Lishan Qiao

This study evaluates how different node features affect GCN performance in brain network classification, finding that node correlation provides higher accuracy than other features.

This paper proposes a transfer learning method to improve functional brain network estimation for MCI identification, achieving higher classification accuracy and AUC.

This paper proposes a method for estimating functional brain networks by scrubbing noisy time series data, achieving higher classification accuracy in identifying MCI patients.