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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
2012018
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
802018
Frangi-net
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018, 341-346, 2018
292018
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
242019
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
242018
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
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
212021
Mitosis domain generalization challenge
M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ...
Zenodo, DOI: http://doi.org/10.5281/zenodo.4573978, 2021
202021
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
192019
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
142021
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
132018
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
122023
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
122022
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
122019
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
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
92022
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
9*2019
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
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
82017
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