HIGHLIGHTS
- who: Yunan Wu from the DepartmentNorthwestern University have published the article: A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction, in the Journal: Scientific Reports Scientific Reports
- what: This study proposed a new deep learning model using residual gCNNs to predict Gf from cortical and subcortical surface meshes on two large datasets of two different age groups.
- how: The mean squared error (MSE) and the correlation coefficient (R) were calculated to assess model performances which refer to the average squared difference between the predicted . . .
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