Liora Manelis

This study evaluates three facial analysis algorithms for quantifying facial expressions in children with autism during social interactions, finding no group differences in expression quantity but significant algorithm variability.

This paper introduces an AI algorithm to automatically identify and quantify stereotypical motor movements in children with ASD using video data, achieving high correlation with manual annotations.

The paper quantifies gaze idiosyncrasy in children with ASD and controls, finding it correlates with ASD severity and distinguishes ASD from controls more effectively than traditional measures.

This study finds that hypersensitivity to touch is strongly linked to sleep disturbances in children with autism, explaining 24% of the variance in sleep disturbance scores.