Nikolas Stathonikos
Orcid: 0000-0002-5457-7580
According to our database1,
Nikolas Stathonikos
authored at least 16 papers
between 2018 and 2024.
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Bibliography
2024
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.
Medical Image Anal., 2024
When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology.
CoRR, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Dataset, January, 2023
Medical Image Anal., 2023
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
CoRR, 2022
2021
2020
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images.
CoRR, 2020
Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical Image Anal., 2019
2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018