| Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ... IEEE transactions on medical imaging 37 (6), 1454-1463, 2018 | 212 | 2018 |
| Some investigations on robustness of deep learning in limited angle tomography Y Huang, T Würfl, K Breininger, L Liu, G Lauritsch, A Maier Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 86 | 2018 |
| Frangi-net W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ... Bildverarbeitung für die Medizin 2018, 341-346, 2018 | 31 | 2018 |
| Mitosis domain generalization challenge M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ... Zenodo, DOI: http://doi.org/10.5281/zenodo.4573978, 2021 | 25 | 2021 |
| Coronary artery plaque characterization from CCTA scans using deep learning and radiomics F Denzinger, M Wels, N Ravikumar, K Breininger, A Reidelshöfer, J Eckert, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 25 | 2019 |
| Precision learning: reconstruction filter kernel discretization C Syben, B Stimpel, K Breininger, T Würfl, R Fahrig, A Dörfler, A Maier arXiv preprint arXiv:1710.06287, 2017 | 25 | 2017 |
| Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair K Breininger, S Albarqouni, T Kurzendorfer, M Pfister, M Kowarschik, ... International journal of computer assisted radiology and surgery 13 (8 …, 2018 | 24 | 2018 |
| Mitosis domain generalization in histopathology images—The MIDOG challenge M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ... Medical Image Analysis 84, 102699, 2023 | 22 | 2023 |
| EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control C Marzahl, M Aubreville, CA Bertram, J Maier, C Bergler, C Kröger, ... Scientific reports 11 (1), 4343, 2021 | 22 | 2021 |
| A divide-and-conquer approach towards understanding deep networks W Fu, K Breininger, R Schaffert, N Ravikumar, A Maier Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 19 | 2019 |
| Quantifying the Scanner-Induced Domain Gap in Mitosis Detection M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ... arXiv preprint arXiv:2103.16515, 2021 | 15 | 2021 |
| Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy CA Bertram, M Aubreville, TA Donovan, A Bartel, F Wilm, C Marzahl, ... Veterinary pathology 59 (2), 211-226, 2022 | 14 | 2022 |
| Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification T Kurzendorfer, K Breininger, S Steidl, A Brost, C Forman, A Maier 2018 24th International Conference on Pattern Recognition (ICPR), 3168-3173, 2018 | 14 | 2018 |
| projection-to-projection translation for Hybrid X-ray and Magnetic Resonance imaging B Stimpel, C Syben, T Würfl, K Breininger, P Hoelter, A Dörfler, A Maier Scientific Reports 9 (1), 18814, 2019 | 12 | 2019 |
| Mitosis domain generalization challenge (2021) M Aubreville, C Bertram, K Breininger, S Jabari, N Stathonikos, M Veta 25th International Conference on Medical Image Computing and Computer …, 2022 | 11 | 2022 |
| Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th … H Liao, S Balocco, G Wang, F Zhang, Y Liu, Z Ding, L Duong, R Phellan, ... Springer Nature, 2019 | 11* | 2019 |
| Multiple device segmentation for fluoroscopic imaging using multi-task learning K Breininger, T Würfl, T Kurzendorfer, S Albarqouni, M Pfister, ... Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018 | 11 | 2018 |
| Projection image-to-image translation in hybrid X-ray/MR imaging B Stimpel, C Syben, T Würfl, K Breininger, JM Lommen, A Dörfler, A Maier Medical Imaging 2019: Image Processing 10949, 650-655, 2019 | 9 | 2019 |
| Learning from a handful volumes: MRI resolution enhancement with volumetric super-resolution forests A Sindel, K Breininger, J Käßer, A Hess, A Maier, T Köhler 2018 25th IEEE International Conference on Image Processing (ICIP), 1453-1457, 2018 | 9 | 2018 |
| Automatic CAD-RADS scoring using deep learning F Denzinger, M Wels, K Breininger, MA Gülsün, M Schöbinger, F André, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 8 | 2020 |
Andreas K. MaierUniversity of Erlangen-NurembergVerified email at fau.de
