Hasil Pencarian - Karsten Wendt

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  1. 1
    Rule-Based DSL for Continuous Features and ML Models Selection in Multiple Sclerosis Research

    Rule-Based DSL for Continuous Features and ML Models Selection in Multiple Sclerosis Research oleh Wanqi Zhao, Karsten Wendt, Tjalf Ziemssen, Uwe Aßmann

    Diterbitkan 2024-07-01
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  2. 2
    Semi-supervised learning in cancer diagnostics

    Semi-supervised learning in cancer diagnostics oleh Jan-Niklas Eckardt, Jan-Niklas Eckardt, Martin Bornhäuser, Martin Bornhäuser, Martin Bornhäuser, Karsten Wendt, Karsten Wendt, Jan Moritz Middeke, Jan Moritz Middeke

    Diterbitkan 2022-07-01
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  3. 3
    Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears

    Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smears oleh Jan-Niklas Eckardt, Tim Schmittmann, Sebastian Riechert, Michael Kramer, Anas Shekh Sulaiman, Katja Sockel, Frank Kroschinsky, Johannes Schetelig, Lisa Wagenführ, Ulrich Schuler, Uwe Platzbecker, Christian Thiede, Friedrich Stölzel, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke

    Diterbitkan 2022-02-01
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  4. 4
    Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning

    Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning oleh Jan-Niklas Eckardt, Christoph Röllig, Klaus Metzeler, Michael Kramer, Sebastian Stasik, Julia-Annabell Georgi, Peter Heisig, Karsten Spiekermann, Utz Krug, Jan Braess, Dennis Görlich, Cristina M. Sauerland, Bernhard Woermann, Tobias Herold, Wolfgang E. Berdel, Wolfgang Hiddemann, Frank Kroschinsky, Johannes Schetelig, Uwe Platzbecker, Carsten Müller-Tidow, Tim Sauer, Hubert Serve, Claudia Baldus, Kerstin Schäfer-Eckart, Martin Kaufmann, Stefan Krause, Mathias Hänel, Christoph Schliemann, Maher Hanoun, Christian Thiede, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke

    Diterbitkan 2022-06-01
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  5. 5
    Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles

    Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles oleh Jan-Niklas Eckardt, Christoph Röllig, Klaus Metzeler, Peter Heisig, Sebastian Stasik, Julia-Annabell Georgi, Frank Kroschinsky, Friedrich Stölzel, Uwe Platzbecker, Karsten Spiekermann, Utz Krug, Jan Braess, Dennis Görlich, Cristina Sauerland, Bernhard Woermann, Tobias Herold, Wolfgang Hiddemann, Carsten Müller-Tidow, Hubert Serve, Claudia D. Baldus, Kerstin Schäfer-Eckart, Martin Kaufmann, Stefan W. Krause, Mathias Hänel, Wolfgang E. Berdel, Christoph Schliemann, Jiri Mayer, Maher Hanoun, Johannes Schetelig, Karsten Wendt, Martin Bornhäuser, Christian Thiede, Jan Moritz Middeke

    Diterbitkan 2023-05-01
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