Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology. - Hongyoon Choi; Yu Kyeong Kim; Hyejin Kang; Hyekyoung Lee; Hyung Jun Im; Do Won Hwang; E. Edmund Kim; June-Key Chung; Dong Soo Lee (NeuroImage, 2014)

Functional connectivity patterns of autism spectrum disorder identified by deep feature learning. - Hongyoon Choi (CoRR, 2017)

Predicting Cognitive Decline with Deep Learning of Brain Metabolism and Amyloid Imaging. - Hongyoon Choi; Kyong Hwan Jin (CoRR, 2017)

Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Hongyoon Choi; Yu Kyeong Kim; Dong Soo Lee (ISBI, 2018)

Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity. - Hyekyoung Lee; Moo K. Chung; Hongyoon Choi; Hyejin Kang; Seunggyun Ha; Yu Kyeong Kim; Dong Soo Lee (CTIC, 2019)

Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Hongyoon Choi; Seunggyun Ha; Youngmin Huh; Eunkyung Kim; Dong Soo Lee (MICCAI (4), 2019)

Reducing the Human Effort in Developing PET-CT Registration. - Teaghan O'Briain; Kyong Hwan Jin; Hongyoon Choi; Erika Chin; Magdalena Bazalova-Carter; Kwang Moo Yi (CoRR, 2019)

Translating amyloid PET of different radiotracers by a deep generative model for interchangeability. - Seung Kwan Kang; Hongyoon Choi; Jae Sung Lee; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)