Search Results - Marko van Treeck

  • Showing 1 - 12 results of 12
Refine Results
  1. 1

    Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy by 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

    Published in Scientific Reports (2022-03-01)
    Get full text
    Article


  2. 2

    Adversarial attacks and adversarial robustness in computational pathology by 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

    Published in Nature Communications (2022-09-01)
    Get full text
    Article


  3. 3

    A software pipeline for medical information extraction with large language models, open source and suitable for oncology by Isabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, Marko van Treeck, Dyke Ferber, Jiefu Zhu, Heiko Boehme, Keno K. Bressem, Hannes Ulrich, Matthias P. Ebert, Jakob Nikolas Kather

    Published in npj Precision Oncology (2025-09-01)
    Get full text
    Article


  4. 4

    Privacy-preserving large language models for structured medical information retrieval by 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

    Published in npj Digital Medicine (2024-09-01)
    Get full text
    Article


  5. 5

    Deep learning can predict cardiovascular events from liver imaging by Gregory Patrick Veldhuizen, Tim Lenz, Didem Cifci, Marko van Treeck, Jan Clusmann, Yazhou Chen, Carolin V. Schneider, Tom Luedde, Peter W. de Leeuw, Ali El-Armouche, Daniel Truhn, Jakob Nikolas Kather

    Published in JHEP Reports (2025-08-01)
    Get full text
    Article


  6. 6

    Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology by 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

    Published in npj Precision Oncology (2023-03-01)
    Get full text
    Article


  7. 7

    Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer by 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

    Published in npj Breast Cancer (2023-11-01)
    Get full text
    Article


  8. 8

    Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types by 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

    Published in BMC Biology (2024-10-01)
    Get full text
    Article


  9. 9

    Regression-based Deep-Learning predicts molecular biomarkers from pathology slides by 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

    Published in Nature Communications (2024-02-01)
    Get full text
    Article


  10. 10

    Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology by 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

    Published in npj Precision Oncology (2024-05-01)
    Get full text
    Article


  11. 11

    Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides by 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

    Published in Nature Communications (2024-02-01)
    Get full text
    Article


  12. 12

    HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer by Chiara M. L. Loeffler, Hideaki Bando, Srividhya Sainath, Hannah Sophie Muti, Xiaofeng Jiang, Marko van Treeck, Nic Gabriel Reitsam, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tomomi Nishikawa, Toshihiro Misumi, Saori Mishima, Daisuke Kotani, Hiroya Taniguchi, Ichiro Takemasa, Takeshi Kato, Eiji Oki, Yuan Tanwei, Wankhede Durgesh, Sebastian Foersch, Hermann Brenner, Michael Hoffmeister, Yoshiaki Nakamura, Takayuki Yoshino, Jakob Nikolas Kather

    Published in Nature Communications (2025-08-01)
    Get full text
    Article


Search Tools: