96 citations · 151 across the 5 of their papers we have counts for
3 papers · 1 filter
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
Kimji N. Pellano, Inga Strümke, Daniel Groos +2
Early detection of Cerebral Palsy (CP) is crucial for effective intervention and monitoring. This paper tests the reliability and applicability of Explainable AI (XAI) methods usin…
Towards human-level performance on automatic pose estimation of infant spontaneous movements
Daniel Groos, Lars Adde, Ragnhild Støen +2
Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorde…
EfficientPose: Scalable single-person pose estimation
Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen
Single-person human pose estimation facilitates markerless movement analysis in sports, as well as in clinical applications. Still, state-of-the-art models for human pose estimatio…