Maike Stöve
Maike Stöve, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch-Straße 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Phone number: +49 9131 85-27890
- Email: maike.stoeve@fau.de
- Website: https://www.mad.tf.fau.de/person/maike-stove/
| 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” |
2024
- Lennartz R., Stöve M., Talar K., Kumarampulakkal N., Dorschky E., Witte M., Eskofier B.:
The Influence of Gamification on Motivation and Cardiac Variables in Soccer
29th Annual Congress of the European College of Sport Science (Glasgow, Scotland, UK, 2. July 2024 - 5. July 2024)
In: Book of Abstracts of the 29th Annual Congress of the European College of Sport Science 2024
URL: https://www.ecss.mobi/DATA/CONGRESSES/GLASGOW_2024/DOCUMENTS/2024_BOA_Web.pdf
BibTeX: Download
2023
- Mehringer W., Stöve M., Krauß D., Ring M., Steussloff F., Güttes M., Zott J., Hohberger B., Michelson G., Eskofier B.:
Author Correction: Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID (Scientific Reports, (2023), 13, 1, (13167), 10.1038/s41598-023-40263-w)
In: Scientific Reports 13 (2023), Article No.: 16307
ISSN: 2045-2322
DOI: 10.1038/s41598-023-43373-7
BibTeX: Download - Mehringer W., Stöve M., Krauß D., Ring M., Steussloff F., Güttes M., Zott J., Hohberger B., Michelson G., Eskofier B.:
Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
In: Scientific Reports 13 (2023), p. 13167-
ISSN: 2045-2322
DOI: 10.1038/s41598-023-40263-w
BibTeX: Download
2022
- Link J., Perst T., Stöve M., Eskofier B.:
Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning
In: Sensors 22 (2022), p. 2560
ISSN: 1424-8220
DOI: 10.3390/s22072560
BibTeX: Download - Stöve M., Wirth M., Farlock R., Antunovic A., Müller V., Eskofier B.:
Eye Tracking-Based Stress Classification of Athletes in Virtual Reality
In: Proceedings of the ACM on Computer Graphics and Interactive Techniques 5 (2022), p. 1-17
ISSN: 2577-6193
DOI: 10.1145/3530796
BibTeX: Download - Zrenner M., Stöve M., Franklin S., Kumar B., Jensen U., Eskofier B.:
Data-Driven Optimization of Sensor Placement for Pressure Insoles Using Particle Swarm Optimization
In: Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference, Springer, Cham, 2022, p. 160-164
ISBN: 9783030993320
DOI: 10.1007/978-3-030-99333-7_27
BibTeX: Download
2021
- Stöve M., Schuldhaus D., Gamp A., Zwick C., Eskofier B.:
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning
In: Sensors 21 (2021), p. 3071
ISSN: 1424-8220
DOI: 10.3390/s21093071
BibTeX: Download
2019
- 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
2018
- 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 - 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
- 3rd place best paper award BVM 2018
- 3rd place at the “Connecting Healthcare IT” Newcomer Award
Scrum Master of several teams in the Innovation Lab for Wearable and Ubiquitous Computing: