JHY_HealthEX_Poster_V7_CMS-a0e75eb6-320f-43b9-93b1-16ca9df8f683.pdf (1013.29 kB)
Steven Yoo: Determination Of Regions Of Interests In Human Brain Atlases For Upper Limb Recovery Prediction Post-stroke
Public brain atlases were compared with each other for motor recovery prediction post-stroke using machine learning models, and it was determined that The SMATT brain atlas best predicts upper limb recovery after stroke. This work can guide the development of more accessible and accurate multimodal stroke recovery prediction models.
This poster was uploaded for the SGS Research Showcase 2022.
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