Maike Stöve



Organisation


Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


Project member


(Digital Twin - holistische Beschreibung und Bewertung von Athleten):
Digital Twin: Digital Twin – Novel data fusion algorithms and immersive interaction concepts for the holistic description and evaluation of athletes through self-learning systems
Prof. Dr. Björn Eskofier
(01/12/2018 - 31/05/2021)


Publications ()


Aubreville, M., Stöve, M., Oetter, N., Goncalves, M., Knipfer, C., Neumann, H.,... Maier, A. (2019). Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images. International Journal of Computer Assisted Radiology and Surgery, 14(1), 31-42. https://dx.doi.org/10.1007/s11548-018-1836-1
Stöve, M., & Eskofier, B. (2018, December). Last length estimation in football. Paper presentation at Spinfortec 2018, Garching b. München, DE.
Stöve, M., Aubreville, M., Oetter, N., Knipfer, C., Neumann, H., Stelzle, F., & Maier, A. (2018). Motion Artifact Detection in Confocal Laser Endomicroscopy Images. In Bildverarbeitung für die Medizin 2018. Informatik aktuell. (pp. 328-333). Erlangen, Germany: Berlin, Heidelberg: Springer Vieweg, Berlin, Heidelberg.

Last updated on 2017-01-11 at 01:01