Hyekyoung Lee

28 papers A 1B 1Journal 10Unranked 16
YearRankTypeTitle / Venue / Authors
2019 J jnl
Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety.
NeuroImage
Mengqi Xing, Hyekyoung Lee, Zachery Morrissey, Moo K. Chung, K. Luan Phan, Heide Klumpp, Alex D. Leow, Olusola Ajilore
2019 — conf
Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian.
MICCAI (4)
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Seunggyun Ha, Youngmin Huh, Eunkyung Kim, Dong Soo Lee
2019 — conf
Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity.
CTIC
Hyekyoung Lee, Moo K. Chung, Hongyoon Choi, Hyejin Kang, Seunggyun Ha, Yu Kyeong Kim, Dong Soo Lee
2019 — conf
Statistical Inference on the Number of Cycles in Brain Networks.
ISBI
Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee
2018 — conf
Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian.
ISBI
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Yu Kyeong Kim, Dong Soo Lee
2018 — conf
Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome.
MICCAI (3)
Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung
2017 — conf
Exact Topological Inference for Paired Brain Networks via Persistent Homology.
IPMI
Moo K. Chung, Victoria Villalta-Gil, Hyekyoung Lee, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald
2017 — conf
Topological Distances Between Brain Networks.
CNI@MICCAI
Moo K. Chung, Hyekyoung Lee, Victor Solo, Richard J. Davidson, Seth D. Pollak
2015 J jnl
Brain Networks Engaged in Audiovisual Integration During Speech Perception Revealed by Persistent Homology-Based Network Filtration.
Brain Connect.
Heejung Kim, Jarang Hahm, Hyekyoung Lee, Eunjoo Kang, Hyejin Kang, Dong Soo Lee
2014 J jnl
Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology.
NeuroImage
Hongyoon Choi, Yu Kyeong Kim, Hyejin Kang, Hyekyoung Lee, Hyung Jun Im, Do Won Hwang, E. Edmund Kim, June-Key Chung, Dong Soo Lee
2014 — conf
Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian.
MICCAI (3)
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Dong Soo Lee
2013 — conf
Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study.
MICCAI (1)
Moo K. Chung, Jamie L. Hanson, Hyekyoung Lee, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak
2012 — conf
Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging.
ISBI
Seung-Goo Kim, Brian B. Avants, Hyekyoung Lee, James C. Gee, Moo K. Chung, Richard J. Davidson, Jamie L. Hanson, Seth D. Pollak
2012 J jnl
Persistent Brain Network Homology From the Perspective of Dendrogram.
IEEE Trans. Medical Imaging
Hyekyoung Lee, Hyejin Kang, Moo K. Chung, Bung-Nyun Kim, Dong Soo Lee
2011 — conf
Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric.
MICCAI (2)
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Boong-Nyun Kim, Dong Soo Lee
2011 — conf
Discriminative persistent homology of brain networks.
ISBI
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyun Kim, Dong Soo Lee
2011 J jnl
Sparse Brain Network Recovery Under Compressed Sensing.
IEEE Trans. Medical Imaging
Hyekyoung Lee, Dong Soo Lee, Hyejin Kang, Boong-Nyun Kim, Moo K. Chung
2011 — conf
Sparse topological data recovery in medical images.
ISBI
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Chul Ye
2010 J jnl
Semi-Supervised Nonnegative Matrix Factorization.
IEEE Signal Process. Lett.
Hyekyoung Lee, Jiho Yoo, Seungjin Choi
2009 A conf
Group Nonnegative Matrix Factorization for EEG Classification.
AISTATS
Hyekyoung Lee, Seungjin Choi
2009 J jnl
Kernel nonnegative matrix factorization for spectral EEG feature extraction.
Neurocomputing
Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi
2008 B conf
CUR+NMF for learning spectral features from large data matrix.
IJCNN
Hyekyoung Lee, Seungjin Choi
2008 J jnl
Non-negative matrix factorization with alpha-divergence.
Pattern Recognit. Lett.
Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi
2008 J jnl
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions.
Computer
Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li
2007 J jnl
Nonnegative Tensor Factorization for Continuous EEG Classification.
Int. J. Neural Syst.
Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi
2006 — conf
Nonnegative Matrix Factorization for Motor Imagery EEG Classification.
ICANN (2)
Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi
2003 — conf
ICA+OPCA for artifact-robust classification of EEG data.
NNSP
Sungcheol Park, Hyekyoung Lee, Seungjin Choi
2003 — conf
PCA+HMM+SVM for EEG pattern classification.
ISSPA (1)
Hyekyoung Lee, Seungjin Choi