Search Results - Schirris, Yoni

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  1. 1
    DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

    DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer by Schirris, Yoni, Gavves, Efstratios, Nederlof, Iris, Horlings, Hugo Mark, Teuwen, Jonas

    Published in Medical image analysis
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  2. 2
    HRD-related morphology discovery in breast cancer by controlling for confounding factors

    HRD-related morphology discovery in breast cancer by controlling for confounding factors by Schirris, Yoni, Horlings, Hugo Mark

    Published in Cell reports. Medicine
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  3. 3
    Examining the persuasiveness of text and voice agents: prosody aligned with information structure increases human-likeness, perceived personalisation and brand attitude

    Examining the persuasiveness of text and voice agents: prosody aligned with information structure increases human-likeness, perceived personalisation and brand attitude by Voorveld, Hilde, Panteli, Andreas, Schirris, Yoni, Ischen, Carolin, Kanoulas, Evangelos, Lentz, Tom

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  4. 4
    Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

    Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study by Niehues, Jan Moritz, Quirke, Philip, West, Nicholas P., Grabsch, Heike I., van Treeck, Marko, Schirris, Yoni, Veldhuizen, Gregory P., Hutchins, Gordon G.A., Richman, Susan D., Foersch, Sebastian, Brinker, Titus J., Fukuoka, Junya, Bychkov, Andrey, Uegami, Wataru, Truhn, Daniel, Brenner, Hermann, Brobeil, Alexander, Hoffmeister, Michael, Kather, Jakob Nikolas

    Published in Cell reports. Medicine
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  5. 5
    Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance

    Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance by Niehues, Jan M., Müller-Franzes, Gustav, Schirris, Yoni, Wagner, Sophia Janine, Jendrusch, Michael, Kloor, Matthias, Pearson, Alexander T., Muti, Hannah Sophie, Hewitt, Katherine J., Veldhuizen, Gregory P., Zigutyte, Laura, Truhn, Daniel, Kather, Jakob Nikolas

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  6. 6
    DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

    DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer by Schirris, Yoni, Gavves, Efstratios, Nederlof, Iris, Horlings, Hugo Mark, Teuwen, Jonas

    Published in arXiv.org
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  7. 7
    WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

    WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need by Schirris, Yoni, Mendel Engelaer, Panteli, Andreas, Horlings, Hugo Mark, Gavves, Efstratios, Teuwen, Jonas

    Published in arXiv.org
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