Maike Stöve, M. Sc.
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” |
2019
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
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2018
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
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Last length estimation in football
Spinfortec 2018 (Garching b. München, 6. September 2018 - 7. September 2018)
In: Sportinformatik XII 2018
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