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Hyekyoung Lee
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2010 – 2019
- 2019
- [j10]Mengqi Xing, Hyekyoung Lee, Zachery Morrissey, Moo K. Chung, K. Luan Phan, Heide Klumpp, Alex D. Leow, Olusola Ajilore:
Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety. NeuroImage 186: 338-349 (2019) - [c18]Hyekyoung Lee, Moo K. Chung, Hongyoon Choi, Hyejin Kang, Seunggyun Ha, Yu Kyeong Kim, Dong Soo Lee:
Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity. CTIC 2019: 110-122 - [c17]Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee:
Statistical Inference on the Number of Cycles in Brain Networks. ISBI 2019: 113-116 - [c16]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Seunggyun Ha, Youngmin Huh, Eunkyung Kim, Dong Soo Lee:
Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian. MICCAI (4) 2019: 674-682 - 2018
- [c15]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Yu Kyeong Kim, Dong Soo Lee:
Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian. ISBI 2018: 20-23 - [c14]Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung:
Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. MICCAI (3) 2018: 367-374 - 2017
- [c13]Moo K. Chung, Victoria Villalta-Gil, Hyekyoung Lee, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald:
Exact Topological Inference for Paired Brain Networks via Persistent Homology. IPMI 2017: 299-310 - [c12]Moo K. Chung, Hyekyoung Lee, Victor Solo, Richard J. Davidson, Seth D. Pollak:
Topological Distances Between Brain Networks. CNI@MICCAI 2017: 161-170 - 2015
- [j9]Heejung Kim, Jarang Hahm, Hyekyoung Lee, Eunjoo Kang, Hyejin Kang, Dong Soo Lee:
Brain Networks Engaged in Audiovisual Integration During Speech Perception Revealed by Persistent Homology-Based Network Filtration. Brain Connect. 5(4): 245-258 (2015) - 2014
- [j8]Hongyoon Choi, Yu Kyeong Kim, Hyejin Kang, Hyekyoung Lee, Hyung Jun Im, Do Won Hwang, E. Edmund Kim, June-Key Chung, Dong Soo Lee:
Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology. NeuroImage 99: 226-236 (2014) - [c11]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Dong Soo Lee:
Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian. MICCAI (3) 2014: 297-304 - 2013
- [c10]Moo K. Chung, Jamie L. Hanson, Hyekyoung Lee, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak:
Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study. MICCAI (1) 2013: 300-307 - 2012
- [j7]Hyekyoung Lee, Hyejin Kang, Moo K. Chung, Bung-Nyun Kim, Dong Soo Lee:
Persistent Brain Network Homology From the Perspective of Dendrogram. IEEE Trans. Medical Imaging 31(12): 2267-2277 (2012) - [c9]Seung-Goo Kim, Brian B. Avants, Hyekyoung Lee, James C. Gee, Moo K. Chung, Richard J. Davidson, Jamie L. Hanson, Seth D. Pollak:
Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging. ISBI 2012: 42-45 - 2011
- [j6]Hyekyoung Lee, Dong Soo Lee, Hyejin Kang, Boong-Nyun Kim, Moo K. Chung:
Sparse Brain Network Recovery Under Compressed Sensing. IEEE Trans. Medical Imaging 30(5): 1154-1165 (2011) - [c8]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyun Kim, Dong Soo Lee:
Discriminative persistent homology of brain networks. ISBI 2011: 841-844 - [c7]Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Chul Ye:
Sparse topological data recovery in medical images. ISBI 2011: 1125-1129 - [c6]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Boong-Nyun Kim, Dong Soo Lee:
Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric. MICCAI (2) 2011: 302-309 - 2010
- [j5]Hyekyoung Lee, Jiho Yoo, Seungjin Choi:
Semi-Supervised Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 17(1): 4-7 (2010)
2000 – 2009
- 2009
- [j4]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing 72(13-15): 3182-3190 (2009) - [c5]Hyekyoung Lee, Seungjin Choi:
Group Nonnegative Matrix Factorization for EEG Classification. AISTATS 2009: 320-327 - 2008
- [j3]Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li:
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41(10): 34-42 (2008) - [j2]Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi:
Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. 29(9): 1433-1440 (2008) - [c4]Hyekyoung Lee, Seungjin Choi:
CUR+NMF for learning spectral features from large data matrix. IJCNN 2008: 1592-1597 - 2007
- [j1]Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. 17(4): 305-317 (2007) - 2006
- [c3]Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) 2006: 250-259 - 2003
- [c2]Hyekyoung Lee, Seungjin Choi:
PCA+HMM+SVM for EEG pattern classification. ISSPA (1) 2003: 541-544 - [c1]Sungcheol Park, Hyekyoung Lee, Seungjin Choi:
ICA+OPCA for artifact-robust classification of EEG data. NNSP 2003: 585-594
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