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ORCIDJonathan Ganz
- > Home > Persons > Jonathan Ganz
Publications
- 2024
[j1]Marc Aubreville
, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, 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. Medical Image Anal. 94: 103155 (2024)- [c12]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: 123-128 - [c11]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 - [c10]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: 137-142 - [c9]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: 143-148 - [i11]Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville:
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) - 2023
- [c8]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: 189-195 - [c7]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: 220-225 - [c6]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: 226-231 - [c5]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: 330-335 - [i7]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 abs/2309.15589 (2023) - [i6]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) - [i5]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
- [c4]Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville:
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI 2022: 201-205 - [i4]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) - [i3]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 abs/2212.07721 (2022) - [i2]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)
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