4 citations · 8 across the 7 of their papers we have counts for
7 papers
Functional voxel hierarchy and afferent capacity revealed mental state transition on dynamic correlation resting-state fMRI
Dong Soo Lee, Hyun Joo Kim, Youngmin Huh +4
Voxel hierarchy on dynamic brain graphs is produced by k core percolation on functional dynamic amplitude correlation of resting-state fMRI. Directed graphs and their afferent/effe…
Understanding of a brain spatial map based on threshold-free function dendrogramization
Hyekyoung Lee, Hyejin Kang, Youngmin Huh +2
Linear matrix factorizations (LMFs) such as independent component analysis (ICA), principal component analysis (PCA), and their extensions, have been widely used for finding releva…
Harmonic holes as the submodules of brain network and network dissimilarity
Hyekyoung Lee, Moo K. Chung, Hongyoon Choi +4
Persistent homology has been applied to brain network analysis for finding the shape of brain networks across multiple thresholds. In the persistent homology, the shape of networks…
Topological Brain Network Distances
Moo K. Chung, Hyekyoung Lee, Andrey Gritsenko +4
Existing brain network distances are often based on matrix norms. The element-wise differences in the existing matrix norms may fail to capture underlying topological differences.…
Volume entropy and information flow in a brain graph
Hyekyoung Lee, Eunkyung Kim, Hyejin Kang +4
Entropy is a classical measure to quantify the amount of information or complexity of a system. Various entropy-based measures such as functional and spectral entropies have been p…
Topological Distances between Networks and Its Application to Brain Imaging
Hyekyoung Lee, Zhiwei Ma, Yuan Wang +1
This paper surveys various distance measures for networks and graphs that were introduced in persistent homology. The scope of the paper is limited to network distances that were a…
Integrated multimodal network approach to PET and MRI based on multidimensional persistent homology
Hyekyoung Lee, Hyejin Kang, Moo K. Chung +3
Finding the underlying relationships among multiple imaging modalities in a coherent fashion is one of challenging problems in the multimodal analysis. In this study, we propose a…