196 citations · 332 across the 4 of their papers we have counts for
4 papers
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta +3
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract the…
Stride Length Estimation with Deep Learning
Julius Hannink, Thomas Kautz, Cristian F. Pasluosta +5
Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodologic…
Locally Adaptive Frames in the Roto-Translation Group and their Applications in Medical Imaging
R. Duits, M. H. J. Janssen, J. Hannink +1
Locally adaptive differential frames (gauge frames) are a well-known effective tool in image analysis, used in differential invariants and PDE-flows. However, at complex structures…
Vesselness via Multiple Scale Orientation Scores
Julius Hannink, Remco Duits, Erik Bekkers
The multi-scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot cope with crossings or bifurcations, since it only looks for elong…