| Enabling machine learning in X-ray-based procedures via realistic simulation of image formation M Unberath, JN Zaech, C Gao, B Bier, F Goldmann, SC Lee, J Fotouhi, ... International journal of computer assisted radiology and surgery 14, 1517-1528, 2019 | 58 | 2019 |
| Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views B Bier, F Goldmann, JN Zaech, J Fotouhi, R Hegeman, R Grupp, ... International journal of computer assisted radiology and surgery 14, 1463-1473, 2019 | 43 | 2019 |
| An automated deep learning method for tile AO/OTA pelvic fracture severity grading from trauma whole-body CT D Dreizin, F Goldmann, C LeBedis, A Boscak, M Dattwyler, ... Journal of Digital Imaging 34, 53-65, 2021 | 33 | 2021 |
| Automated in-silico Phantoms for Atherosclerotic Plaque Classification Models from Spectral CT F Goldmann, M Meier, M Wels, T Allmendinger, M Sühling, A Maier 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC …, 2024 | | 2024 |
| OrdinalNet: A Deep Learning-based Relative Image Quality Metric for Motion Compensation in CBCT M Meier, M Manhart, A Preuhs, F Goldmann, M Kowarschik, A Maier 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC …, 2024 | | 2024 |
| Photon Counting-Based Metrics for Soft Tissue Differentiation in Coronary Plaque Analysis F Denzinger, F Goldmann, M Wels, M Schöbinger, J Neumann, ... 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC …, 2024 | | 2024 |
| Light field processing for media applications J Keinert, L Fink, F Goldmann, MSK Gul, T Jaschke, N Prappacher, ... Immersive Video Technologies, 227-264, 2023 | | 2023 |
