Xin Li

97% of 184 high-impact biomedical AI studies compare cross-validated models with tests assuming fold independence; in 69% of re-analyzable studies a significant comparison does not survive correction.

This paper introduces DELSSOME, a deep learning framework that accelerates biophysical brain circuit model optimization, enabling faster parameter estimation and lifespan trajectory analysis of cortical E/I ratios.

The paper examines how aging affects structural brain hubs using fiber bundle capacity, finding that hub connections are more vulnerable to age-related declines in processing speed.

This study introduces a graph propagation network to predict cognitive behaviors from brain connectomes, finding it outperforms traditional methods by leveraging directed network topology.

The paper uses a multi-hops graph neural network to predict individual fusiform face activation, showing improved performance over previous methods.