| 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 | 18 | 2022 |
| Length-dependence of light-induced currents in graphene T Boolakee, C Heide, F Wagner, C Ott, M Schlecht, J Ristein, HB Weber, ... Journal of Physics B: Atomic, Molecular and Optical Physics 53 (15), 154001, 2020 | 15 | 2020 |
| Intensity interferometry-based 3D imaging F Wagner, F Schiffers, F Willomitzer, O Cossairt, A Velten Optics Express 29 (4), 4733-4745, 2021 | 11 | 2021 |
| 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 | 9 | 2023 |
| 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 | 9 | 2022 |
| 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 | 9 | 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 | 8 | 2023 |
| 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 | 8 | 2022 |
| Deep learning for terahertz image denoising in nondestructive historical document analysis B Dutta, K Root, I Ullmann, F Wagner, M Mayr, M Seuret, M Thies, ... Scientific Reports 12 (1), 22554, 2022 | 4 | 2022 |
| Semi-permeable filters for interior region of interest dose reduction in X-ray microscopy Y Huang, L Mill, R Stoll, L Kling, O Aust, F Wagner, A Grüneboom, ... Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 4 | 2021 |
| 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 | 3 | 2022 |
| Tibia cortical bone segmentation in micro-CT and X-ray microscopy data using a single neural network O Aust, M Thies, DanielaWeidner, FabianWagner, S Pechmann, L Mill, ... Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 3 | 2022 |
| Transient hemodynamics prediction using an efficient octree-based deep learning model N Maul, K Zinn, F Wagner, M Thies, M Rohleder, L Pfaff, M Kowarschik, ... International Conference on Information Processing in Medical Imaging, 183-194, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
| A gradient-based approach to fast and accurate head motion compensation in cone-beam CT M Thies, F Wagner, N Maul, H Yu, M Meier, LS Schneider, M Gu, S Mei, ... arXiv preprint arXiv:2401.09283, 2024 | 1 | 2024 |
| Optimizing CT Scan Geometries With and Without Gradients M Thies, F Wagner, N Maul, L Pfaff, LS Schneider, C Syben, A Maier arXiv preprint arXiv:2302.06251, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Intensity interferometry-based depth ranging F Wagner, F Schiffers, F Willomitzer, O Cossairt, A Velten Computational Optical Sensing and Imaging, CTh3C. 5, 2020 | 1 | 2020 |
| 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 | | 2024 |
| Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images M Thies, N Maul, S Mei, L Pfaff, N Vysotskaya, M Gu, J Utz, D Possart, ... arXiv preprint arXiv:2404.14747, 2024 | | 2024 |
Andreas K. MaierUniversity of Erlangen-NurembergVerified email at fau.de
