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Showing 10 out of a total of 176 results for community: Universitätsbibliographie. (0.014 seconds)

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Fully Automated R-peak Detection Algorithm (FLORA) for fetal magnetoencephalographic data

Sippel, Katrin; Moser, Julia; Schleger, Franziska; Preißl, Hubert; Rosenstiel, Wolfgang; Spüler, Martin (Elsevier Ireland Ltd, 2019)
Automated closed-loop management of body temperature using forced-air blankets: preliminary feasibility study in a porcine model

Peter, Jörg; Klingert, Kathrin; Klingert, Wilfried; Thiel, Karolin; Königsrainer, Alfred; Grasshoff, Christian; Rosenstiel, Wolfgang; Schenk, Martin (2018-12)
Fully automated life support: an implementation and feasibility pilot study in healthy pigs

Klingert, Wilfried; Peter, Jörg; Thiel, Christian; Thiel, Karolin; Rosenstiel, Wolfgang; Klingert, Kathrin; Grasshoff, Christian; Königsrainer, Alfred; Schenk, Martin (Springer, 2018-12)
The effect of monitor raster latency on VEPs, ERPs and Brain-Computer Interface performance

Nagel, Sebastian; Dreher, Werner; Rosenstiel, Wolfgang; Spüler, Martin (2018)
BORE: Boosted-oriented edge optimization for robust, real time remote pupil center detection

Fuhl, Wolfgang; Eivazi, Shahram; Hosp, Benedikt; Eivazi, Anna; Rosenstiel, Wolfgang; Kasneci, Enkelejda (New York, NY: ACM, 2018)
The Art of Pervasive Eye Tracking: Unconstrained Eye Tracking in the Austrian Gallery Belvedere

Santini, Thiago; Rosenstiel, Wolfgang; Kasneci, Enkelejda (New York, NY: ACM, 2018-06)
Region of interest generation algorithms for eye tracking data

Fuhl, Wolfgang; Rosenstiel, Wolfgang; Kasneci, Enkelejda; Kübler, Thomas (ACM, 2018-06)
Approaches for Interference-proof Future Radar Systems

Bringmann, Oliver; Rosenstiel, Wolfgang (IEEE, 2019-06-20)
The applicability of Cycle GANs for pupil and eyelid segmentation, data generation and image refinement

Fuhl, Wolfgang; Geisler, David; Rosenstiel, Wolfgang; Kasneci, Enkelejda (IEEE, 2019)
500,000 images closer to eyelid and pupil segmentation

Fuhl, Wolfgang; Rosenstiel, Wolfgang; Kasneci, Enkelejda (Cham: Springer, 2019)

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