Katharina Breininger

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i10-index	30	30

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Andreas K. MaierUniversity of Erlangen-NurembergVerified email at fau.de
Marc AubrevilleProfessor at Flensburg University of Applied Sciences, Flensburg, GermanyVerified email at hs-flensburg.de
Christof BertramUniversity of Veterinary Medicine ViennaVerified email at vetmeduni.ac.at
Frauke WilmPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität ErlangenVerified email at fau.de
Tobias WürflSiemens HealthineersVerified email at siemens-healthineers.com
Christian MarzahlPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, GermanyVerified email at fau.de
Mathias UnberathJohns Hopkins UniversityVerified email at jhu.edu
Vincent ChristleinUniversity Erlangen-NurembergVerified email at fau.de
Yixing Huang (黄益星)Peking UniversityVerified email at pku.edu.cn
Felix DenzingerDr.-Ing., Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Markus KowarschikInnovation Team Lead at Siemens Healthcare GmbH & Guest Lecturer at TU MunichVerified email at in.tum.de
Mitko VetaAssociate Professor, Eindhoven University of TechnologyVerified email at tue.nl
Tanja KurzendorferFriedrich-Alexander University Erlangen-NurembergVerified email at fau.de
Nishant RavikumarLecturer, School of Computing, University of LeedsVerified email at leeds.ac.uk
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAIVerified email at uni-bonn.de
Bernhard StimpelFriedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Christopher SybenScientist, Siemens Healthcare GmbHVerified email at fau.de
Andreas M. KistAssistant Professor, FAU Erlangen-NürnbergVerified email at fau.de
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
André AichertSiemens Healthineers, Digital Technology & InnovationVerified email at informatik.uni-erlangen.de

Katharina Breininger

Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität

Verified email at fau.de

Machine Learning Medical Imaging Intraoperative Imaging Image Guidance Deformation Modelling


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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	271	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	118	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	106	2023
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	48	2022
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
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	41	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	33	2018
Mitosis domain generalization challenge M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ... Zenodo, DOI: http://doi.org/10.5281/zenodo.4573978, 2021	32	2021
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	31	2019
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	30	2021
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	29	2022
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	29	2021
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
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	26	2023
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	22	2022
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
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	16	2021
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	15	2022
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	14	2020
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

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