Jianxiao Wu

The paper introduces multilayer meta-matching to improve phenotypic prediction in small datasets by translating models from multiple large datasets, outperforming classical methods and transfer learning.

This paper introduces a connectivity-based framework to predict psychometric variables from brain connectivity and evaluates its performance compared to activation-based approaches.

This paper evaluates methods for mapping between MNI152/Colin27 and fsaverage coordinate systems, finding that registration fusion with ANTs performs best for new subjects.