Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations.
CoRR, March, 2025
Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures.
Comput. Biol. Medicine, 2025
Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy.
IEEE Access, 2025
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition.
CoRR, 2024
Towards human-level performance on automatic pose estimation of infant spontaneous movements.
Comput. Medical Imaging Graph., 2022
Towards human performance on automatic motion tracking of infant spontaneous movements.
CoRR, 2020
Weakly supervised motion segmentation with particle matching.
Comput. Vis. Image Underst., 2015
Frequency-based features for early cerebral palsy prediction.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Video-based early cerebral palsy prediction using motion segmentation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Motion Segmentation with Weak Labeling Priors.
Proceedings of the Pattern Recognition - 36th German Conference, 2014
ENIGMA - Enhanced interactive general movement assessment.
Expert Syst. Appl., 2008