A Unified Statistical Approach to Deformation-Based Morphometry. - Moo K. Chung; Keith J. Worsley; Tomás Paus; C. Cherif; D. Louis Collins; Jay N. Giedd; Judith L. Rapoport; Alan C. Evans (NeuroImage, 2001)

Tensor-based Brain Surface Modeling and Analysi. - Moo K. Chung; Keith J. Worsley; Steve Robbins; Alan C. Evans (CVPR (1), 2003)

Deformation-based surface morphometry applied to gray matter deformation. - Moo K. Chung; Keith J. Worsley; Steve Robbins; Tomás Paus; Jonathan Taylor; Jay N. Giedd; Judith L. Rapoport; Alan C. Evans (NeuroImage, 2003)

Diffusion Smoothing on Brain Surface via Finite Element Method. - Moo K. Chung; Jonathan Taylor (ISBI, 2004)

Less white matter concentration in autism: 2D voxel-based morphometry. - Moo K. Chung; Kim M. Dalton; Andrew L. Alexander; Richard J. Davidson (NeuroImage, 2004)

Unified Statistical Approach to Cortical Thickness Analysis. - Moo K. Chung; Steve Robbins; Alan C. Evans (IPMI, 2005)

Cortical thickness analysis in autism with heat kernel smoothing. - Moo K. Chung; Steven M. Robbins; Kim M. Dalton; Richard J. Davidson; Andrew L. Alexander; Alan C. Evans (NeuroImage, 2005)

Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics. - Li Shen 001; Moo K. Chung (3DPVT, 2006)

Heat kernel smoothing on unit sphere. - Moo K. Chung (ISBI, 2006)

Evaluation of anisotropic filters for diffusion tensor imaging. - Jee Eun Lee; Moo K. Chung; Andrew L. Alexander (ISBI, 2006)

Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation. - Moo K. Chung; Li Shen 001; Kim M. Dalton; Richard J. Davidson (MIAR, 2006)

Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. - Li Shen 001; Andrew J. Saykin; Moo K. Chung; Heng Huang (BIBE, 2007)

Integrating VBM into the General Linear Model with voxelwise anatomical covariates. - Terrence R. Oakes; Andrew S. Fox; Tom Johnstone; Moo K. Chung; Ned H. Kalin; Richard J. Davidson (NeuroImage, 2007)

Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter. - Moo K. Chung; Kim M. Dalton; Li Shen 001; Alan C. Evans; Richard J. Davidson (IEEE Trans. Medical Imaging, 2007)

Quantifying cortical surface asymmetry via logistic discriminant analysis. - Moo K. Chung; Daniel J. Kelley; Kim M. Dalton; Richard J. Davidson (CVPR Workshops, 2008)

Amygdala Surface Modeling with Weighted Spherical Harmonics. - Moo K. Chung; Brendon M. Nacewicz; Shubing Wang; Kim M. Dalton; Seth D. Pollak; Richard J. Davidson (MIAR, 2008)

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. - Vikas Singh; Lopamudra Mukherjee; Moo K. Chung (MICCAI (1), 2008)

Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation. - Moo K. Chung; Kim M. Dalton; Richard J. Davidson (IEEE Trans. Medical Imaging, 2008)

Persistence Diagrams of Cortical Surface Data. - Moo K. Chung; Peter Bubenik; Peter T. Kim (IPMI, 2009)

3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data. - Moo K. Chung; Yu-Chien Wu; Andrew L. Alexander (ISBI, 2009)

Topological Characterization of Signal in Brain Images Using Min-Max Diagrams. - Moo K. Chung; Vikas Singh; Peter T. Kim; Kim M. Dalton; Richard J. Davidson (MICCAI (1), 2009)

Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration. - Ali R. Khan; Moo K. Chung; Mirza Faisal Beg (MICCAI (1), 2009)

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. - Chris Hinrichs; Vikas Singh; Lopamudra Mukherjee; Guofan Xu; Moo K. Chung; Sterling C. Johnson (NeuroImage, 2009)

A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis. - Jee Eun Lee; Moo K. Chung; Mariana Lazar; Molly B. DuBray; Jinsuh Kim; Erin D. Bigler; Janet E. Lainhart; Andrew L. Alexander (NeuroImage, 2009)

Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions. - Seongho Seo; Moo K. Chung; Houri K. Vorperian (MICCAI (3), 2010)

General multivariate linear modeling of surface shapes using SurfStat. - Moo K. Chung; Keith J. Worsley; Brendon M. Nacewicz; Kim M. Dalton; Richard J. Davidson (NeuroImage, 2010)

Sparse topological data recovery in medical images. - Moo K. Chung; Hyekyoung Lee; Peter T. Kim; Jong Chul Ye (ISBI, 2011)

Structural connectivity via the tensor-based morphometry. - Seung-Goo Kim; Moo K. Chung; Jamie L. Hanson; Brian B. Avants; James C. Gee; Richard J. Davidson; Seth D. Pollak (ISBI, 2011)

Discriminative persistent homology of brain networks. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Bung-Nyun Kim; Dong Soo Lee (ISBI, 2011)

Laplace-Beltrami eigenfunction expansion of cortical manifolds. - Seongho Seo; Moo K. Chung (ISBI, 2011)

Hot Spots Conjecture and Its Application to Modeling Tubular Structures. - Moo K. Chung; Seongho Seo; Nagesh Adluru; Houri K. Vorperian (MLMI, 2011)

Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI. - Ameer Pasha Hosseinbor; Moo K. Chung; Yu-Chien Wu; Andrew L. Alexander (MICCAI (2), 2011)

Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Boong-Nyun Kim; Dong Soo Lee (MICCAI (2), 2011)

Scalable brain network construction on white matter fibers. - Moo K. Chung; Nagesh Adluru; Kim M. Dalton; Andrew L. Alexander; Richard J. Davidson (Image Processing, 2011)

Mandible shape modeling using the second eigenfunction of the Laplace-Beltrami operator. - Seongho Seo; Moo K. Chung; Brian J. Whyms; Houri K. Vorperian (Image Processing, 2011)

Applications of Epsilon Radial Networks in Neuroimage Analyses. - Nagesh Adluru; Moo K. Chung; Nicholas T. Lange; Janet E. Lainhart; Andrew L. Alexander (PSIVT (1), 2011)

Heat Kernel Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling. - Seung-Goo Kim; Moo K. Chung; Seongho Seo; Stacey M. Schaefer; Carien M. van Reekum; Richard J. Davidson (PSIVT (1), 2011)

Sparse Brain Network Recovery Under Compressed Sensing. - Hyekyoung Lee; Dong Soo Lee; Hyejin Kang; Boong-Nyun Kim; Moo K. Chung (IEEE Trans. Medical Imaging, 2011)

Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. - Deepti Pachauri; Chris Hinrichs; Moo K. Chung; Sterling C. Johnson; Vikas Singh (IEEE Trans. Medical Imaging, 2011)

Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging. - Seung-Goo Kim; Brian B. Avants; Hyekyoung Lee; James C. Gee; Moo K. Chung; Richard J. Davidson; Jamie L. Hanson; Seth D. Pollak (ISBI, 2012)

Extracting Quantitative Measures from EAP: A Small Clinical Study Using BFOR. - Ameer Pasha Hosseinbor; Moo K. Chung; Yu-Chien Wu; John O. Fleming; Aaron S. Field; Andrew L. Alexander (MICCAI (2), 2012)

Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures. - Seung-Goo Kim; Moo K. Chung; Stacey M. Schaefer; Carien M. van Reekum; Richard J. Davidson (MMBIA, 2012)

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. - Won Hwa Kim; Deepti Pachauri; Charles R. Hatt; Moo K. Chung; Sterling C. Johnson; Vikas Singh (NIPS, 2012)

Persistent Brain Network Homology From the Perspective of Dendrogram. - Hyekyoung Lee; Hyejin Kang; Moo K. Chung; Bung-Nyun Kim; Dong Soo Lee (IEEE Trans. Medical Imaging, 2012)

Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems. - Won Hwa Kim; Moo K. Chung; Vikas Singh (CVPR, 2013)

Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis. - Jia Du; Ameer Pasha Hosseinbor; Moo K. Chung; Barbara B. Bendlin; Gaurav Suryawanshi; Andrew L. Alexander; Anqi Qiu (IPMI, 2013)

Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study. - Moo K. Chung; Jamie L. Hanson; Hyekyoung Lee; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; Seth D. Pollak (MICCAI (1), 2013)

4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures. - 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 (MICCAI (1), 2013)

Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. - 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 (MICCAI (3), 2013)

Bessel Fourier Orientation Reconstruction (BFOR): An analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices. - Ameer Pasha Hosseinbor; Moo K. Chung; Yu-Chien Wu; Andrew L. Alexander (NeuroImage, 2013)

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. - Hyunwoo J. Kim; Barbara B. Bendlin; Nagesh Adluru; Maxwell D. Collins; Moo K. Chung; Sterling C. Johnson; Richard J. Davidson; Vikas Singh (CVPR, 2014)

A Unified Kernel Regression for Diffusion Wavelets on Manifolds Detects Aging-Related Changes in the Amygdala and Hippocampus. - Moo K. Chung; Stacey M. Schaefer; Carien M. van Reekum; Lara Peschke-Schmitz; Mattew J. Sutterer; Richard J. Davidson (MICCAI (2), 2014)

The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. - Ameer Pasha Hosseinbor; Won Hwa Kim; Nagesh Adluru; Amit Acharya; Houri K. Vorperian; Moo K. Chung (MICCAI (3), 2014)

Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Dong Soo Lee (MICCAI (3), 2014)

Improved statistical power with a sparse shape model in detecting an aging effect in the hippocampus and amygdala. - Moo K. Chung; Seung-Goo Kim; Stacey M. Schaefer; Carien M. van Reekum; Lara Peschke-Schmitz; Mattew J. Sutterer; Richard J. Davidson (Image Processing, 2014)

Diffeomorphic metric mapping and probabilistic atlas generation of hybrid diffusion imaging based on BFOR signal basis. - Jia Du; Ameer Pasha Hosseinbor; Moo K. Chung; Barbara B. Bendlin; Gaurav Suryawanshi; Andrew L. Alexander; Anqi Qiu (Medical Image Anal., 2014)

Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology. - Arshi Khalid; Byung Sun Kim; Moo K. Chung; Jong Chul Ye; Daejong Jeon (NeuroImage, 2014)

Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. - Won Hwa Kim; Vikas Singh; Moo K. Chung; Chris Hinrichs; Deepti Pachauri; Ozioma C. Okonkwo; Sterling C. Johnson (NeuroImage, 2014)

Statistical inference models for image datasets with systematic variations. - Won Hwa Kim; Barbara B. Bendlin; Moo K. Chung; Sterling C. Johnson; Vikas Singh (CVPR, 2015)

Multi-resolution statistical analysis on graph structured data in neuroimaging. - Won Hwa Kim; Vikas Singh; Moo K. Chung; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson (ISBI, 2015)

LARS network filtration in the study of EEG brain connectivity. - Yuan Wang 057; Moo K. Chung; David R. W. Bachhuber; Stacey M. Schaefer; Carien M. van Reekum; Richard J. Davidson (ISBI, 2015)

Topological seizure origin detection in electroencephalographic signals. - Yuan Wang 057; Hernando Ombao; Moo K. Chung (ISBI, 2015)

Comparisons of topological properties in autism for the brain network construction methods. - Min-Hee Lee; Dong Youn Kim; Sang-Hyeon Lee; Jinuk Kim; Moo K. Chung (Image Processing, 2015)

Linear Embedding of Large-Scale Brain Networks for Twin fMRI. - Moo K. Chung; Victoria G. Vilalta; Paul J. Rathouz; Benjamin B. Lahey; David H. Zald (CoRR, 2015)

Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images. - Moo K. Chung; Anqi Qiu; Seongho Seo; Houri K. Vorperian (Medical Image Anal., 2015)

4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: A holistic treatment of multiple disconnected anatomical structures. - 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 (Medical Image Anal., 2015)

A 4D hyperspherical interpretation of q-space. - Ameer Pasha Hosseinbor; Moo K. Chung; Yu-Chien Wu; Barbara B. Bendlin; Andrew L. Alexander (Medical Image Anal., 2015)

Manifold learning on brain functional networks in aging. - Anqi Qiu; Annie Lee; Mingzhen Tan; Moo K. Chung (Medical Image Anal., 2015)

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. - Won Hwa Kim; Nagesh Adluru; Moo K. Chung; Ozioma C. Okonkwo; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (NeuroImage, 2015)

Persistent Homology in Sparse Regression and Its Application to Brain Morphometry. - Moo K. Chung; Jamie L. Hanson; Jieping Ye; Richard J. Davidson; Seth D. Pollak (IEEE Trans. Medical Imaging, 2015)

Exact Topological Inference for Paired Brain Networks via Persistent Homology. - Moo K. Chung; Victoria Villalta-Gil; Hyekyoung Lee; Paul J. Rathouz; Benjamin B. Lahey; David H. Zald (IPMI, 2017)

Online Statistical Inference for Large-Scale Binary Images. - Moo K. Chung; Ying Ji Chuang; Houri K. Vorperian (MICCAI (2), 2017)

Topological Distances Between Brain Networks. - Moo K. Chung; Hyekyoung Lee; Victor Solo; Richard J. Davidson; Seth D. Pollak (CNI@MICCAI, 2017)

Topological Network Analysis of Electroencephalographic Power Maps. - Yuan Wang 057; Moo K. Chung; Daniela Dentico; Antoine Lutz; Richard J. Davidson (CNI@MICCAI, 2017)

Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging. - Moo K. Chung; Jamie L. Hanson; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; Seth D. Pollak (Brain Connect., 2017)

Heat Kernel Smoothing in Irregular Image Domains. - Moo K. Chung; Yanli Wang; Gurong Wu (CoRR, 2017)

Heritability of nested hierarchical structural brain network. - Moo K. Chung; Zhan Luo; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; H. Hill Goldsmith (EMBC, 2018)

Discrete Heat Kernel Smoothing in Irregular Image Domains. - Moo K. Chung; Yanli Wang; Guorong Wu 001 (EMBC, 2018)

Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Hongyoon Choi; Yu Kyeong Kim; Dong Soo Lee (ISBI, 2018)

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. - Guorong Wu 001; Brent C. Munsell; Paul J. Laurienti; Moo K. Chung (CNI@MICCAI, 2018)

Exact Combinatorial Inference for Brain Images. - Moo K. Chung; Zhan Luo; Alex D. Leow; Andrew L. Alexander; Richard J. Davidson; H. Hill Goldsmith (MICCAI (1), 2018)

Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. - Zachery Morrissey; Liang Zhan; Hyekyoung Lee; Johnson J. G. Keiriz; Angus G. Forbes; Olusola Ajilore; Alex D. Leow; Moo K. Chung (MICCAI (3), 2018)

Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. - Andrey Gritsenko; Martin A. Lindquist; Gregory R. Kirk; Moo K. Chung (CoRR, 2018)

Topological Properties of the Structural Brain Network in Autism via ϵ-Neighbor Method. - Min-Hee Lee; Dong Youn Kim; Moo K. Chung; Andrew L. Alexander; Richard J. Davidson (IEEE Trans. Biomed. Eng., 2018)

Connectivity in fMRI: Blind Spots and Breakthroughs. - Victor Solo; Jean-Baptiste Poline; Martin A. Lindquist; Sean L. Simpson; F. DuBois Bowman; Moo K. Chung; Ben Cassidy (IEEE Trans. Medical Imaging, 2018)

Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity. - Hyekyoung Lee; Moo K. Chung; Hongyoon Choi; Hyejin Kang; Seunggyun Ha; Yu Kyeong Kim; Dong Soo Lee (CTIC, 2019)

Dynamic Functional Connectivity Using Heat Kernel. - Shih-Gu Huang; Moo K. Chung; Ian C. Carroll; H. Hill Goldsmith (DSW, 2019)

Statistical Persistent Homology of Brain Signals. - Yuan Wang 057; Hernando C. Ombao; Moo K. Chung (ICASSP, 2019)

Statistical Inference on the Number of Cycles in Brain Networks. - Moo K. Chung; Shih-Gu Huang; Andrey Gritsenko; Li Shen 001; Hyekyoung Lee (ISBI, 2019)

Circular Pearson Correlation Using Cosine Series Expansion. - Shih-Gu Huang; Andrey Gritsenko; Martin A. Lindquist; Moo K. Chung (ISBI, 2019)

Rapid Acceleration of the Permutation Test via Transpositions. - Moo K. Chung; Linhui Xie; Shih-Gu Huang; Yixian Wang; Jingwen Yan; Li Shen 001 (CNI@MICCAI, 2019)

Fast Polynomial Approximation to Heat Diffusion in Manifolds. - Shih-Gu Huang; Ilwoo Lyu; Anqi Qiu; Moo K. Chung (MICCAI (4), 2019)

Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian. - Hyekyoung Lee; Moo K. Chung; Hyejin Kang; Hongyoon Choi; Seunggyun Ha; Youngmin Huh; Eunkyung Kim; Dong Soo Lee (MICCAI (4), 2019)

Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. - Shih-Gu Huang; Ilwoo Lyu; Anqi Qiu; Moo K. Chung (CoRR, 2019)

Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety. - Mengqi Xing; Hyekyoung Lee; Zachery Morrissey; Moo K. Chung; K. Luan Phan; Heide Klumpp; Alex D. Leow; Olusola Ajilore (NeuroImage, 2019)

Twin Classification in Resting-State Brain Connectivity. - Andrey Gritsenko; Martin A. Lindquist; Moo K. Chung (ISBI, 2020)

Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams. - Arman P. Kulkarni; Moo K. Chung; Barbara B. Bendlin; Vivek Prabhakaran (ISBI Workshops, 2020)

Dynamic Topological Data Analysis for Functional Brain Signals. - Tananun Songdechakraiwut; Moo K. Chung (ISBI Workshops, 2020)

Gaussian kernel smoothing. - Moo K. Chung (CoRR, 2020)

Diffusion Equations on Graphs. - Moo K. Chung (CoRR, 2020)

Introduction to logistic regression. - Moo K. Chung (CoRR, 2020)

Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu (CoRR, 2020)

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2020)

Topological Learning for Brain Networks. - Tananun Songdechakraiwut; Moo K. Chung (CoRR, 2020)

Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. - Shih-Gu Huang; Ilwoo Lyu; Anqi Qiu; Moo K. Chung (IEEE Trans. Medical Imaging, 2020)

Lattice Paths for Persistent Diagrams. - Moo K. Chung; Hernando C. Ombao (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Topological Learning and Its Application to Multimodal Brain Network Integration. - Tananun Songdechakraiwut; Li Shen 001; Moo K. Chung (MICCAI (2), 2021)

Reviews: Topological Distances and Losses for Brain Networks. - Moo K. Chung; Alexander Smith 005; Gary Shiu (CoRR, 2021)

Topological Data Analysis of COVID-19 Virus Spike Proteins. - Moo K. Chung; Hernando C. Ombao (CoRR, 2021)

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu (Neural Comput. Appl., 2021)

Fast mesh data augmentation via Chebyshev polynomial of spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2021)

Spectral Permutation Test on Persistence Diagrams. - Yuan Wang 057; Moo K. Chung; Julius Fridriksson (ICASSP, 2022)

Modelling Cycles in Brain Networks with the Hodge Laplacian. - Sixtus Dakurah; D. Vijay Anand; Zijian Chen; Moo K. Chung (MICCAI (1), 2022)

Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering. - Moo K. Chung; Shih-Gu Huang; Ian C. Carroll; Vince D. Calhoun; H. Hill Goldsmith (CoRR, 2022)

Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. - Jinghan Huang 002; Moo K. Chung; Anqi Qiu (IPMI, 2023)

Sulcal Pattern Matching with the Wasserstein Distance. - Zijian Chen; Soumya Das; Moo K. Chung (ISBI, 2023)

Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. - Joonhyuk Park; Yechan Hwang; Minjeong Kim; Moo K. Chung; Guorong Wu 001; Won Hwa Kim (MICCAI (5), 2023)

Statistical inference for dependence networks in topological data analysis. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (Frontiers Artif. Intell., 2023)

Hodge Laplacian of Brain Networks. - D. Vijay Anand; Moo K. Chung (IEEE Trans. Medical Imaging, 2023)

Topological Data Analysis for Multivariate Time Series Data. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (Entropy, 2023)

Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance. - 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 (NeuroImage, 2023)

Hodge-Decomposition of Brain Networks. - D. Vijay Anand; Moo K. Chung (ISBI, 2024)

Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (TGI3@MICCAI, 2024)

Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data. - Jinghan Huang 002; Qiufeng Chen; Yijun Bian; Pengli Zhu; Nanguang Chen; Moo K. Chung; Anqi Qiu (CoRR, 2024)

Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals. - Anass B. El-Yaagoubi; Moo K. Chung; Hernando Ombao (Frontiers Neuroinformatics, 2024)

Topological state-space estimation of functional human brain networks. - Moo K. Chung; Shih-Gu Huang; Ian C. Carroll; Vince D. Calhoun; H. Hill Goldsmith (PLoS Comput. Biol., 2024)