A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance. - Mareike Thies; Jan-Nico Zäch; Cong Gao 003; Russell H. Taylor; Nassir Navab; Andreas Maier 001; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2020)

A County-level Dataset for Informing the United States' Response to COVID-19. - Benjamin D. Killeen; Jie Ying Wu; Kinjal Shah; Anna Zapaishchykova; Philipp Nikutta; Aniruddha Tamhane; Shreya Chakraborty; Jinchi Wei; Tiger Gao; Mareike Thies; Mathias Unberath (CoRR, 2020)

Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography. - Gabriel Herl; Jochen Hiller; Mareike Thies; Jan-Nico Zaech; Mathias Unberath; Andreas K. Maier (IEEE Trans. Computational Imaging, 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)

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)

Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations. - Mareike Thies; Fabian Wagner; Mingxuan Gu; Lukas Folle; Lina Felsner; Andreas K. Maier (CoRR, 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)

ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation. - Mingxuan Gu; Sulaiman Vesal; Mareike Thies; Zhaoya Pan; Fabian Wagner; Mirabela Rusu; Andreas K. Maier; Ronak Kosti (CoRR, 2022)

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. - Fabian Wagner; Mareike Thies; Felix Denzinger; Mingxuan Gu; Mayank Patwari; Stefan B. Ploner; Noah Maul; Laura Pfaff; Yixing Huang; Andreas K. Maier (CoRR, 2022)

Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. - Mareike Thies; Fabian Wagner; Noah Maul; Lukas Folle; Manuela Meier; Maximilian Rohleder; Linda-Sophie Schneider; Laura Pfaff; Mingxuan Gu; Jonas Utz; Felix Denzinger; Michael Manhart 001; 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)

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. - Jonas Utz; Maja Schlereth; Jingna Qiu; Mareike Thies; Fabian Wagner; Oumaima B. Brahim; Mingxuan Gu; Stefan Uderhardt; Katharina Breininger (Bildverarbeitung für die Medizin, 2023)

Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT. - Fabian Wagner; Mareike Thies; Felix Denzinger; Mingxuan Gu; Mayank Patwari; Stefan B. Ploner; Noah Maul; Laura Pfaff; Yixing Huang; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. - Jonas Utz; Tobias Weise; Maja Schlereth; Fabian Wagner; Mareike Thies; Mingxuan Gu; Stefan Uderhardt; Katharina Breininger (ICCV (Workshops), 2023)

Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model. - Noah Maul; Katharina Zinn; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Laura Pfaff; Markus Kowarschik; Annette Birkhold; Andreas K. Maier (IPMI, 2023)

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising. - Fabian Wagner; Mareike Thies; Laura Pfaff; Noah Maul; Sabrina Pechmann; Mingxuan Gu; Jonas Utz; Oliver Aust; Daniela Weidner; Georgiana Neag; Stefan Uderhardt; Jang Hwan Choi 001; et al. (IPMI, 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)

Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Noah Maul; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas Maier 001 (ISBI, 2023)

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting. - Fabian Wagner; Mareike Thies; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Daniela Weidner; Noah Maul; Maximilian Rohleder; Mingxuan Gu; Jonas Utz; Felix Denzinger; Andreas Maier 001 (ISBI, 2023)

Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. - Maximilian Rohleder; Charlotte Pradel; Fabian Wagner; Mareike Thies; Noah Maul; Felix Denzinger; Andreas K. Maier; Björn W. Kreher (MICCAI (3), 2023)

Optimizing CT Scan Geometries With and Without Gradients. - Mareike Thies; Fabian Wagner; Noah Maul; Laura Pfaff; Linda-Sophie Schneider; Christopher Syben; Andreas K. Maier (CoRR, 2023)

Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography. - Fabian Wagner; Mareike Thies; Noah Maul; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Christopher Syben; Andreas K. Maier (CoRR, 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)

Task-based Generation of Optimized Projection Sets using Differentiable Ranking. - Linda-Sophie Schneider; Mareike Thies; Christopher Syben; Richard Schielein; Mathias Unberath; Andreas K. Maier (CoRR, 2023)

Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction. - Lena Augustin; Fabian Wagner; Mareike Thies; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model. - Noah Maul; Katharina Zinn; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Laura Pfaff; Markus Kowarschik; Annette Birkhold; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. - Maximilian Rohleder; Charlotte Pradel; Fabian Wagner; Mareike Thies; Noah Maul; Felix Denzinger; Andreas K. Maier; Björn W. Kreher (Bildverarbeitung für die Medizin, 2024)

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)

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. - Mareike Thies; Fabian Wagner; Noah Maul; Lukas Folle; Manuela Meier; Maximilian Rohleder; Linda-Sophie Schneider; Laura Pfaff; Mingxuan Gu; Jonas Utz; Felix Denzinger; Michael Manhart 001; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. - Fabian Wagner; Mareike Thies; Laura Pfaff; Oliver Aust; Sabrina Pechmann; Daniela Weidner; Noah Maul; Maximilian Rohleder; Mingxuan Gu; Jonas Utz; Felix Denzinger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. - Mingxuan Gu; Mareike Thies; Siyuan Mei; Fabian Wagner; Mingcheng Fan; Yipeng Sun; Zhaoya Pan; Sulaiman Vesal; Ronak Kosti; Dennis Possart; Jonas Utz; Andreas K. Maier (MICCAI (9), 2024)

Virtual DSA for Learning Contrast Agent Dynamics in Projection Space. - Noah Maul; Annette Birkhold; Mareike Thies; Nastassia Vysotskaya; Fabian Wagner; Laura Pfaff; Markus Kowarschik; Andreas K. Maier (SWITCH/ISLES@MICCAI, 2024)

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. - Laura Pfaff; Fabian Wagner; Nastassia Vysotskaya; Mareike Thies; Noah Maul; Siyuan Mei; Tobias Würfl; Andreas K. Maier (MICCAI (10), 2024)

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images. - Mareike Thies; Noah Maul; Siyuan Mei; Laura Pfaff; Nastassia Vysotskaya; Mingxuan Gu; Jonas Utz; Dennis Possart; Lukas Folle; Fabian Wagner; Andreas K. Maier (MICCAI (7), 2024)

Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction. - Noah Maul; Annette Birkhold; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Philipp Berg; Markus Kowarschik; Andreas K. Maier (Comput. Biol. Medicine, 2024)

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT. - Mareike Thies; Fabian Wagner; Noah Maul; Haijun Yu; Manuela Meier; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Lukas Folle; Andreas K. Maier (CoRR, 2024)

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series. - Yipeng Sun; Linda-Sophie Schneider; Fuxin Fan; Mareike Thies; Mingxuan Gu; Siyuan Mei; Yuzhong Zhou; Siming Bayer; Andreas K. Maier (CoRR, 2024)

Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction. - Noah Maul; Annette Birkhold; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Philipp Berg; Markus Kowarschik; Andreas K. Maier (CoRR, 2024)

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction. - Yipeng Sun; Yixing Huang; Linda-Sophie Schneider; Mareike Thies; Mingxuan Gu; Siyuan Mei; Siming Bayer; Andreas K. Maier (CoRR, 2024)

Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models. - Siyuan Mei; Fuxin Fan; Fabian Wagner; Mareike Thies; Mingxuan Gu; Yipeng Sun; Andreas K. Maier (CoRR, 2024)

Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy. - Siyuan Mei; Fuxin Fan; Mareike Thies; Mingxuan Gu; Fabian Wagner; Oliver Aust; Ina Erceg; Zeynab Mirzaei; Georgiana Neag; Yipeng Sun; Yixing Huang; Andreas Maier 001 (CoRR, 2024)

On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation. - Mareike Thies; Fabian Wagner; Noah Maul; Siyuan Mei; Mingxuan Gu; Laura Pfaff; Nastassia Vysotskaya; Haijun Yu; Andreas Maier 001 (CoRR, 2024)

DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits. - Chengze Ye; Linda-Sophie Schneider; Yipeng Sun; Mareike Thies; Siyuan Mei; Andreas Maier 001 (CoRR, 2024)

Multiple Source Translation Micro-CT Improves Both Field-of-View and Spatial Resolution. - Haijun Yu; Song Ni; Mareike Thies; Fabian Wagner; Yixing Huang; Fengling Liu; Andreas K. Maier (IEEE Trans. Instrum. Meas., 2024)

An interactive task-based method for the avoidance of metal artifacts in CBCT. - Maximilian Rohleder; Mareike Thies; Sophie Riedl; Benno Bullert; Jula Gierse; Maxim Privalov; Eric Mandelka; Sven Yves Vetter; Andreas K. Maier; Björn W. Kreher (Int. J. Comput. Assist. Radiol. Surg., 2024)

Abstract: Simulation-informed Learning for Time-resolved Angiographic Contrast Agent Concentration Reconstruction. - Noah Maul; Annette Birkhold; Fabian Wagner; Mareike Thies; Maximilian Rohleder; Philipp Berg; Markus Kowarschik; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

Learned Shift-variant CBCT Reconstruction Weights for Non-continuous Trajectories. - Chengze Ye; Linda-Sophie Schneider; Yipeng Sun; Mareike Thies; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

Unsupervised motion artifacts reduction for cone-beam CT via enhanced landmark detection. - Thanaporn Viriyasaranon; Serie Ma; Mareike Thies; Andreas Maier 001; Jang-Hwan Choi 001 (Expert Syst. Appl., 2025)

Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model. - Chengze Ye; Linda-Sophie Schneider; Yipeng Sun; Mareike Thies; Andreas K. Maier (CoRR, 2025)

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 Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT. - Mareike Thies; Fabian Wagner; Noah Maul; Haijun Yu; Manuela Goldmann; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Lukas Folle; Alexander Preuhs; Michael Manhart 001; Andreas K. Maier (IEEE Trans. Medical Imaging, 2025)

CyclePose - Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy. - Jonas Utz; Stefan Vocht; Anne Tjorven Buessen; Dennis Possart; Fabian Wagner; Mareike Thies; Mingxuan Gu; Stefan Uderhardt; Katharina Breininger (CoRR, 2025)

FIND-Net - Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction. - Farid Tasharofi; Fuxin Fan; Melika Qahqaie; Mareike Thies; Andreas K. Maier (CoRR, 2025)