Towards human performance on automatic motion tracking of infant spontaneous movements. - Daniel Groos; Lars Adde; Ragnhild Støen; Heri Ramampiaro; Espen A. F. Ihlen (CoRR, 2020)

EfficientPose: Scalable single-person pose estimation. - Daniel Groos; Heri Ramampiaro; Espen A. F. Ihlen (Appl. Intell., 2021)

Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation. - Ola Elfmark; Gertjan J. C. Ettema; Daniel Groos; Espen A. F. Ihlen; Rune Velta; Per Haugen; Steinar Braaten; Matthias Gilgien (Sensors, 2021)

Towards human-level performance on automatic pose estimation of infant spontaneous movements. - Daniel Groos; Lars Adde; Ragnhild Støen; Heri Ramampiaro; Espen A. F. Ihlen (Comput. Medical Imaging Graph., 2022)

Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity Recognition. - Felix Tempel; Daniel Groos; Espen Alexander Fürst Ihlen; Lars Adde; Inga Strümke (CoRR, 2024)

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy. - Kimji N. Pellano; Inga Strümke; Daniel Groos; Lars Adde; Espen A. F. Ihlen (IEEE Access, 2025)

Towards Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations. - Kimji N. Pellano; Inga Strümke; Daniel Groos; Lars Adde; Pål Haugen; Espen Alexander Fürst Ihlen (CoRR, 2025)