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Yasaman Haghbin

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#artificial intelligence Preprint Sep 2024

FICAug: Feature-Informed Clustering and Augmentation for Facial-Expression-Based Parkinson's Disease Screening

The results suggest that synthetic image generation, when guided by label consistency and clinical feature structure, can function as an effective intermediate representation-learning step for facial-expression-based PD screening in settings where clinical data remain scarce.

Yasaman Haghbin, Hadi Moradi, Reshad Hosseini · 1 citation

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