Tabea-Clara Bucher

According to our database, Tabea-Clara Bucher authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images.

Martin J. Hetz, Tabea-Clara Bucher, Titus J. Brinker

Medical Image Anal., 2024

Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study.

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

CoRR, 2024

2023

Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise.

Hendrik Alexander Mehrtens, Alexander Kurz, Tabea-Clara Bucher, Titus J. Brinker

Medical Image Anal., October, 2023

On the calibration of neural networks for histological slide-level classification.

Alexander Kurz, Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker

CoRR, 2023

Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study.

Christoph Wies, Lucas Schneider, Sarah Haggenmüller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V. Heppt, Gerardo Ferrara, Eva Krieghoff-Henning, Titus J. Brinker

CoRR, 2023

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma.

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

CoRR, 2023

Pitfalls of Conformal Predictions for Medical Image Classification.

Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2021

scikit-learn Pipelines Meet Knowledge Graphs - The Python kgextension Package.

Tabea-Clara Bucher, Xuehui Jiang, Ole Meyer, Stephan Waitz, Sven Hertling, Heiko Paulheim

Proceedings of the Semantic Web: ESWC 2021 Satellite Events, 2021