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Michael Stürzl
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2020 – today
- 2024
- [c4]Thomas Eixelberger, Qi Fang, Bisan A. Zohud, Ralf Hackner, Rene Jackstadt, Michael Stürzl, Elisabeth Naschberger, Thomas Wittenberg:
Automated Lesion Detection in Endoscopic Imagery for Small Animal Models. Bildverarbeitung für die Medizin 2024: 190-195
2010 – 2019
- 2018
- [c3]Julian Gründner, Hans-Ulrich Prokosch, Michael Stürzl, Roland Croner, Jan Christoph, Dennis Toddenroth:
Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning. MIE 2018: 101-105 - 2017
- [j2]Jan Christoph, Christian Knell, Anja Bosserhoff, Elisabeth Naschberger, Michael Stürzl, M. Rübner, Hannes Seuss, M. Ruh, Hans-Ulrich Prokosch, Brita Sedlmayr:
Usability and Suitability of the Omics-Integrating Analysis Platform tranSMART for Translational Research and Education. Appl. Clin. Inform. 08(04): 1173-1183 (2017) - [c2]Jan Christoph, Christian Knell, Elisabeth Naschberger, Michael Stürzl, Christian Maier, Hans-Ulrich Prokosch, Martin Sedlmayr:
Two Years of tranSMART in a University Hospital for Translational Research and Education. eHealth 2017: 70-79 - 2013
- [j1]Felix Köpcke, Dorota Lubgan, Rainer Fietkau, Axel Scholler, Carla Nau, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch, Dennis Toddenroth:
Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data. BMC Medical Informatics Decis. Mak. 13: 134 (2013) - 2011
- [c1]Hans-Ulrich Prokosch, Markus Ries, Alexander Beyer, Martin Schwenk, Christof Seggewies, Felix Köpcke, Sebastian Mate, Marcus Martin, Barbara Bärthlein, Matthias W. Beckmann, Michael Stürzl, Roland Croner, Bernd Wullich, Thomas Ganslandt, Thomas Bürkle:
IT Infrastructure Components to Support Clinical Care and Translational Research Projects in a Comprehensive Cancer Center. MIE 2011: 892-896
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