28 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Karolinska InstitutetSE3 papers
- Curtin UniversityAU2 papers
- Leibniz ScienceCampus Primate CognitionDE2 papers
- Medical University of GrazAT2 papers
- Stockholm Health Care ServicesSE2 papers
- Technische Universität DresdenDE2 papers
- Universitätsmedizin GöttingenDE2 papers
- University of California, Los AngelesUS2 papers
- University of GöttingenDE2 papers
- German Center for Neurodegenerative DiseasesDE1 paper
- Heidelberg UniversityDE1 paper
- Hesse (Germany)DE1 paper
6 papers
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…
Fibrotaxis: gradient-free, spontaneous and controllable droplet motion on soft solids
Sthavishtha R. Bhopalam, Jesus Bueno, Hector Gomez
Most passive droplet transport strategies rely on spatial variations of material properties to drive droplet motion, leading to gradient-based mechanisms with intrinsic length scal…
Infant movement classification through pressure distribution analysis
Tomas Kulvicius, Dajie Zhang, Karin Nielsen-Saines +6
Aiming at objective early detection of neuromotor disorders such as cerebral palsy, we proposed an innovative non-intrusive approach using a pressure sensing device to classify inf…
Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods
Florian Rupprecht, Sören Enge, Kornelius Schmidt +3
While there are many different methods for peak detection, no automatic methods for marking peak boundaries to calculate area under the curve (AUC) and signal-to-noise ratio (SNR)…
Multi-Stage Reinforcement Learning For Object Detection
Jonas Koenig, Simon Malberg, Martin Martens +3
We present a reinforcement learning approach for detecting objects within an image. Our approach performs a step-wise deformation of a bounding box with the goal of tightly framing…
On the relation between the (censored) shifted Wald and the Wiener distribution as measurement models for choice response times
Robert Miller, Stefan Scherbaum, Daniel W. Heck +2
Inferring processes or constructs from performance data is a major hallmark of cognitive psychometrics. Particularly, diffusion modeling of response times (RTs) from correct and er…