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Jonas Ammeling
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Journal Articles
- 2025
- [j2]Jonathan Ganz
, Jonas Ammeling
Re-identification from histopathology images. Medical Image Anal. 99: 103335 (2025) - 2024
- [j1]Marc Aubreville
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 94: 103155 (2024)
Conference and Workshop Papers
- 2024
- [c9]Jonas Ammeling, Moritz Hecker, Jonathan Ganz
Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. Bildverarbeitung für die Medizin 2024: 123-128 - [c8]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: 136 - [c7]Jonathan Ganz
Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. Bildverarbeitung für die Medizin 2024: 137-142 - [c6]Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. Bildverarbeitung für die Medizin 2024: 143-148 - 2023
- [c5]Marc Aubreville, Jonathan Ganz
Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin 2023: 189-195 - [c4]Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin 2023: 220-225 - [c3]Jonathan Ganz
Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. Bildverarbeitung für die Medizin 2023: 226-231 - [c2]Jonas Ammeling
Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. MuC 2023: 330-335 - 2022
- [c1]Jonas Ammeling, Frauke Wilm, Jonathan Ganz
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI 2022: 201-205
Informal and Other Publications
- 2024
- [i12]Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger:
Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR abs/2402.08276 (2024) - [i11]Jonathan Ganz
Re-identification from histopathology images. CoRR abs/2403.12816 (2024) - [i10]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Christopher C. Kaltenecker, Christof A. Bertram:
Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis. CoRR abs/2404.07676 (2024) - [i9]Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Barbara Richter, Chloé Puget, Daniela Denk, Elena A. Demeter, Flaviu A. Tabaran, Gabriel Wasinger, Karoline Lipnik, Marco Tecilla, Matthew J. Valentine, Michael J. Dark, Niklas Abele, Pompei Bolfa, Ramona Erber, Robert Klopfleisch, Sophie Merz, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. CoRR abs/2406.19899 (2024) - [i8]Emely Rosbach, Jonathan Ganz, Jonas Ammeling, Andreas Riener, Marc Aubreville:
Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology. CoRR abs/2411.00998 (2024) - [i7]Emely Rosbach, Jonas Ammeling, Sebastian Krügel, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Chloé Puget, Taryn A. Donovan, Andrea Klang, Maximilian C. Köller, Pompei Bolfa, Marco Tecilla, Daniela Denk, Matti Kiupel, Georgios Paraschou, Mun Keong Kok, Alexander F. H. Haake, Ronald R. de Krijger, Andreas F.-P. Sonnen, Tanit Kasantikul, Gerry M. Dorrestein, Rebecca C. Smedley, Nikolas Stathonikos, Matthias Uhl, Christof A. Bertram, Andreas Riener, Marc Aubreville:
When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. CoRR abs/2411.01007 (2024) - 2023
- [i6]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - [i5]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 abs/2311.07216 (2023) - [i4]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 abs/2311.08949 (2023) - 2022
- [i3]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 abs/2212.05900 (2022) - [i2]Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. CoRR abs/2212.07721 (2022) - [i1]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 abs/2212.07724 (2022)
Coauthor Index
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