Toward Continuous Social Phenotyping: Analyzing Gaze Patterns in an Emotion Recognition Task for Children With Autism Through Wearable Smart Glasses

Published in Journal of Medical Internet Research, 2020

Wearable technology has presented a unique avenue of therapy for children suffering from non-neurotypical diseases. In this study, we aimed to test: (1) the feasibility of tracking gaze using wearable smart glasses during a facial expression recognition task for neurotypical and autistic children and (2) the ability of these gaze-tracking data, together with facial expression recognition responses, to distinguish children with autism from neurotypical controls (NCs).

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Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges

Published in IEEE International Symposium on Biomedical Imaging (ISBI), 2020

MRI, an extremely expensive imaging modality, often suffers from a high degree of motion artifacting, which nececitates the need for some automated detection mechanism to avoid the inefficient use of high-cost radiologist labor to filter images. In this paper, we explore several convolutional neural network-based frameworks for medical image quality assessment and investigate several challenges therein.

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