79 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of GöttingenDE7 papers
- Karolinska InstitutetSE5 papers
- Medical University of GrazAT5 papers
- Curtin UniversityAU4 papers
- Stockholm Health Care ServicesSE4 papers
- Universitätsmedizin GöttingenDE4 papers
- University of California, Los AngelesUS3 papers
- Heidelberg UniversityDE2 papers
- MSB Medical School BerlinDE2 papers
- University Hospital HeidelbergDE2 papers
- Bernstein Center for Computational Neuroscience GöttingenDE1 paper
- German Center for Neurodegenerative DiseasesDE1 paper
Showing 2024Show all
2 papers · 1 filter
cs.CV2024★ 17 cited
Comparison of marker-less 2D image-based methods for infant pose estimation
Lennart Jahn, Sarah Flügge, Dajie Zhang +5
In this study we compare the performance of available generic- and infant-pose estimators for a video-based automated general movement assessment (GMA), and the choice of viewing a…
cs.LG2024★ 17 cited
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulvicius, Dajie Zhang, Luise Poustka +8
To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments…