The Schwarzman Animal Medical Center (AMC)

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Location: New York, NY, United States (USA) (US) US

ISNI: 0000000406042279

ROR: https://ror.org/03kf3ks42


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

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Abstract

Journal

Author Correction: A comprehensive multi-domain dataset for mitotic figure detection (Scientific Data, (2023), 10, 1, (484), 10.1038/s41597-023-02327-4) (2024) Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan TA, Jabari S, Veta M, et al. Journal article, Erratum Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis (2024) Ganz J, Marzahl C, Ammeling J, Rosbach E, Richter B, Puget C, Denk D, et al. Journal article Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge (2024) Aubreville M, Stathonikos N, Donovan TA, Klopfleisch R, Ammeling J, Ganz J, Wilm F, et al. Journal article A comprehensive multi-domain dataset for mitotic figure detection (2023) Aubreville M, Wilm F, Stathonikos N, Breininger K, Donovan TA, Jabari S, Veta M, et al. Journal article Mitosis domain generalization in histopathology images — The MIDOG challenge (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Journal article Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images (2023) Ganz J, Lipnik K, Ammeling J, Richter B, Puget C, Parlak E, Diehl L, et al. Conference contribution Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images (2023) Fragoso-Garcia M, Wilm F, Bertram CA, Merz S, Schmidt A, Donovan T, Fuchs-Baumgartinger A, et al. Journal article Abstract: the MIDOG Challenge 2021 Mitosis Domain Generalization in Histopathology Images (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Conference contribution Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy (2022) Bertram CA, Aubreville M, Donovan TA, Bartel A, Wilm F, Marzahl C, Assenmacher CA, et al. Journal article Computer Assistance: A New Gold Standard for the Mitotic Count? (2022) Bertram CA, Aubreville M, Donovan TA, Bartel A, Wilm F, Marzahl C, Assenmacher CA, et al. Journal article