Search Results - Aubreville, Marc

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  1. 1
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    Computer-Aided Tumor Diagnosis of Microscopy Images
    by Aubreville, Marc 1982-

    Published 2020
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    Thesis/Dissertation Electronic eBook


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  2. 2
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    Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
    by Wilm, Frauke, Fragoso, Marco, Marzahl, Christian, Qiu, Jingna, Puget, Chloé, Diehl, Laura, Bertram, Christof A., Klopfleisch, Robert, Maier, Andreas 1980-, Breininger, Katharina, Aubreville, Marc 1982-

    Published 2023
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  3. 3
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    Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region
    by Aubreville, Marc, Bertram, Christof A., Marzahl, Christian, Gurtner, Corinne, Dettwiler, Martina, Schmidt, Anja, Bartenschlager, Florian, Merz, Sophie, Fragoso, Marco, Kershaw, Olivia, Klopfleisch, Robert, Maier, Andreas

    Published 2020
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  4. 4
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    Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry
    by Wilm, Frauke, Ihling, Christian, Méhes, Gábor, Terracciano, Luigi, Puget, Chloé, Klopfleisch, Robert, Schüffler, Peter, Aubreville, Marc, Maier, Andreas, Mrowiec, Thomas, Breininger, Katharina

    Published 2023
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  5. 5
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    EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control
    by Marzahl, Christian, Aubreville, Marc, Bertram, Christof A., Maier, Jennifer, Bergler, Christian, Kröger, Christine, Voigt, Jörn, Breininger, Katharina, Klopfleisch, Robert, Maier, Andreas

    Published 2022
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  6. 6
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    A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
    by Aubreville, Marc, Bertram, Christof A., Donovan, Taryn A., Marzahl, Christian, Maier, Andreas 1980-, Klopfleisch, Robert

    Published 2020
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  7. 7
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    Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
    by Marzahl, Christian, Aubreville, Marc, Bertram, Christof A., Stayt, Jason, Jasensky, Anne-Katherine, Bartenschlager, Florian, Fragoso-Garcia, Marco, Barton, Ann K., Elsemann, Svenja, Jabari, Samir, Krauth, Jens, Madhu, Prathmesh, Voigt, Jörn, Hill, Jenny, Klopfleisch, Robert, Maier, Andreas

    Published 2020
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  8. 8
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    Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
    by Aubreville, Marc, Knipfer, Christian, Oetter, Nicolai, Jaremenko, Christian, Rodner, Erik, Denzler, Joachim, Bohr, Christopher, Neumann, Helmut, Stelzle, Florian, Maier, Andreas

    Published 2017
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  9. 9
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    Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens
    by Marzahl, Christian, Hill, Jenny, Stayt, Jason, Bienzle, Dorothee, Welker, Lutz, Wilm, Frauke, Voigt, Jörn, Aubreville, Marc, Maier, Andreas, Klopfleisch, Robert, Breininger, Katharina, Bertram, Christof A.

    Published 2022
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  10. 10
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    Mitosis Domain Generalization and Diabetic Retinopathy Analysis: MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings

    Published 2023
    Other Authors: “…Aubreville, Marc…”
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  11. 11
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    Biomedical image registration, domain generalisation and out-of-distribution analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27–October 1, 2021, proceedings

    Published 2022
    Other Authors: “…Aubreville, Marc 1982-…”
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    Electronic Conference Proceedings eBook


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  12. 12
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    Biomedical image registration, domain generalisation and out-of-distribution analysis: MICCAI 2021 challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27 - October 1, 2021 : proceedings

    Published 2022
    Other Authors: “…Aubreville, Marc 1982-…”
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    Conference Proceedings Book


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  13. 13
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    Mitosis domain generalization and diabetic retinopathy analysis: MICCAI challenges MIDOG 2022 and DRAC 2022, held in conjunction with MICCAI 2022, Singapore, September 18-22, 2022 : proceedings

    Published 2023
    Other Authors: “…Aubreville, Marc 1982-…”
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