Search Results - "Schirris, Yoni"

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

“…•DeepSMILE is a deep learning method for histology requiring only weak labels.•A histology-specific encoder pre-trained with SimCLR extracts meaningful…”
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HRD-related morphology discovery in breast cancer by controlling for confounding factors by Schirris, Yoni, Horlings, Hugo Mark

“…Lazard et al.1 predict homologous recombination deficiency from hematoxylin and eosin-stained slides of breast cancer tissue using deep learning. By…”
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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

“…Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides of colorectal cancer (CRC). However, it is unclear whether…”
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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

“…Latent diffusion models (LDMs) have emerged as a state-of-the-art image generation method, outperforming previous Generative Adversarial Networks (GANs) in…”
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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

“…Medical Image Analysis Volume 79, July 2022, 102464 We propose a Deep learning-based weak label learning method for analyzing whole slide images (WSIs) of…”
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WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need by Schirris, Yoni, Engelaer, Mendel, Panteli, Andreas, Horlings, Hugo Mark, Gavves, Efstratios, Teuwen, Jonas

“…We present WeakSTIL, an interpretable two-stage weak label deep learning pipeline for scoring the percentage of stromal tumor infiltrating lymphocytes (sTIL%)…”
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