15 citations · 16 across the 4 of their papers we have counts for
5 papers
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…
Reducing the Human Effort in Developing PET-CT Registration
Teaghan O'Briain, Kyong Hwan Jin, Hongyoon Choi +3
We aim to reduce the tedious nature of developing and evaluating methods for aligning PET-CT scans from multiple patient visits. Current methods for registration rely on correspond…
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…
Functional connectivity patterns of autism spectrum disorder identified by deep feature learning
Hongyoon Choi
Autism spectrum disorder (ASD) is regarded as a brain disease with globally disrupted neuronal networks. Even though fMRI studies have revealed abnormal functional connectivity in…
Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging
Hongyoon Choi, Kyong Hwan Jin
For effective treatment of Alzheimer disease (AD), it is important to identify subjects who are most likely to exhibit rapid cognitive decline. Herein, we developed a novel framewo…