Maike Stöve › Machine Learning and Data Analytics Lab

Maike Stöve, M. Sc.

Department of Computer Science
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Room 01.024
Carl-Thiersch-Straße 2b
91052 Erlangen

Since 11/2017	Ph.D. Student at the Machine Learning and Data Analytics Lab
04/2015 – 09/2017	M.Sc. in Medical Engineering Friedrich-Alexander-University Erlangen-Nuernberg Master Thesis: “Artifact Detection in Confocal Laser Endomicroscopy Images”
08/2015 – 01/2016	Semester Abroad in Spain Universidad del País Vasco, Donostia – San Sebastián
10/2011 – 03/2015	B.Sc. in Medical Engineering Friedrich-Alexander-University Erlangen-Nuernberg Bachelor Thesis: “Comparison of Inertial Sensors for High-Intensity Event Analysis in Sports Applications”

Aubreville M., Stöve M., Oetter N., Goncalves M., Knipfer C., Neumann H., Bohr C., Stelzle F., Maier A.:
Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images.
In: International Journal of Computer Assisted Radiology and Surgery 14 (2019), p. 31-42
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1836-1
BibTeX: Download
Stöve M., Eskofier B.:
Last length estimation in football
Spinfortec 2018 (Garching b. München, 6. September 2018 - 7. September 2018)
In: Sportinformatik XII 2018
BibTeX: Download
Stöve M., Aubreville M., Oetter N., Knipfer C., Neumann H., Stelzle F., Maier A.:
Motion Artifact Detection in Confocal Laser Endomicroscopy Images
Bildverarbeitung für die Medizin 2018 (Erlangen, Germany, 11. March 2018 - 13. March 2018)
In: Bildverarbeitung für die Medizin 2018. Informatik aktuell., Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_85
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stoeve18-MAD.pdf
BibTeX: Download