Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. - Sulaiman Vesal; Mingxuan Gu; Ronak Kosti; Andreas Maier 001; Nishant Ravikumar (CoRR, 2021)

A hybrid compression method for the NMR data based on window averaging and Discrete Cosine Transform. - Mingxuan Gu; Ranhong Xie; Guowen Jin; Liang Shao (Comput. Geosci., 2021)

Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. - Sulaiman Vesal; Mingxuan Gu; Andreas Maier 001; Nishant Ravikumar (IEEE J. Biomed. Health Informatics, 2021)

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. - Sulaiman Vesal; Mingxuan Gu; Ronak Kosti; Andreas Maier 001; Nishant Ravikumar (IEEE Trans. Medical Imaging, 2021)

Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. - Mingxuan Gu; Sulaiman Vesal; Ronak Kosti; Andreas K. Maier (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)

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)

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)

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)

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)

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)

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)

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)

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)

Filter2Noise: Interpretable Self-Supervised Single-Image Denoising for Low-Dose CT with Attention-Guided Bilateral Filtering. - Yipeng Sun; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Chengze Ye; Fabian Wagner; Siming Bayer; Andreas K. Maier (CoRR, 2025)

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction. - Yipeng Sun; Linda-Sophie Schneider; Chengze Ye; Mingxuan Gu; Siyuan Mei; Siming Bayer; Andreas K. Maier (CoRR, 2025)