| 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 | 14 | 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 | 13 | 2023 |
| 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 |
| 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 | 5 | 2023 |
| Self-supervised MRI denoising: leveraging Stein’s unbiased risk estimator and spatially resolved noise maps L Pfaff, J Hossbach, E Preuhs, F Wagner, S Arroyo Camejo, ... Scientific Reports 13 (1), 22629, 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 |
| Training a tunable, spatially adaptive denoiser without clean targets L Pfaff, J Hossbach, E Preuhs, T Wuerfl, SA Camejo, MD Nickel, A Maier Proceedings of the joint annual meeting ISMRM-ESMRMB, 2022 | 2 | 2022 |
| 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 |
| Integrating population data in a computerized Decision Support System for Head and Neck Cancer L Lopez-Perez, L Hernández, L Pfaff, A Trama, G Gatta, S Francisci, ... 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 1 | 2019 |
| Training Method for a System for De-Noising Images L Pfaff, T Würfl, MD Nickel, F Wagner US Patent App. 18/583,944, 2024 | | 2024 |
| Training Method for a System for De-Noising Images L Pfaff, T Würfl, MD Nickel, T Benkert US Patent App. 18/591,456, 2024 | | 2024 |
| On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation M Thies, F Wagner, N Maul, S Mei, M Gu, L Pfaff, N Vysotskaya, H Yu, ... arXiv preprint arXiv:2405.19079, 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 |
| Gradient-based Geometry Learning for Fan-beam CT Reconstruction M Thies, F Wagner, N Maul, L Folle, M Meier, M Rohleder, LS Schneider, ... BVM Workshop, 204-204, 2024 | | 2024 |
| Self-supervised CT Dual Domain Denoising using Low-parameter Models F Wagner, M Thies, L Pfaff, O Aust, S Pechmann, D Weidner, N Maul, ... BVM Workshop, 159-159, 2024 | | 2024 |
| 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, ... BVM Workshop, 63-63, 2023 | | 2023 |
| Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets L Pfaff, F Wagner, J Hossbach, E Preuhs, N Maul, M Thies, F Denzinger, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography F Wagner, M Thies, N Maul, L Pfaff, O Aust, S Pechmann, C Syben, ... arXiv preprint arXiv:2302.06436, 2023 | | 2023 |
| Joint Reconstruction of Image Repetitions in DWI using Cross-Instance Attention F Gadjimuradov, L Pfaff, T Benkert, MD Nickel, A Maier | | |
| Unsupervised denoising of prostate DWI L Pfaff, F Wagner, J Hossbach, E Preuhs, F Gadjimuradov, T Benkert, ... | | |
