A single-view video model estimates knee z-scores with R²=0.80 and ankle z-scores with R²=0.57 against 3D-IGA ground truth, supporting screening and longitudinal tracking in a heterogeneous pediatric cohort.
Application of Deep Learning Models in Classification of Sagittal Gait Patterns Based on Rodda’s Classification System in Patients with Cerebral Palsy
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Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort
A single-view video model estimates knee z-scores with R²=0.80 and ankle z-scores with R²=0.57 against 3D-IGA ground truth, supporting screening and longitudinal tracking in a heterogeneous pediatric cohort.