Tabea-Clara Bucher

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Acquired Knowledge

Image Classification

Top Venues

Medical Image Anal.

ESWC (Satellite Events)

Publications

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 (2024)
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 (2023)
Alexander Kurz, Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker
On the calibration of neural networks for histological slide-level classification. CoRR (2023)
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 (2023)
Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker
Pitfalls of Conformal Predictions for Medical Image Classification. UNSURE@MICCAI (2023)
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 (2023)
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 (2023)
Hendrik A. Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise. CoRR (2023)
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)