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Katharina Breininger

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

19

Venues

5

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

19 indexed papers, newest first.

YearVenueTitleAuthors
2026WACVDecomposition Sampling for Efficient Region Annotations in Active Learning.Jingna Qiu, Frauke Wilm, Mathias ttl, Jonas Utz, Maja Schlereth, Moritz Schillinger, Marc Aubreville, Katharina Breininger
2025MICCAIMitosis Domain Generalization (MIDOG) Challenge 2025 Baselines.Sweta Banerjee, Jonas Ammeling, Viktoria Weiss, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025MICCAIHASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift.Jingsong Liu, Han Li, Chen Yang, Michael Deutges, Ario Sadafi, Xin You, Katharina Breininger, Nassir Navab, Peter J. Schffler
2025MICCAIFaster, Self-supervised Super-Resolution for Anisotropic Multi-view MRI Using a Sparse Coordinate Loss.Maja Schlereth, Moritz Schillinger, Katharina Breininger
2024ECCVStyle-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation.Mathias ttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rbner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2024MICCAILeveraging Image Captions for Selective Whole Slide Image Annotation.Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias ttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2023MICCAIAdaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.Jingna Qiu, Frauke Wilm, Mathias ttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023MICCAIWhole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.Glejdis Shkmbi, Johanna P. Mller, Zhe Li, Katharina Breininger, Peter J. Schffler, Bernhard Kainz
2022MICCAIReference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge.Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville
2022MICCAIA Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT.Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier
2021MICCAIDomain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge.Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
2020MICCAIMove Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair.Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas K. Maier
2020MICCAIAutomatic CAD-RADS Scoring Using Deep Learning.Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Glsn, Max Schbinger, Florian Andr, Sebastian Bu, Johannes Grich, Michael Shling, Andreas K. Maier
2019MICCAICoronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics.Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshfer, Joachim Eckert, Michael Shling, Axel Schmermund, Andreas Maier
2019MICCAIA Divide-and-Conquer Approach Towards Understanding Deep Networks.Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2018ICIPLearning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests.Aline Sindel, Katharina Breininger, Johannes Ker, Andreas Hess, Andreas K. Maier, Thomas Khler
2018ICPRMyocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification.Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Alexander Brost, Christoph Forman, Andreas K. Maier
2018MICCAIMultiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning.Katharina Breininger, Tobias Wrfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier
2018MICCAISome Investigations on Robustness of Deep Learning in Limited Angle Tomography.Yixing Huang, Tobias Wrfl, Katharina Breininger, Ling Liu, Gnter Lauritsch, Andreas K. Maier