The University of Auckland
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

Download (1013.29 kB)
posted on 2022-09-28, 05:45 authored by Steven YooSteven Yoo

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.  

Choose your favourite poster for the SGS Research Showcase People's Choice Award: Academic Poster category.



University of Auckland

Usage metrics

    University of Auckland