Maike Stöve

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