Katharina Breininger
Katharina Breininger
Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen
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
752018
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
222018
Frangi-net
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018, 341-346, 2018
152018
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
142018
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
122017
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
92019
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
62018
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
52019
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
52017
Iliac artery deformation during EVAR
G Koutouzi, M Pfister, K Breininger, M Hellström, H Roos, M Falkenberg
Vascular 27 (5), 511-517, 2019
42019
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
42018
Efficient Epipolar Consistency.
A Aichert, K Breininger, T Köhler, AK Maier
Bildverarbeitung für die Medizin, 372, 2018
42018
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
32018
Rewiring of neuronal networks during synaptic silencing
JK Wrosch, V von Einem, K Breininger, M Dahlmanns, A Maier, ...
Scientific reports 7 (1), 1-13, 2017
32017
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
F Denzinger, M Wels, K Breininger, A Reidelshöfer, J Eckert, M Sühling, ...
Bildverarbeitung für die Medizin 2020, 193-198, 2020
22020
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
22019
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, 109492K, 2019
22019
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model
T Geimer, P Keall, K Breininger, V Caillet, M Dunbar, C Bert, A Maier
German Conference on Pattern Recognition, 583-594, 2018
22018
A deep learning approach for reconstruction filter kernel discretization
C Syben, B Stimpel, K Breininger, T Würfl, R Fahrig, A Dörfler, A Maier
arXiv preprint arXiv:1710.06287, 2017
22017
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation
W Fu, K Breininger, Z Pan, A Maier
arXiv preprint arXiv:1911.02660, 2019
12019
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