Katharina Breininger

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 117

Top Venues

CoRR

Bildverarbeitung für die Medizin

ISBI

Int. J. Comput. Assist. Radiol. Surg.

Publications

Chloé Puget, Jonathan Ganz, Julian Ostermaier, Thomas Konrad, Eda Parlak, Christof Albert Bertram, Matti Kiupel, Katharina Breininger, Marc Aubreville, Robert Klopfleisch
Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. CoRR (2024)
Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger
Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR (2024)
Jonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville
Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. Bildverarbeitung für die Medizin (2024)
Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Robert Klopfleisch, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Christof A. Bertram
Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. Bildverarbeitung für die Medizin (2024)
Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. Bildverarbeitung für die Medizin (2024)
Dominik Pysch, Maja Schlereth, Mihai Pomohaci, Peter Fischer, Katharina Breininger
Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning. Bildverarbeitung für die Medizin (2024)
Frauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger
Appearance-based Debiasing of Deep Learning Models in Medical Imaging. Bildverarbeitung für die Medizin (2024)
Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville
Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. Bildverarbeitung für die Medizin (2024)
Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. Bildverarbeitung für die Medizin (2024)
Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. Bildverarbeitung für die Medizin (2024)
Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger
Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. Bildverarbeitung für die Medizin (2024)
Christof A. Bertram, Christian Marzahl, Alexander Bartel, Jason Stayt, Federico Bonsembiante, Janet Beeler-Marfisi, Ann K. Barton, Ginevra Brocca, Maria E. Gelain, Agnes C. Gläsel, Kelly du Preez, Kristina Weiler, Christiane Weissenbacher-Lang, Katharina Breininger, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Jenny Hill
Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. Bildverarbeitung für die Medizin (2024)
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Bildverarbeitung für die Medizin (2023)
Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. MICCAI (2) (2023)
Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. Bildverarbeitung für die Medizin (2023)
Jonas Ammeling, Carina Manger, Elias Kwaka, Sebastian Krügel, Matthias Uhl, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Andreas Riener, Christof A. Bertram, Katharina Breininger, Marc Aubreville
Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. MuC (2023)
Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR (2023)
Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. ISBI (2023)
Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. CoRR (2023)
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. CoRR (2023)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin (2023)
Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville
Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. Bildverarbeitung für die Medizin (2023)
Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. CoRR (2023)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84 (2023)
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. ISBI (2023)
Anna-Maria Wölfl, Anne Schützenberger, Katharina Breininger, Andreas M. Kist
Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing. Biomed. Signal Process. Control. 86 (Part C) (2023)
Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram
Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin (2023)
Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Christof A. Bertram, Katharina Breininger, Marc Aubreville
Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. CoRR (2023)
Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. ISBI (2023)
Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin (2023)
Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas Maier
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks. CoRR (2023)
Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin (2023)
Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. CoRR (2023)
Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier
Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. Bildverarbeitung für die Medizin (2023)
Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR (2023)
Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. ISBI (2023)
Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI (2023)
Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. ICCV (Workshops) (2023)
Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier
A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT. MICCAI (2) (2022)
Nikolaus Arbogast, Holger Kunze, Florian Kordon, Benedict Swartman, Jan Siad El Barbari, Katharina Breininger
TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses. Bildverarbeitung für die Medizin (2022)
Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. CoRR (2022)
Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation. CoRR (2022)
Antonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger
Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. Bildverarbeitung für die Medizin (2022)
Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks. CoRR (2022)
Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. CoRR (2022)
Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC (2022)
Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. Bildverarbeitung für die Medizin (2022)
Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. CoRR (2022)
Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. CoRR (2022)
Weilin Fu, Lennart Husvogt, Katharina Breininger, Roman Schaffert, Omar Abu-Qamar, James G. Fujimoto, Andreas K. Maier
Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. Bildverarbeitung für die Medizin (2022)
Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. Bildverarbeitung für die Medizin (2022)
Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. CoRR (2022)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR (2022)
Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI (2022)
Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. Bildverarbeitung für die Medizin (2022)
Kubilay Can Demir, Matthias May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung Hee Yang
PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant using Interventional Radiology Workflow Analysis. CoRR (2022)
Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. CoRR (2022)
Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier
First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. Bildverarbeitung für die Medizin (2022)
Kubilay Can Demir, Matthias May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung Hee Yang
PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. TSD (2022)
Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. CoRR (2022)
Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. CoRR (2022)
Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger
Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology. CoRR (2022)
Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples. CoRR (2022)
Luisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
Iterative Cross-Scanner Registration for Whole Slide Images. ICCVW (2021)
Frauke Wilm, Katharina Breininger, Marc Aubreville
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. CoRR (2021)
Christian Marzahl, Jenny Hill, Jason Stayt, Dorothee Bienzle, Lutz Welker, Frauke Wilm, Jörn Voigt, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Katharina Breininger, Christof A. Bertram
Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. CoRR (2021)
Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
Automatic and explainable grading of meningiomas from histopathology images. CoRR (2021)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
Abstract: Automatic CAD-RADS Scoring using Deep Learning. Bildverarbeitung für die Medizin (2021)
Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. CoRR (2021)
Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
Automatic and explainable grading of meningiomas from histopathology images. COMPAY@MICCAI (2021)
Weilin Fu, Katharina Breininger, Roman Schaffert, Zhaoya Pan, Andreas K. Maier
"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. Int. J. Comput. Assist. Radiol. Surg. 16 (6) (2021)
Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas Maier
Abstract: Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. Bildverarbeitung für die Medizin (2021)
Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annabelle Heier, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Franziska Sebastian, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. Bildverarbeitung für die Medizin (2021)
Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. Bildverarbeitung für die Medizin (2021)
Christian Marzahl, Frauke Wilm, Franz F. Dressler, Lars Tharun, Sven Perner, Christof A. Bertram, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger
Robust Quad-Tree based Registration on Whole Slide Images. COMPAY@MICCAI (2021)
Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin (2021)
Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier
First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. CoRR (2021)
Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR (2021)
Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. CoRR (2021)
Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier
Degenerating U-Net on Retinal Vessel Segmentation. Bildverarbeitung für die Medizin (2020)
Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. CoRR (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. Bildverarbeitung für die Medizin (2020)
Azeem Bootwala, Katharina Breininger, Andreas K. Maier, Vincent Christlein
Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. Bildverarbeitung für die Medizin (2020)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
Automatic CAD-RADS Scoring Using Deep Learning. MICCAI (6) (2020)
Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas K. Maier
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. MICCAI (4) (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Bildverarbeitung für die Medizin (2020)
Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
Automatic CAD-RADS Scoring Using Deep Learning. CoRR (2020)
Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas Maier
Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. 14 (11) (2019)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR (2019)
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier
Projection image-to-image translation in hybrid x-ray/MR imaging. Medical Imaging: Image Processing (2019)
Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas K. Maier
3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. Bildverarbeitung für die Medizin (2019)
Nikolaus Arbogast, Tanja Kurzendorfer, Katharina Breininger, Peter Mountney, Daniel Toth, Srinivas Ananth Narayan, Andreas K. Maier
Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks. Bildverarbeitung für die Medizin (2019)
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. CoRR (2019)
Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR (2019)
Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. CoRR (2019)
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. MICCAI (4) (2019)
Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. CoRR (2019)
Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig
Left ventricle segmentation in LGE-MRI using multiclass learning. Medical Imaging: Image Processing (2019)

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Katharina Breininger