| Adapt everywhere: unsupervised adaptation of point-clouds and entropy minimization for multi-modal cardiac image segmentation S Vesal, M Gu, R Kosti, A Maier, N Ravikumar IEEE Transactions on Medical Imaging 40 (7), 1838-1851, 2021 | 48 | 2021 |
| Ultralow‐parameter denoising: trainable bilateral filter layers in computed tomography F Wagner, M Thies, M Gu, Y Huang, S Pechmann, M Patwari, S Ploner, ... Medical physics 49 (8), 5107-5120, 2022 | 27 | 2022 |
| On the benefit of dual-domain denoising in a self-supervised low-dose CT setting F Wagner, M Thies, L Pfaff, O Aust, S Pechmann, D Weidner, N Maul, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 19 | 2023 |
| Spatio-temporal multi-task learning for cardiac MRI left ventricle quantification S Vesal, M Gu, A Maier, N Ravikumar IEEE Journal of Biomedical and Health Informatics 25 (7), 2698-2709, 2020 | 18 | 2020 |
| Trainable joint bilateral filters for enhanced prediction stability in low-dose CT F Wagner, M Thies, F Denzinger, M Gu, M Patwari, S Ploner, N Maul, ... Scientific Reports 12 (1), 17540, 2022 | 17 | 2022 |
| Few-shot unsupervised domain adaptation for multi-modal cardiac image segmentation M Gu, S Vesal, R Kosti, A Maier Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 14 | 2022 |
| Gradient-based geometry learning for fan-beam CT reconstruction M Thies, F Wagner, N Maul, L Folle, M Meier, M Rohleder, LS Schneider, ... Physics in Medicine & Biology 68 (20), 205004, 2023 | 12 | 2023 |
| Calibration by differentiation–Self‐supervised calibration for X‐ray microscopy using a differentiable cone‐beam reconstruction operator M Thies, F Wagner, Y Huang, M Gu, L Kling, S Pechmann, O Aust, ... Journal of microscopy 287 (2), 81-92, 2022 | 11 | 2022 |
| Monte Carlo dose simulation for in-vivo X-ray nanoscopy F Wagner, M Thies, M Karolczak, S Pechmann, Y Huang, M Gu, L Kling, ... Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 9 | 2022 |
| EAGLE: an edge-aware gradient localization enhanced loss for CT image reconstruction Y Sun, Y Huang, Z Yang, LS Schneider, M Thies, M Gu, S Mei, S Bayer, ... Journal of Medical Imaging 12 (1), 014001-014001, 2025 | 5 | 2025 |
| Learned cone-beam ct reconstruction using neural ordinary differential equations M Thies, F Wagner, M Gu, L Folle, L Felsner, A Maier 7th international conference on image formation in X-ray computed tomography …, 2022 | 5 | 2022 |
| Data-driven filter design in fbp: Transforming ct reconstruction with trainable fourier series Y Sun, LS Schneider, F Fan, M Thies, M Gu, S Mei, Y Zhou, S Bayer, ... arXiv preprint arXiv:2401.16039, 2024 | 4 | 2024 |
| Noise2contrast: Multi-contrast fusion enables self-supervised tomographic image denoising F Wagner, M Thies, L Pfaff, N Maul, S Pechmann, M Gu, J Utz, O Aust, ... International Conference on Information Processing in Medical Imaging, 771-782, 2023 | 4 | 2023 |
| A gradient-based approach to fast and accurate head motion compensation in cone-beam CT M Thies, F Wagner, N Maul, H Yu, MG Meier, LS Schneider, M Gu, S Mei, ... IEEE Transactions on Medical Imaging, 2024 | 2 | 2024 |
| Confuda: Contrastive fewshot unsupervised domain adaptation for medical image segmentation M Gu, S Vesal, M Thies, Z Pan, F Wagner, M Rusu, A Maier, R Kosti arXiv preprint arXiv:2206.03888, 2022 | 2 | 2022 |
| Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation M Gu, M Thies, S Mei, F Wagner, M Fan, Y Sun, Z Pan, S Vesal, R Kosti, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| Reference-Free Multi-Modality Volume Registration of X-Ray Microscopy and Light-Sheet Fluorescence Microscopy S Mei, F Fan, M Thies, M Gu, F Wagner, O Aust, I Erceg, Z Mirzaei, ... arXiv preprint arXiv:2404.14807, 2024 | 1 | 2024 |
| Segmentation-guided knee radiograph generation using conditional diffusion models S Mei, F Fan, F Wagner, M Thies, M Gu, Y Sun, A Maier arXiv preprint arXiv:2404.03541, 2024 | 1 | 2024 |
| Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model A Raghunath, F Wagner, M Thies, M Gu, S Pechmann, O Aust, D Weidner, ... BVM Workshop, 76-81, 2023 | 1 | 2023 |
| Compensating CBCT Motion Artifacts with Any 2D Generative Model Y Sun, LS Schneider, M Gu, S Mei, S Bayer, A Maier | | 2025 |
