Search Results - "Wagner, Sophia"

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  1. 1

    Innovation ecosystems as a service: Exploring the dynamics between corporates & start-ups in the context of a corporate coworking space by Aumüller-Wagner, Sophia, Baka, Vasiliki

    Published in Scandinavian journal of management (01-06-2023)
    “…The desire to create innovative organizational spaces has led to various instantiations of innovation ecosystems. Towards this direction, there is a growing…”
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    Journal Article
  2. 2

    The future landscape of large language models in medicine by Clusmann, Jan, Kolbinger, Fiona R., Muti, Hannah Sophie, Carrero, Zunamys I., Eckardt, Jan-Niklas, Laleh, Narmin Ghaffari, Löffler, Chiara Maria Lavinia, Schwarzkopf, Sophie-Caroline, Unger, Michaela, Veldhuizen, Gregory P., Wagner, Sophia J., Kather, Jakob Nikolas

    Published in Communications medicine (10-10-2023)
    “…Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public…”
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    Journal Article
  3. 3

    The native microbiome of the nematode Caenorhabditis elegans: gateway to a new host-microbiome model by Dirksen, Philipp, Marsh, Sarah Arnaud, Braker, Ines, Heitland, Nele, Wagner, Sophia, Nakad, Rania, Mader, Sebastian, Petersen, Carola, Kowallik, Vienna, Rosenstiel, Philip, Félix, Marie-Anne, Schulenburg, Hinrich

    Published in BMC biology (09-05-2016)
    “…Host-microbe associations underlie many key processes of host development, immunity, and life history. Yet, none of the current research on the central model…”
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    Journal Article
  4. 4

    Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study by Wagner, Sophia J., Reisenbüchler, Daniel, West, Nicholas P., Niehues, Jan Moritz, Zhu, Jiefu, Foersch, Sebastian, Veldhuizen, Gregory Patrick, Quirke, Philip, Grabsch, Heike I., van den Brandt, Piet A., Hutchins, Gordon G.A., Richman, Susan D., Yuan, Tanwei, Langer, Rupert, Jenniskens, Josien C.A., Offermans, Kelly, Mueller, Wolfram, Gray, Richard, Gruber, Stephen B., Greenson, Joel K., Rennert, Gad, Bonner, Joseph D., Schmolze, Daniel, Jonnagaddala, Jitendra, Hawkins, Nicholas J., Ward, Robyn L., Morton, Dion, Seymour, Matthew, Magill, Laura, Nowak, Marta, Hay, Jennifer, Koelzer, Viktor H., Church, David N., Church, David, Domingo, Enric, Edwards, Joanne, Glimelius, Bengt, Gogenur, Ismail, Harkin, Andrea, Hay, Jen, Iveson, Timothy, Jaeger, Emma, Kelly, Caroline, Kerr, Rachel, Maka, Noori, Morgan, Hannah, Oien, Karin, Orange, Clare, Palles, Claire, Roxburgh, Campbell, Sansom, Owen, Saunders, Mark, Tomlinson, Ian, Matek, Christian, Geppert, Carol, Peng, Chaolong, Zhi, Cheng, Ouyang, Xiaoming, James, Jacqueline A., Loughrey, Maurice B., Salto-Tellez, Manuel, Brenner, Hermann, Hoffmeister, Michael, Truhn, Daniel, Schnabel, Julia A., Boxberg, Melanie, Peng, Tingying, Kather, Jakob Nikolas

    Published in Cancer cell (11-09-2023)
    “…Deep learning (DL) can accelerate the prediction of prognostic biomarkers from routine pathology slides in colorectal cancer (CRC). However, current approaches…”
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    Journal Article
  5. 5

    Make deep learning algorithms in computational pathology more reproducible and reusable by Wagner, Sophia J., Matek, Christian, Shetab Boushehri, Sayedali, Boxberg, Melanie, Lamm, Lorenz, Sadafi, Ario, Waibel, Dominik J. E., Marr, Carsten, Peng, Tingying

    Published in Nature medicine (01-09-2022)
    “…Greater emphasis on reproducibility and reusability will advance computational pathology quickly and sustainably, ultimately optimizing clinical workflows and…”
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    Journal Article
  6. 6

    Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology by Wagner, Sophia J, Matek, Christian, Shetab Boushehri, Sayedali, Boxberg, Melanie, Lamm, Lorenz, Sadafi, Ario, Winter, Dominik J E, Marr, Carsten, Peng, Tingying

    Published in Modern pathology (01-01-2024)
    “…Recent progress in computational pathology has been driven by deep learning. While code and data availability are essential to reproduce findings from…”
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    Journal Article
  7. 7

    From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology by El Nahhas, Omar S M, van Treeck, Marko, Wölflein, Georg, Unger, Michaela, Ligero, Marta, Lenz, Tim, Wagner, Sophia J, Hewitt, Katherine J, Khader, Firas, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas

    Published in Nature protocols (16-09-2024)
    “…Hematoxylin- and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. In recent years, development of deep learning-based methods…”
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    Journal Article
  8. 8

    Feasibility of transcutaneous auricular vagus nerve stimulation in treatment of drug resistant epilepsy: A multicenter prospective study by Sabers, Anne, Aumüller-Wagner, Sophia, Christensen, Lars Rune, Henning, Oliver, Kostov, Konstantin, Lossius, Morten, Majoie, Marian, Mertens, Ann, Nielsen, Lene, Vonck, Kristl, Wagner, Louis

    Published in Epilepsy research (01-11-2021)
    “…•Long-term feasibility of transcutaneous auricular vagus nerve stimulation is modest.•Adherence to ta-VNS depends on the subject’s lifestyle and active…”
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    Journal Article
  9. 9

    Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation by Liu, Ye, Wagner, Sophia J, Peng, Tingying

    Published in Journal of imaging (11-03-2022)
    “…Annotating microscopy images for nuclei segmentation by medical experts is laborious and time-consuming. To leverage the few existing annotations, also across…”
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    Journal Article
  10. 10

    Approaching Peak Ground Truth by Kofler, Florian, Wahle, Johannes, Ezhov, Ivan, Wagner, Sophia J., Al-Maskari, Rami, Gryska, Emilia, Todorov, Mihail, Bukas, Christina, Meissen, Felix, Peng, Tingying, Erturk, Ali, Rueckert, Daniel, Heckemann, Rolf, Kirschke, Jan, Zimmer, Claus, Wiestler, Benedikt, Menze, Bjoern, Piraud, Marie

    “…Machine learning models are typically evaluated by computing similarity with reference annotations and trained by maximizing similarity with such. Especially…”
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    Conference Proceeding
  11. 11

    Curvature bounds on length-minimizing discs by Lytchak, Alexander, Wagner, Sophia

    Published in Geometriae dedicata (01-04-2024)
    “…We show that a length-minimizing disk inherits the upper curvature bound of the target. As a consequence we prove that harmonic discs and ruled discs inherit…”
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    Journal Article
  12. 12

    Cryptic changes in immune response and fitness in Tribolium castaneum as a consequence of coevolution with Beauveria bassiana by Rafaluk-Mohr, Charlotte, Wagner, Sophia, Joop, Gerrit

    Published in Journal of invertebrate pathology (01-02-2018)
    “…[Display omitted] •Phenoloxidase activity is specifically upregulated under certain conditions as a consequence of host-parasite coevolution.•No changes in…”
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    Journal Article
  13. 13

    Antagonistic species interaction drives selection for sex in a predator–prey system by Koch, Hanna R., Wagner, Sophia, Becks, Lutz

    Published in Journal of evolutionary biology (01-09-2020)
    “…The evolutionary maintenance of sexual reproduction has long challenged biologists as the majority of species reproduce sexually despite inherent costs…”
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    Journal Article
  14. 14

    Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology by Roth, Benedikt, Koch, Valentin, Wagner, Sophia J., Schnabel, Julia A., Marr, Carsten, Peng, Tingying

    “…To handle the large scale of whole slide images in computational pathology, most approaches first tessellate the images into smaller patches, extract features…”
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    Conference Proceeding
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    Curvature bounds on length-minimizing discs by Lytchak, Alexander, Wagner, Sophia

    Published 28-08-2023
    “…We show that a length-minimizing disk inherites the upper curvature bound of the target. As a consequence we prove that harmonic discs and ruled discs inherit…”
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    Journal Article
  19. 19

    Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation by Liu, Ye, Wagner, Sophia J, Peng, Tingying

    Published 23-11-2021
    “…Annotating microscopy images for nuclei segmentation is laborious and time-consuming. To leverage the few existing annotations, also across multiple…”
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    Journal Article
  20. 20

    Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction by Reisenbüchler, Daniel, Wagner, Sophia J, Boxberg, Melanie, Peng, Tingying

    Published 13-05-2022
    “…Classical multiple instance learning (MIL) methods are often based on the identical and independent distributed assumption between instances, hence neglecting…”
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    Journal Article