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Katharina Breininger
Katharina Breininger
Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität
Verified email at fau.de
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Cited by
Cited by
Year
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
1902018
Some investigations on robustness of deep learning in limited angle tomography
Y Huang, T Würfl, K Breininger, L Liu, G Lauritsch, A Maier
International Conference on Medical Image Computing and Computer-Assisted …, 2018
722018
Frangi-net
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018, 341-346, 2018
262018
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
252018
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
242017
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
F Denzinger, M Wels, N Ravikumar, K Breininger, A Reidelshöfer, J Eckert, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
202019
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), 1-11, 2021
182021
Mitosis domain generalization challenge
M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ...
Zenodo, DOI: http://doi.org/10.5281/zenodo.4573978, 2021
182021
A Divide-and-Conquer Approach Towards Understanding Deep Networks
W Fu, K Breininger, R Schaffert, N Ravikumar, A Maier
International Conference on Medical Image Computing and Computer-Assisted …, 2019
182019
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
112018
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
112018
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), 1-10, 2019
102019
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
92021
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
92019
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
92018
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
82022
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
8*2019
Mitosis domain generalization in histopathology images--The MIDOG challenge
M Aubreville, N Stathonikos, CA Bertram, R Klopleisch, N ter Hoeve, ...
arXiv preprint arXiv:2204.03742, 2022
72022
Efficient Epipolar Consistency.
A Aichert, K Breininger, T Köhler, AK Maier
Bildverarbeitung für die Medizin, 372, 2018
72018
Frangi-Net: a neural network approach to vessel segmentation
W Fu, K Breininger, T Würfl, N Ravikumar, R Schaffert, A Maier
arXiv preprint arXiv:1711.03345, 2017
72017
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