Veterinärmedizinische Universität Wien (Vetmeduni Vienna) / University of Veterinary Medicine, Vienna

University / College


Location: Wien / Vienna, Austria (AT) AT

ISNI: 0000000096866466

ROR: https://ror.org/01w6qp003

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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Unpublished / Preprint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

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) () Cossarizza A, Acs A, Adam D, Adam-Klages S, Agace WW, Aghaeepour N, Akdis M, et al. Journal article Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides (2025) Puget C, Ganz J, Ostermaier J, Conrad T, Parlak E, Bertram CA, Kiupel M, et al. Journal article Is Self-supervision Enough?: Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification (2025) Ganz J, Ammeling J, Rosbach E, Lausser L, Bertram CA, Breininger K, Aubreville M Conference contribution Lethal Borna disease virus 1 infections of humans and animals – in-depth molecular epidemiology and phylogeography (2024) Ebinger A, Santos PD, Pfaff F, Dürrwald R, Kolodziejek J, Schlottau K, Ruf V, et al. Journal article 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 Breast cancer survival prediction using an automated mitosis detection pipeline (2024) Stathonikos N, Aubreville M, de Vries S, Wilm F, Bertram CA, Veta M, van Diest PJ Journal article 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 Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning (2024) Ganz J, Puget C, Ammeling J, Parlak E, Kiupel M, Bertram CA, Breininger K, et al. Conference contribution, Conference Contribution 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
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