Hyekyoung Lee

发表

Weighted Functional Brain Network Modeling via Network Filtration

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2012 .

Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2014, MICCAI.

PCA+HMM+SVM for EEG pattern classification

Seungjin Choi, Hyekyoung Lee, Hyekyoung Lee, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study

Moo K. Chung, Jamie L. Hanson, Richard J. Davidson, 2013, MICCAI.

ICA+OPCA for artifact-robust classification of EEG data

Seungjin Choi, Hyekyoung Lee, Sungcheol Park, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology

Hyekyoung Lee, Hyejin Kang, Dong Soo Lee, 2014, NeuroImage.

Volume entropy for modeling information flow in a brain graph

Eunkyung Kim, Hyekyoung Lee, Hyejin Kang, 2019, Scientific Reports.

CUR+NMF for learning spectral features from large data matrix

Seungjin Choi, Hyekyoung Lee, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Semi-Supervised Nonnegative Matrix Factorization

Seungjin Choi, Hyekyoung Lee, Jiho Yoo, 2010, IEEE Signal Processing Letters.

Sparse brain network using penalized linear regression

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2011, Medical Imaging.

Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2018, CTIC.

Sparse topological data recovery in medical images

Moo K. Chung, Jong Chul Ye, Hyekyoung Lee, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Sparse Brain Network Recovery Under Compressed Sensing

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2011, IEEE Transactions on Medical Imaging.

Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging

Brian B. Avants, Moo K. Chung, James C. Gee, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Topological Brain Network Distances

Victor Solo, Moo K. Chung, Hernando Ombao, 2018, 1809.03878.

Integrated multimodal network approach to PET and MRI based on multidimensional persistent homology

Hyekyoung Lee, Hyejin Kang, Bung-Nyun Kim, 2014, Human brain mapping.

Nonnegative Matrix Factorization for Motor Imagery EEG Classification

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2006, ICANN.

Brain Networks Engaged in Audiovisual Integration During Speech Perception Revealed by Persistent Homology-Based Network Filtration

Heejung Kim, Hyekyoung Lee, Hyejin Kang, 2015, Brain Connect..

Nonnegative Tensor Factorization for Continuous EEG Classification

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2007, Int. J. Neural Syst..

Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Topological Distances Between Brain Networks

Victor Solo, Moo K. Chung, Richard J. Davidson, 2017, CNI@MICCAI.

Group Nonnegative Matrix Factorization for EEG Classification

Seungjin Choi, Hyekyoung Lee, Hyekyoung Lee, 2009, AISTATS.

Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2011, MICCAI.

Discriminative persistent homology of brain networks

Moo K. Chung, Hyekyoung Lee, Hyejin Kang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety

Moo K. Chung, Alex D. Leow, K. Luan Phan, 2019, NeuroImage.

Kernel nonnegative matrix factorization for spectral EEG feature extraction

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2009, Neurocomputing.

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

Liqing Zhang, Yuanqing Li, Andrzej Cichocki, 2008, Computer.

Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome

Moo K. Chung, Alex D. Leow, Angus G. Forbes, 2018, MICCAI.