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Toward Biomarker Discovery for Early Cerebral Palsy Detection: Evaluating Explanations Through Kinematic Perturbations

Cerebral Palsy (CP) is a prevalent motor disability in children, for which early detection can significantly improve treatment outcomes. While skeleton-based Graph Convolutional Network (GCN) models have shown promise in automatically predicting CP risk from infant videos, their “black-box&#x...

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Principais autores: Kimji N. Pellano, Inga Strumke, Daniel Groos, Lars Adde, Pal Haugen, Espen Alexander F. Ihlen
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2026-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Acceso en liña:https://ieeexplore.ieee.org/document/11352985/
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