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Katharina Breininger
Katharina Breininger
Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität
Bestätigte E-Mail-Adresse bei fau.de
Titel
Zitiert von
Zitiert von
Jahr
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
2732018
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
1182018
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
1072023
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
482022
Frangi-net
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018, 341-346, 2018
452018
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
412021
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
332018
Mitosis domain generalization challenge
M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ...
Zenodo, DOI: http://doi.org/10.5281/zenodo.4573978, 2021
322021
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
302021
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
302019
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
292022
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
292021
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
282017
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
262023
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
222022
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
222019
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
162021
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
152022
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
142020
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
142018
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