| Real‐time scatter estimation for medical CT using the deep scatter estimation: method and robustness analysis with respect to different anatomies, dose levels, tube voltages … J Maier, E Eulig, T Vöth, M Knaup, J Kuntz, S Sawall, M Kachelrieß Medical physics 46 (1), 238-249, 2019 | 95 | 2019 |
| Deep learning‐based coronary artery motion estimation and compensation for short‐scan cardiac CT J Maier, S Lebedev, J Erath, E Eulig, S Sawall, E Fournié, K Stierstorfer, ... Medical Physics 48 (7), 3559-3571, 2021 | 25 | 2021 |
| Real‐time estimation of patient‐specific dose distributions for medical CT using the deep dose estimation J Maier, L Klein, E Eulig, S Sawall, M Kachelrieß Medical physics 49 (4), 2259-2269, 2022 | 21 | 2022 |
| Real-time patient-specific CT dose estimation using a deep convolutional neural network J Maier, E Eulig, S Dorn, S Sawall, M Kachelrieß 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018 | 19 | 2018 |
| Deep learning‐based reconstruction of interventional tools and devices from four X‐ray projections for tomographic interventional guidance E Eulig, J Maier, M Knaup, NR Bennett, K Hörndler, AS Wang, ... Medical physics 48 (10), 5837-5850, 2021 | 12 | 2021 |
| Diagvib-6: A diagnostic benchmark suite for vision models in the presence of shortcut and generalization opportunities E Eulig, P Saranrittichai, CK Mummadi, K Rambach, W Beluch, X Shi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 7 | 2021 |
| Assumption violations in causal discovery and the robustness of score matching F Montagna, A Mastakouri, E Eulig, N Noceti, L Rosasco, D Janzing, ... Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Deep learning-aided CBCT image reconstruction of interventional material from four x-ray projections E Eulig, J Maier, NR Bennett, M Knaup, K Hörndler, A Wang, ... Medical Imaging 2020: Physics of Medical Imaging 11312, 378-384, 2020 | 6 | 2020 |
| Coronary artery motion compensation for short-scan cardiac CT using a spatial transformer network J Maier, S Lebedev, E Eulig, S Sawall, E Fourni, K Stierstorfer, ... Proceedings of the 6th International Conference on Image Formation in X-Ray …, 2020 | 5 | 2020 |
| Learned digital subtraction angiography (Deep DSA): method and application to lower extremities E Eulig, J Maier, M Knaup, T Koenig, K Hörndler, M Kachelrieß 15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019 | 3 | 2019 |
| Toward Falsifying Causal Graphs Using a Permutation-Based Test E Eulig, AA Mastakouri, P Blöbaum, M Hardt, D Janzing arXiv preprint arXiv:2305.09565, 2023 | 2 | 2023 |
| Real‐time 3D reconstruction of guidewires and stents using two update X‐ray projections in a rotating imaging setup T Vöth, T Koenig, E Eulig, M Knaup, V Wiesmann, K Hörndler, ... Medical Physics 50 (9), 5312-5330, 2023 | 1 | 2023 |
| Learning CT scatter estimation without labeled data: a feasibility study J Maier, L Jordan, E Eulig, F Jäger, S Sawall, M Knaup, M Kachelrieß 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 1 | 2022 |
| 3D reconstruction of stents and guidewires in an anthropomorphic phantom from three x-ray projections T Vöth, T König, E Eulig, M Knaup, V Wiesmann, K Hörndler, ... 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 1 | 2022 |
| Reconstructing invariances of CT image denoising networks using invertible neural networks E Eulig, B Ommer, M Kachelrieß 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 1 | 2022 |
| Real-time 3D reconstruction of multiple guidewires at dose values of conventional 2D fluoroscopy T Vöth, T König, E Eulig, M Knaup, K Hörndler, M Kachelrieß Medical Imaging 2022: Physics of Medical Imaging 12031, 405-409, 2022 | 1 | 2022 |
| May denoising remove structures? How to reconstruct invariances of CT denoising algorithms E Eulig, J Maier, B Ommer, M Kachelrieß Medical Imaging 2024: Physics of Medical Imaging 12925, 23-28, 2024 | | 2024 |
| Training of a deep learning based digital subtraction angiography method using synthetic data L Duan, E Eulig, M Knaup, R Adamus, M Lell, M Kachelrieß Medical Physics, 2024 | | 2024 |
| Benchmarking Deep Learning-Based Low Dose CT Image Denoising Algorithms E Eulig, B Ommer, M Kachelrieß arXiv preprint arXiv:2401.04661, 2024 | | 2024 |
Marc KachelrießProfessor of X-Ray Imaging and CTVerified email at nefkom.net
