| 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 | 260 | 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 | 115 | 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 | 92 | 2023 |
| Frangi-net W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ... Bildverarbeitung für die Medizin 2018, 341-346, 2018 | 45 | 2018 |
| 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 | 38 | 2022 |
| 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 | 34 | 2021 |
| Mitosis domain generalization challenge M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ... Zenodo, DOI: http://doi.org/10.5281/zenodo.4573978, 2021 | 31 | 2021 |
| 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 | 31 | 2018 |
| Mitosis domain generalization challenge 2022 M Aubreville, C Bertram, K Breininger, S Jabari, N Stathonikos, M Veta 25th International Conference on Medical Image Computing and Computer …, 2022 | 28 | 2022 |
| 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 | 28 | 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 | 28 | 2017 |
| Domain adversarial RetinaNet as a reference algorithm for the MItosis DOmain generalization challenge F Wilm, C Marzahl, K Breininger, M Aubreville International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 27 | 2021 |
| 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 | 27 | 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 | 22 | 2019 |
| Advanced neural networks for classification of MRI in psoriatic arthritis, seronegative, and seropositive rheumatoid arthritis L Folle, S Bayat, A Kleyer, F Fagni, LA Kapsner, M Schlereth, ... Rheumatology 61 (12), 4945-4951, 2022 | 21 | 2022 |
| A comprehensive multi-domain dataset for mitotic figure detection M Aubreville, F Wilm, N Stathonikos, K Breininger, TA Donovan, S Jabari, ... Scientific Data 10 (1), 484, 2023 | 20 | 2023 |
| 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 |
| Robust Quad-Tree based Registration on Whole Slide Images C Marzahl, F Wilm, L Tharun, S Perner, CA Bertram, C Kröger, J Voigt, ... MICCAI Workshop on Computational Pathology, 181-190, 2021 | 13 | 2021 |
| 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 | 13 | 2020 |
| Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset F Wilm, M Fragoso, C Marzahl, J Qiu, C Puget, L Diehl, CA Bertram, ... Scientific Data 9 (1), 1-13, 2022 | 12 | 2022 |
Andreas K. MaierUniversity of Erlangen-Nuremberg在 fau.de 的电子邮件经过验证
