. - 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 (CoRR, 2023)

ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty. - Vanessa Wirth 001; Anna-Maria Liphardt; Birte Coppers; Johanna Bräunig; Simon Heinrich; Arnd Kleyer; Georg Schett; Martin Vossiek; Bernhard Egger 001; Marc Stamminger (CoRR, 2023)

Exploring Epipolar Consistency Conditions. - 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; et al. (Bildverarbeitung für die Medizin, 2024)

ExSMART-PreRA: Explainable Survival and Risk Assessment Using Machine Learning for Time Estimation in Preclinical Rheumatoid Arthritis. - Fatemeh Salehi; Sara Bayat; Georg Schett; Arnd Kleyer; Thomas Altstidl; Bjoern M. Eskofier (IEEE J. Biomed. Health Informatics, 2025)