Articles with public access mandates - Hyekyoung LeeLearn more
Not available anywhere: 1
Phase Angle Spatial Embedding (PhASE) A Kernel Method for Studying the Topology of the Human Functional Connectome
Z Morrissey, L Zhan, H Lee, J Keiriz, A Forbes, O Ajilore, A Leow, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Mandates: US National Institutes of Health
Available somewhere: 14
Deep learning only by normal brain PET identify unheralded brain anomalies
H Choi, S Ha, H Kang, H Lee, DS Lee
EBioMedicine 43, 447-453, 2019
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
Exact topological inference of the resting-state brain networks in twins
MK Chung, H Lee, A DiChristofano, H Ombao, V Solo
Network Neuroscience 3 (3), 674-694, 2019
Mandates: US National Institutes of Health
Exact Topological Inference for Paired Brain Networks via Persistent Homology
MK Chung, V Villalta-Gil, H Lee, PJ Rathouz, BB Lahey, DH Zald
Information Processing in Medical Imaging: 25th International Conference …, 2017
Mandates: US National Institutes of Health
Hole Detection in Metabolic Connectivity of Alzheimer’s Disease Using k −Laplacian
H Lee, MK Chung, H Kang, DS Lee
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Mandates: US National Institutes of Health
Topological distances between brain networks
MK Chung, H Lee, V Solo, RJ Davidson, SD Pollak
Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held …, 2017
Mandates: US National Institutes of Health
Persistent homological sparse network approach to detecting white matter abnormality in maltreated children: MRI and DTI multimodal study
MK Chung, JL Hanson, H Lee, N Adluru, AL Alexander, RJ Davidson, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
Mandates: US National Institutes of Health
Disrupted brain metabolic connectivity in a 6-OHDA-induced mouse model of Parkinson’s disease examined using persistent homology-based analysis
HJ Im, J Hahm, H Kang, H Choi, H Lee, DW Hwang, EE Kim, JK Chung, ...
Scientific reports 6 (1), 33875, 2016
Mandates: US Department of Veterans Affairs
Statistical inference on the number of cycles in brain networks
MK Chung, SG Huang, A Gritsenko, L Shen, H Lee
2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019
Mandates: US National Institutes of Health
Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety
M Xing, H Lee, Z Morrissey, MK Chung, KL Phan, H Klumpp, A Leow, ...
Neuroimage 186, 338-349, 2019
Mandates: US National Institutes of Health
Harmonic holes as the submodules of brain network and network dissimilarity
H Lee, MK Chung, H Choi, H Kang, S Ha, YK Kim, DS Lee
Computational Topology in Image Context: 7th International Workshop, CTIC …, 2019
Mandates: US National Institutes of Health
Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian
H Lee, MK Chung, H Kang, H Choi, YK Kim, DS Lee
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 20-23, 2018
Mandates: US National Institutes of Health
Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging
SG Kim, BB Avants, H Lee, JC Gee, MK Chung, RJ Davidson, JL Hanson, ...
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 42-45, 2012
Mandates: US National Institutes of Health
Coidentification of group-level hole structures in brain networks via Hodge Laplacian
H Lee, MK Chung, H Kang, H Choi, S Ha, Y Huh, E Kim, DS Lee
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Mandates: US National Institutes of Health
Phase angle spatial embedding (phase)
Z Morrissey, L Zhan, H Lee, J Keiriz, A Forbes, O Ajilore, A Leow, ...
Mandates: US National Institutes of Health
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