Moo K. Chung

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 53

Top Venues

Publications

Jinghan Huang, Qiufeng Chen, Yijun Bian, Pengli Zhu, Nanguang Chen, Moo K. Chung, Anqi Qiu
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data. CoRR (2024)
Jinghan Huang, Moo K. Chung, Anqi Qiu
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. CoRR (2023)
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
Statistical inference for dependence networks in topological data analysis. Frontiers Artif. Intell. 6 (2023)
Moo K. Chung, Camille Garcia-Ramos, Felipe Branco De Paiva, Jedidiah Mathis, Vivek Prabhakaran, Veena A. Nair, Mary E. Meyerand, Bruce P. Hermann, Jeffrey R. Binder, Aaron F. Struck
Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance. NeuroImage 284 (2023)
Jinghan Huang, Moo K. Chung, Anqi Qiu
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. IPMI (2023)
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
Topological Data Analysis for Multivariate Time Series Data. Entropy 25 (11) (2023)
Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim
Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. MICCAI (5) (2023)
D. Vijay Anand, Moo K. Chung
Hodge Laplacian of Brain Networks. IEEE Trans. Medical Imaging 42 (5) (2023)
Zijian Chen, Soumya Das, Moo K. Chung
Sulcal Pattern Matching with the Wasserstein Distance. ISBI (2023)
Sixtus Dakurah, D. Vijay Anand, Zijian Chen, Moo K. Chung
Modelling Cycles in Brain Networks with the Hodge Laplacian. MICCAI (1) (2022)
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, Vince D. Calhoun, H. Hill Goldsmith
Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering. CoRR (2022)
Yuan Wang, Moo K. Chung, Julius Fridriksson
Spectral Permutation Test on Persistence Diagrams. ICASSP (2022)
Moo K. Chung, Hernando Ombao
Topological Data Analysis of COVID-19 Virus Spike Proteins. CoRR (2021)
Moo K. Chung, Alexander Smith, Gary Shiu
Reviews: Topological Distances and Losses for Brain Networks. CoRR (2021)
Shih-Gu Huang, Moo K. Chung, Anqi Qiu
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. Neural Comput. Appl. 33 (20) (2021)
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
Fast mesh data augmentation via Chebyshev polynomial of spectral filtering. Neural Networks 143 (2021)
Tananun Songdechakraiwut, Li Shen, Moo K. Chung
Topological Learning and Its Application to Multimodal Brain Network Integration. MICCAI (2) (2021)
Moo K. Chung, Hernando Ombao
Lattice Paths for Persistent Diagrams. iMIMIC/TDA4MedicalData@MICCAI (2021)
Moo K. Chung
Gaussian kernel smoothing. CoRR (2020)
Shih-Gu Huang, Moo K. Chung, Anqi Qiu
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering. CoRR (2020)
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. IEEE Trans. Medical Imaging 39 (6) (2020)
Arman P. Kulkarni, Moo K. Chung, Barbara B. Bendlin, Vivek Prabhakaran
Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams. ISBI Workshops (2020)
Moo K. Chung
Introduction to logistic regression. CoRR (2020)
Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
Twin Classification in Resting-State Brain Connectivity. ISBI (2020)
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. CoRR (2020)
Tananun Songdechakraiwut, Moo K. Chung
Topological Learning for Brain Networks. CoRR (2020)
Tananun Songdechakraiwut, Moo K. Chung
Dynamic Topological Data Analysis for Functional Brain Signals. ISBI Workshops (2020)
Moo K. Chung
Diffusion Equations on Graphs. CoRR (2020)
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung
Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. CoRR (2019)
Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee
Statistical Inference on the Number of Cycles in Brain Networks. ISBI (2019)
Shih-Gu Huang, Moo K. Chung, Ian C. Carroll, H. Hill Goldsmith
Dynamic Functional Connectivity Using Heat Kernel. DSW (2019)
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 (2019)
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)
Yuan Wang, Hernando Ombao, Moo K. Chung
Statistical Persistent Homology of Brain Signals. ICASSP (2019)
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)
Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
Circular Pearson Correlation Using Cosine Series Expansion. ISBI (2019)
Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen
Rapid Acceleration of the Permutation Test via Transpositions. CNI@MICCAI (2019)
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung
Fast Polynomial Approximation to Heat Diffusion in Manifolds. MICCAI (4) (2019)
Moo K. Chung, Zhan Luo, Alex D. Leow, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith
Exact Combinatorial Inference for Brain Images. MICCAI (1) (2018)
Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy
Connectivity in fMRI: Blind Spots and Breakthroughs. IEEE Trans. Medical Imaging 37 (7) (2018)
Moo K. Chung, Zhan Luo, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith
Heritability of nested hierarchical structural brain network. EMBC (2018)
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)
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)
Guorong Wu, Brent C. Munsell, Paul Laurienti, Moo K. Chung
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. CNI@MICCAI (2018)
Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung
Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. CoRR (2018)
Min-Hee Lee, Dong Youn Kim, Moo K. Chung, Andrew L. Alexander, Richard J. Davidson
Topological Properties of the Structural Brain Network in Autism via ϵ-Neighbor Method. IEEE Trans. Biomed. Eng. 65 (10) (2018)
Moo K. Chung, Yanli Wang, Guorong Wu
Discrete Heat Kernel Smoothing in Irregular Image Domains. EMBC (2018)
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)
Moo K. Chung, Ying Ji Chuang, Houri K. Vorperian
Online Statistical Inference for Large-Scale Binary Images. MICCAI (2) (2017)
Moo K. Chung, Hyekyoung Lee, Victor Solo, Richard J. Davidson, Seth D. Pollak
Topological Distances Between Brain Networks. CNI@MICCAI (2017)
Moo K. Chung, Jamie L. Hanson, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak
Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging. Brain Connect. 7 (6) (2017)
Moo K. Chung, Yanli Wang, Gurong Wu
Heat Kernel Smoothing in Irregular Image Domains. CoRR (2017)
Yuan Wang, Moo K. Chung, Daniela Dentico, Antoine Lutz, Richard J. Davidson
Topological Network Analysis of Electroencephalographic Power Maps. CNI@MICCAI (2017)
Min-Hee Lee, Dong Youn Kim, Sang-Hyeon Lee, Jinuk Kim, Moo K. Chung
Comparisons of topological properties in autism for the brain network construction methods. Medical Imaging: Image Processing (2015)
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage 118 (2015)
Yuan Wang, Moo K. Chung, David R. W. Bachhuber, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson
LARS network filtration in the study of EEG brain connectivity. ISBI (2015)
Ameer Pasha Hosseinbor, Moo K. Chung, Cheng Guan Koay, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Mattew J. Sutterer, Andrew L. Alexander, Richard J. Davidson
4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: A holistic treatment of multiple disconnected anatomical structures. Medical Image Anal. 22 (1) (2015)
Moo K. Chung, Anqi Qiu, Seongho Seo, Houri K. Vorperian
Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images. Medical Image Anal. 22 (1) (2015)
Moo K. Chung, Victoria G. Vilalta, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald
Linear Embedding of Large-Scale Brain Networks for Twin fMRI. CoRR (2015)
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry. IEEE Trans. Medical Imaging 34 (9) (2015)
Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI (2015)
Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh
Statistical inference models for image datasets with systematic variations. CVPR (2015)
Anqi Qiu, Annie Lee, Mingzhen Tan, Moo K. Chung
Manifold learning on brain functional networks in aging. Medical Image Anal. 20 (1) (2015)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Barbara B. Bendlin, Andrew L. Alexander
A 4D hyperspherical interpretation of q-space. Medical Image Anal. 21 (1) (2015)
Yuan Wang, Hernando Ombao, Moo K. Chung
Topological seizure origin detection in electroencephalographic signals. ISBI (2015)
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry. CoRR (2014)
Moo K. Chung, Seung-Goo Kim, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Mattew J. Sutterer, Richard J. Davidson
Improved statistical power with a sparse shape model in detecting an aging effect in the hippocampus and amygdala. Medical Imaging: Image Processing (2014)
Moo K. Chung, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Mattew J. Sutterer, Richard J. Davidson
A Unified Kernel Regression for Diffusion Wavelets on Manifolds Detects Aging-Related Changes in the Amygdala and Hippocampus. MICCAI (2) (2014)
Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung
The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. MICCAI (3) (2014)
Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage 93 (2014)
Arshi Khalid, Byung Sun Kim, Moo K. Chung, Jong Chul Ye, Daejong Jeon
Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology. NeuroImage 101 (2014)
Jia Du, Ameer Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu
Diffeomorphic metric mapping and probabilistic atlas generation of hybrid diffusion imaging based on BFOR signal basis. Medical Image Anal. 18 (7) (2014)
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)
Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR (2014)
Moo K. Chung, Anqi Qiu, Seongho Seo, Houri K. Vorperian
Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images. CoRR (2014)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
Bessel Fourier Orientation Reconstruction (BFOR): An analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices. NeuroImage 64 (2013)
Won Hwa Kim, Moo K. Chung, Vikas Singh
Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems. CVPR (2013)
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)
Ameer Pasha Hosseinbor, Moo K. Chung, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Mattew J. Sutterer, Andrew L. Alexander, Richard J. Davidson
4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures. MICCAI (1) (2013)
Jia Du, Ameer Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu
Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis. CoRR (2013)
Jia Du, Ameer Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu
Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis. IPMI (2013)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander, Barbara B. Bendlin
A 4D Hyperspherical Interpretation of q-space. MICCAI (3) (2013)
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Sylvia Charchut, Johnson J. GadElkarim, Lori L. Altshuler, Teena Moody, Anand R. Kumar, Vikas Singh, Alex D. Leow
Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. MICCAI (3) (2013)
Won Hwa Kim, Deepti Pachauri, Charles Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS (2012)
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) (2012)
Seung-Goo Kim, Moo K. Chung, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson
Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures. MMBIA (2012)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, John O. Fleming, Aaron S. Field, Andrew L. Alexander
Extracting Quantitative Measures from EAP: A Small Clinical Study Using BFOR. MICCAI (2) (2012)
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)
Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson
Scalable brain network construction on white matter fibers. Medical Imaging: Image Processing (2011)
Seung-Goo Kim, Moo K. Chung, Jamie L. Hanson, Brian B. Avants, James C. Gee, Richard J. Davidson, Seth D. Pollak
Structural connectivity via the tensor-based morphometry. ISBI (2011)
Seung-Goo Kim, Moo K. Chung, Seongho Seo, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson
Heat Kernel Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling. PSIVT (1) (2011)
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)
Seongho Seo, Moo K. Chung
Laplace-Beltrami eigenfunction expansion of cortical manifolds. ISBI (2011)
Seongho Seo, Moo K. Chung, Brian J. Whyms, Houri K. Vorperian
Mandible shape modeling using the second eigenfunction of the Laplace-Beltrami operator. Medical Imaging: Image Processing (2011)
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Chul Ye
Sparse topological data recovery in medical images. ISBI (2011)
Moo K. Chung, Seongho Seo, Nagesh Adluru, Houri K. Vorperian
Hot Spots Conjecture and Its Application to Modeling Tubular Structures. MLMI (2011)
Nagesh Adluru, Moo K. Chung, Nicholas T. Lange, Janet E. Lainhart, Andrew L. Alexander
Applications of Epsilon Radial Networks in Neuroimage Analyses. PSIVT (1) (2011)
Deepti Pachauri, Chris Hinrichs, Moo K. Chung, Sterling C. Johnson, Vikas Singh
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. IEEE Trans. Medical Imaging 30 (10) (2011)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI. MICCAI (2) (2011)
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) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Moo K. Chung