Taryn A. Donovan

According to our database1, Taryn A. Donovan authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images.
CoRR, 2024

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Mitosis domain generalization in histopathology images - The MIDOG challenge.
Medical Image Anal., 2023

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard.
CoRR, 2023

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors.
CoRR, 2023

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images.
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

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Mitosis domain generalization in histopathology images - The MIDOG challenge.
CoRR, 2022

2021

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment.
CoRR, 2020

Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset.
CoRR, 2020


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