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Dr.-Ing. Daniel StromerResearcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-NürnbergTheses1 Running
Master Theses
Pryakhina, Natalia: Development of a machine learning algorithm for generating realistic synthetic electronic healthcare records Advisor: Maier, Andreas; Stromer, Daniel Beginn: 15.12.2019 4 Finished
Bachelor Theses
Kabusch, Felix: Untersuchung der Anwendungsmöglichkeiten und Randbedingungen von computer-tomographischen Untersuchungen an Kunststoffbauteilen Advisor: Maier, Andreas; Stromer, Daniel; Würfl, Tobias; Mario Beez (FH) Dr. Schneider Kunststoffwerke GmbH (Kronach) Beginn: 16.11.2017 Pfahlmann, Jessica: Virtual Unwrapping of 3-D X-ray CT Scanned Historical Scrolls Advisor: Christlein, Vincent; Maier, Andreas; Stromer, Daniel Beginn: 19.06.2018 Master Theses
Özkan, Can Hassan: Automatized Segmentation of Cracks in Solar Cells Advisor: Haderlein, Tino; Maier, Andreas; Stromer, Daniel; Dr. Andreas Vetter (GP Inspect GmbH, 82061 Neuried) Beginn: 02.01.2018 Rybakov, Oleksiy: Segmentation of Fat and Fascia in Canine Ultrasound Images Advisor: Maier, Andreas; Stromer, Daniel; Irina Mischewski (Universität Jena) Beginn: 01.08.2017 |