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2020 – today
- 2024
[j2]Martin J. Hetz, Tabea-Clara Bucher
, Titus J. Brinker:
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images. Medical Image Anal. 94: 103149 (2024)- [i6]Tirtha Chanda, Sarah Haggenmüller, Tabea-Clara Bucher, Tim Holland-Letz, Harald Kittler, Philipp Tschandl, Markus V. Heppt, Carola Berking, Jochen S. Utikal, Bastian Schilling, Claudia Buerger, Cristian Navarrete-Dechent, Matthias Goebeler, Jakob Nikolas Kather, Carolin V. Schneider, Benjamin Durani, Hendrike Durani, Martin Jansen, Juliane Wacker, Joerg Wacker, Reader Study Consortium, Titus J. Brinker:
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study. CoRR abs/2409.13476 (2024) - 2023
- [j1]Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker:
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. Medical Image Anal. 89: 102914 (2023) - [c2]Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker:
Pitfalls of Conformal Predictions for Medical Image Classification. UNSURE@MICCAI 2023: 198-207 - [i5]Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker:
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. CoRR abs/2301.01054 (2023) - [i4]Martin J. Hetz, Tabea-Clara Bucher, Titus J. Brinker:
Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images. CoRR abs/2301.09431 (2023) - [i3]Tirtha Chanda, Katja Hauser, Sarah Hobelsberger, Tabea-Clara Bucher, Carina Nogueira Garcia, Christoph Wies, Harald Kittler, Philipp Tschandl, Cristian Navarrete-Dechent, Sebastian Podlipnik, Emmanouil Chousakos, Iva Crnaric, Jovana Majstorovic, Linda Alhajwan, Tanya Foreman, Sandra Peternel, Sergei Sarap, Irem Özdemir, Raymond L. Barnhill, Mar Llamas Velasco, Gabriela Poch, Sören Korsing, Wiebke Sondermann, Frank Friedrich Gellrich, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Matthias Goebeler, Bastian Schilling, Jochen S. Utikal, Kamran Ghoreschi, Stefan Fröhling, Eva Krieghoff-Henning, Titus J. Brinker:
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma. CoRR abs/2303.12806 (2023) - [i2]Christoph Wies, Lucas Schneider, Sarah Haggenmüller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V. Heppt, Gerardo Ferrara, Eva Krieghoff-Henning, Titus J. Brinker:
Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study. CoRR abs/2309.03494 (2023) - [i1]Alexander Kurz, Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker:
On the calibration of neural networks for histological slide-level classification. CoRR abs/2312.09719 (2023) - 2021
- [c1]Tabea-Clara Bucher, Xuehui Jiang, Ole Meyer, Stephan Waitz, Sven Hertling, Heiko Paulheim:
scikit-learn Pipelines Meet Knowledge Graphs - The Python kgextension Package. ESWC (Satellite Events) 2021: 9-14
Coauthor Index
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