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Dr.-Ing. Daniel Stromer

Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg


1 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