Hasil Pencarian - Marko van Treeck

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  1. 1
    Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy

    Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy oleh Lukas Buendgens, Didem Cifci, Narmin Ghaffari Laleh, Marko van Treeck, Maria T. Koenen, Henning W. Zimmermann, Till Herbold, Thomas Joachim Lux, Alexander Hann, Christian Trautwein, Jakob Nikolas Kather

    Diterbitkan 2022-03-01
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  2. 2
    Adversarial attacks and adversarial robustness in computational pathology

    Adversarial attacks and adversarial robustness in computational pathology oleh Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman D. Buelow, Rupert Langer, Bastian Dislich, Peter Boor, Volkmar Schulz, Jakob Nikolas Kather

    Diterbitkan 2022-09-01
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  3. 3
    Privacy-preserving large language models for structured medical information retrieval

    Privacy-preserving large language models for structured medical information retrieval oleh Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K. Meyer, Radhika Juglan, Zunamys I. Carrero, Daniel Paech, Jens Kleesiek, Matthias P. Ebert, Daniel Truhn, Jakob Nikolas Kather

    Diterbitkan 2024-09-01
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  4. 4
    Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

    Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology oleh Oliver Lester Saldanha, Chiara M. L. Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias P. Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T. Pearson, Jakob Nikolas Kather

    Diterbitkan 2023-03-01
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  5. 5
    Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer

    Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer oleh Subarnarekha Chatterji, Jan Moritz Niehues, Marko van Treeck, Chiara Maria Lavinia Loeffler, Oliver Lester Saldanha, Gregory Patrick Veldhuizen, Didem Cifci, Zunamys Itzell Carrero, Rasha Abu-Eid, Valerie Speirs, Jakob Nikolas Kather

    Diterbitkan 2023-11-01
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  6. 6
    Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types

    Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types oleh Chiara Maria Lavinia Loeffler, Chiara Maria Lavinia Loeffler, Nadine T. Gaisa, Nadine T. Gaisa, Hannah Sophie Muti, Hannah Sophie Muti, Marko van Treeck, Marko van Treeck, Amelie Echle, Amelie Echle, Narmin Ghaffari Laleh, Narmin Ghaffari Laleh, Christian Trautwein, Christian Trautwein, Lara R. Heij, Lara R. Heij, Lara R. Heij, Lara R. Heij, Heike I. Grabsch, Heike I. Grabsch, Nadina Ortiz Bruechle, Nadina Ortiz Bruechle, Jakob Nikolas Kather, Jakob Nikolas Kather, Jakob Nikolas Kather, Jakob Nikolas Kather

    Diterbitkan 2022-02-01
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  7. 7
    Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types

    Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types oleh Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero, Tobias Seibel, Marko van Treeck, Didem Cifci, Marco Gustav, Kevin Bretz, Nadine T. Gaisa, Kjong-Van Lehmann, Alexandra Leary, Pier Selenica, Jorge S. Reis-Filho, Nadina Ortiz-Bruechle, Jakob Nikolas Kather

    Diterbitkan 2024-10-01
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  8. 8
    Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

    Regression-based Deep-Learning predicts molecular biomarkers from pathology slides oleh Omar S. M. El Nahhas, Chiara M. L. Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine J. Hewitt, Hannah S. Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather

    Diterbitkan 2024-02-01
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  9. 9
    Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology

    Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology oleh Marco Gustav, Nic Gabriel Reitsam, Zunamys I. Carrero, Chiara M. L. Loeffler, Marko van Treeck, Tanwei Yuan, Nicholas P. West, Philip Quirke, Titus J. Brinker, Hermann Brenner, Loëtitia Favre, Bruno Märkl, Albrecht Stenzinger, Alexander Brobeil, Michael Hoffmeister, Julien Calderaro, Anaïs Pujals, Jakob Nikolas Kather

    Diterbitkan 2024-05-01
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  10. 10
    Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

    Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides oleh Omar S. M. El Nahhas, Chiara M. L. Loeffler, Zunamys I. Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine J. Hewitt, Hannah S. Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho, Jakob Nikolas Kather

    Diterbitkan 2024-02-01
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