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Stefan Markus Niehues
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2020 – today
- 2024
- [j5]Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
medBERT.de: A comprehensive German BERT model for the medical domain. Expert Syst. Appl. 237(Part C): 121598 (2024) - 2023
- [j4]Felix Busch, Lina Xu, Dmitry Sushko, Matthias Weidlich, Daniel Truhn, Gustav Müller-Franzes, Maurice M. Heimer, Stefan Markus Niehues, Marcus R. Makowski, Markus Hinsche, Janis Lucas Vahldiek, Hugo J. W. L. Aerts, Lisa C. Adams, Keno K. Bressem:
Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. Comput. Methods Programs Biomed. 234: 107505 (2023) - [i3]Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser:
MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR abs/2303.08179 (2023) - 2022
- [j3]Lisa C. Adams, Marcus R. Makowski, Günther Engel, Maximilian Rattunde, Felix Busch, Patrick Asbach, Stefan Markus Niehues, Shankeeth Vinayahalingam, Bram van Ginneken, Geert Litjens, Keno K. Bressem:
Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Comput. Biol. Medicine 148: 105817 (2022) - 2021
- [j2]Keno K. Bressem, Lisa C. Adams, Robert A. Gaudin, Daniel Tröltzsch, Bernd Hamm, Marcus R. Makowski, Chan-Yong Schüle, Janis Lucas Vahldiek, Stefan Markus Niehues:
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports. Bioinform. 36(21): 5255-5261 (2021) - [i2]Keno K. Bressem, Stefan Markus Niehues, Bernd Hamm, Marcus R. Makowski, Janis Lucas Vahldiek, Lisa C. Adams:
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware. CoRR abs/2101.09976 (2021) - 2020
- [i1]Keno K. Bressem, Lisa Adams, Christoph Erxleben, Bernd Hamm, Stefan Markus Niehues, Janis Lucas Vahldiek:
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs. CoRR abs/2002.08991 (2020)
2010 – 2019
- 2018
- [j1]Stefan Markus Niehues, Janis Lucas Vahldiek, Daniel Tröltzsch, Bernd Hamm, Seyd Shnayien:
Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware. Comput. Biol. Medicine 103: 161-166 (2018)
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last updated on 2024-04-24 23:08 CEST by the dblp team
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