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Jakob Dexl
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2020 – today
- 2024
- [i5]Tobias Weber, Jakob Dexl, David Rügamer, Michael Ingrisch:
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition. CoRR abs/2404.09683 (2024) - 2023
- [j1]Marc Aubreville
, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - 2022
- [i4]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i3]Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports. CoRR abs/2212.14882 (2022) - 2021
- [c3]Petr Kuritcyn, Carol I. Geppert, Markus Eckstein
Robust Slide Cartography in Colon Cancer Histology - Evaluation on a Multi-scanner Database. Bildverarbeitung für die Medizin 2021: 229-234 - [c2]Jessica Deuschel, Daniel Firmbach, Carol I. Geppert, Markus Eckstein
Multi-Prototype Few-shot Learning in Histopathology. ICCVW 2021: 620-628 - [c1]Jakob Dexl
MitoDet: Simple and Robust Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 53-57 - [i2]Frauke Wilm, Michaela Benz, Volker Bruns
Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification. CoRR abs/2106.15893 (2021) - [i1]Jakob Dexl, Michaela Benz, Volker Bruns, Petr Kuritcyn, Thomas Wittenberg:
MitoDet: Simple and robust mitosis detection. CoRR abs/2109.01485 (2021)
Coauthor Index
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