Hyejin Kang

The paper uses k-core percolation on dynamic resting-state fMRI to reveal time-varying hierarchical brain connectivity and its relation to mental states.

This paper embeds functional brain networks from resting-state fMRI into hyperbolic space to visualize and detect anomalies in autism spectrum disorder.

The paper identifies characteristic core structures in resting-state fMRI data using hyperbolic disc embedding and k-core percolation, revealing individual differences in brain connectivity patterns.

The paper predicts age-related brain metabolic changes using a variational autoencoder and shows APOE4 status significantly affects metabolic degeneration in specific brain regions.