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2024

Automated Mitotic Index Calculation via Deep Learning and ImmunohistochemistryJonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville. bildmed 2024: 123-128 [doi]

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck TumorsMarc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves. bildmed 2024: 143-148 [doi]

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure DetectionMarc 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. bildmed 2024: 136 [doi]

Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT AngiographyFelix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß 0001, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger. bildmed 2024: 116 [doi]

Assessment of Scanner Domain Shifts in Deep Multiple Instance LearningJonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville. bildmed 2024: 137-142 [doi]

Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural NetworksLuis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier. bildmed 2024: 160-165 [doi]

Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural PlanningDominik Pysch, Maja Schlereth, Mihai Pomohaci, Peter Fischer, Katharina Breininger. bildmed 2024: 279-284 [doi]

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic SegmentationJingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger. bildmed 2024: 11 [doi]

Appearance-based Debiasing of Deep Learning Models in Medical ImagingFrauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger. bildmed 2024: 19-24 [doi]

2023

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue MicroarraysJonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz 0015, Katharina Breininger, Marc Aubreville. bildmed 2023: 220-225 [doi]

Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision MakingJonas Ammeling, Carina Manger, Elias Kwaka, Sebastian Krügel, Matthias Uhl, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Andreas Riener, Christof A. Bertram, Katharina Breininger, Marc Aubreville. mc 2023: 330-335 [doi]

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object DetectorMarc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram. bildmed 2023: 189-195 [doi]

Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology ImagesMarc 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. bildmed 2023: 115 [doi]

Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT AngiographyFelix 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 0001, Katharina Breininger. isbi 2023: 1-5 [doi]

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology ImagesJonathan 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. bildmed 2023: 226-231 [doi]

Employing Graph Representations for Cell-Level Characterization of Melanoma MELC SamplesLuis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier 0001. isbi 2023: 1-5 [doi]

Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCTStefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier. bildmed 2023: 260 [doi]

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic SegmentationJingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger. miccai 2023: 90-100 [doi]

Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node MetastasisGlejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz. miccai 2023: 11-20 [doi]

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence MicroscopyJonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger. bildmed 2023: 82-87 [doi]

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGANJonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger. iccvw 2023: 3858-3866 [doi]

Lung, nodule, and airway segmentation using partially annotated dataAnne von Querfurth, Florian Kordon, Felix Denzinger, Katharina Breininger, Holger Kunze. miigp 2023: [doi]

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in HistopathologyFrauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier 0001, Marc Aubreville, Katharina Breininger. isbi 2023: 1-5 [doi]

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) DatasetFrauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville. bildmed 2023: 205 [doi]

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology DatasetFrauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville. bildmed 2023: 206-211 [doi]

Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensingAnna-Maria Wölfl, Anne Schützenberger, Katharina Breininger, Andreas M. Kist. bspc, 86(Part C):105335, September 2023. [doi]

Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative NetworksMathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier 0001, Ramona Erber, Katharina Breininger. isbi 2023: 1-5 [doi]

2022

Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 ChallengeJonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville. miccai 2023: 201-205 [doi]

TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN LossesNikolaus Arbogast, Holger Kunze, Florian Kordon, Benedict Swartman, Jan Siad El Barbari, Katharina Breininger. bildmed 2022: 135-140 [doi]

PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow AnalysisKubilay Can Demir, Matthias May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung-Hee Yang. TSD 2022: 464-475 [doi]

Form Follows Function - Smart Network Design Enables Zero-shot Network ReuseWeilin Fu, Lennart Husvogt, Katharina Breininger, Roman Schaffert, Omar Abu-Qamar, James G. Fujimoto, Andreas K. Maier. bildmed 2022: 121-126 [doi]

Direct and indirect image rotation estimation methods of orthopedic x-ray imagesHolger Kunze, Florian Kordon, Andreas Maier 0001, Katharina Breininger. miip 2022: [doi]

First Steps on Gamification of Lung Fluid Cells Annotations in the Flower DomainSonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier. bildmed 2022: 223-228 [doi]

A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCTStefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier 0001. miccai 2022: 517-527 [doi]

Thrombus Detection in Non-contrast Head CT Using Graph Deep LearningAntonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger. bildmed 2022: 153-158 [doi]

Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data AugmentationJingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier. embc 2022: 945-949 [doi]

Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic ImagingMaja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling. bildmed 2022: 285-290 [doi]

Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound ImagingMaja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst. bildmed 2022: 261-266 [doi]

Superpixel Pre-segmentation of HER2 Slides for Efficient AnnotationMathias 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. bildmed 2022: 254-259 [doi]

2021

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell TumorsChristof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier 0001, Robert Klopfleisch, Marc Aubreville. bildmed 2021: 134-139 [doi]

Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair (Maschinelles Lernen und Deformationsmodellierung zur Workflow-kompatiblen Bildfusion für endovaskuläre Aortenreparaturen)Katharina Breininger. PhD thesis, University of Erlangen-Nuremberg, Germany, 2021. [doi]

Abstract: Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic RepairKatharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas Maier 0001. bildmed 2021: 35 [doi]

Abstract: Automatic CAD-RADS Scoring using Deep LearningFelix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier 0001. bildmed 2021: 104 [doi]

"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imagingWeilin Fu, Katharina Breininger, Roman Schaffert, Zhaoya Pan, Andreas K. Maier. cars, 16(6):967-978, 2021. [doi]

Automatic and explainable grading of meningiomas from histopathology imagesJonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville. compay 2021: 69-80 [doi]

Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACTChristian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier 0001, Marc Aubreville. bildmed 2021: 147-152 [doi]

Robust Quad-Tree based Registration on Whole Slide ImagesChristian Marzahl, Frauke Wilm, Dressler Franz F., Lars Tharun, Sven Perner, Christof A. Bertram, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger. compay 2021: 181-190 [doi]

Iterative Cross-Scanner Registration for Whole Slide ImagesLuisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier 0001, Marc Aubreville, Katharina Breininger. iccvw 2021: 582-590 [doi]

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization ChallengeFrauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville. miccai 2022: 5-13 [doi]

2020

BildanalyseAndreas Maier 0001, Vincent Christlein, Katharina Breininger, Tobias Würfl, Mathias Unberath, Christian Riess. In Günther Görz, Ute Schmid, Tanya Braun, editors, Handbuch der Künstlichen Intelligenz, 6. Auflage. pages 673-712, De Gruyter, 2020. [doi]

Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image RetrievalAzeem Bootwala, Katharina Breininger, Andreas K. Maier, Vincent Christlein. bildmed 2020: 144-149 [doi]

Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic RepairKatharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas K. Maier. miccai 2020: 713-723 [doi]

Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and RadiomicsFelix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier. bildmed 2020: 200 [doi]

Automatic CAD-RADS Scoring Using Deep LearningFelix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier. miccai 2020: 45-54 [doi]

Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA ScansFelix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier. bildmed 2020: 193-198 [doi]

Abstract: Divide-And-Conquer Approach Towards Understanding Deep NetworksWeilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier. bildmed 2020: 313 [doi]

Degenerating U-Net on Retinal Vessel SegmentationWeilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier. bildmed 2020: 33-38 [doi]

2019

Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural NetworksNikolaus Arbogast, Tanja Kurzendorfer, Katharina Breininger, Peter Mountney, Daniel Toth 0001, Srinivas Ananth Narayan, Andreas K. Maier. bildmed 2019: 191-196 [doi]

Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repairKatharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas Maier 0001. cars, 14(11):1891-1899, 2019. [doi]

3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray ImageKatharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas K. Maier. bildmed 2019: 172-177 [doi]

Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle TomographyYixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier. bildmed 2019: 21 [doi]

Left ventricle segmentation in LGE-MRI using multiclass learningTanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig. miip 2019: 1094929 [doi]

Projection image-to-image translation in hybrid x-ray/MR imagingBernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier. miip 2019: [doi]

2018

Abstract: Efficient Epipolar ConsistencyAndré Aichert, Katharina Breininger, Thomas Köhler, Andreas K. Maier. bildmed 2018: 372 [doi]

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repairKatharina Breininger, Shadi Albarqouni, Tanja Kurzendorfer, Marcus Pfister, Markus Kowarschik, Andreas K. Maier. cars, 13(8):1221-1231, 2018. [doi]

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task LearningKatharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier. miccai 2018: 19-27 [doi]

Deep Learning FundamentalsKatharina Breininger, Vincent Christlein, Tobias Würfl, Andreas K. Maier. bildmed 2018: 5 [doi]

Frangi-NetWeilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier. bildmed 2018: 341-346 [doi]

Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear ModelTobias Geimer, Paul Keall, Katharina Breininger, Vincent Caillet, Michelle Dunbar, Christoph Bert, Andreas Maier 0001. dagm 2019: 583-594 [doi]

Some Investigations on Robustness of Deep Learning in Limited Angle TomographyYixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier. miccai 2018: 145-153 [doi]

Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest ClassificationTanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Alexander Brost, Christoph Forman, Andreas K. Maier. icpr 2018: 3168-3173 [doi]

Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution ForestsAline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas K. Maier, Thomas Köhler. icip 2018: 1453-1457 [doi]

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle ProblemsTobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixin Huang, Mathias Unberath, Andreas K. Maier. tmi, 37(6):1454-1463, 2018. [doi]

2014

Alae TrackerKatharina Breininger, Andreas K. Maier, Christoph Forman, Wilhelm Flatz, Catalina Meßmer, Maria Schuster. bildmed 2014: 336-341 [doi]

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