Moo K. Chung

132 papers A* 3B 4C 1Misc 2Journal 55Unranked 67
YearRankTypeTitle / Venue / Authors
2025 J jnl
HL-HGAT: Heterogeneous Graph Attention Network via Hodge-Laplacian Operator.
IEEE Trans. Pattern Anal. Mach. Intell.
Jinghan Huang, Qiufeng Chen, Pengli Zhu, Yijun Bian, Nanguang Chen, Moo K. Chung, Anqi Qiu
2024 J jnl
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data.
CoRR
Jinghan Huang, Qiufeng Chen, Yijun Bian, Pengli Zhu, Nanguang Chen, Moo K. Chung, Anqi Qiu
2024 J jnl
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals.
Frontiers Neuroinformatics
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
2024 — conf
Hodge-Decomposition of Brain Networks.
ISBI
D. Vijay Anand, Moo K. Chung
2024 — conf
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity.
TGI3@MICCAI
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
2024 J jnl
Topological state-space estimation of functional human brain networks.
PLoS Comput. Biol.
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, Vince D. Calhoun, H. Hill Goldsmith
2023 — conf
Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis.
MICCAI (5)
Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim
2023 — conf
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data.
IPMI
Jinghan Huang, Moo K. Chung, Anqi Qiu
2023 J jnl
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data.
CoRR
Jinghan Huang, Moo K. Chung, Anqi Qiu
2023 J jnl
Hodge Laplacian of Brain Networks.
IEEE Trans. Medical Imaging
D. Vijay Anand, Moo K. Chung
2023 J jnl
Statistical inference for dependence networks in topological data analysis.
Frontiers Artif. Intell.
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
2023 — conf
Sulcal Pattern Matching with the Wasserstein Distance.
ISBI
Zijian Chen, Soumya Das, Moo K. Chung
2023 J jnl
Topological Data Analysis for Multivariate Time Series Data.
Entropy
Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
2023 J jnl
Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance.
NeuroImage
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
2022 J jnl
Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering.
CoRR
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, Vince D. Calhoun, H. Hill Goldsmith
2022 — conf
Modelling Cycles in Brain Networks with the Hodge Laplacian.
MICCAI (1)
Sixtus Dakurah, D. Vijay Anand, Zijian Chen, Moo K. Chung
2022 Misc conf
Spectral Permutation Test on Persistence Diagrams.
ICASSP
Yuan Wang, Moo K. Chung, Julius Fridriksson
2021 J jnl
Fast mesh data augmentation via Chebyshev polynomial of spectral filtering.
Neural Networks
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
2021 — conf
Lattice Paths for Persistent Diagrams.
iMIMIC/TDA4MedicalData@MICCAI
Moo K. Chung, Hernando C. Ombao
2021 J jnl
Reviews: Topological Distances and Losses for Brain Networks.
CoRR
Moo K. Chung, Alexander Smith, Gary Shiu
2021 J jnl
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
Neural Comput. Appl.
Shih-Gu Huang, Moo K. Chung, Anqi Qiu
2021 J jnl
Topological Data Analysis of COVID-19 Virus Spike Proteins.
CoRR
Moo K. Chung, Hernando C. Ombao
2021 — conf
Topological Learning and Its Application to Multimodal Brain Network Integration.
MICCAI (2)
Tananun Songdechakraiwut, Li Shen, Moo K. Chung
2020 J jnl
Diffusion Equations on Graphs.
CoRR
Moo K. Chung
2020 — conf
Dynamic Topological Data Analysis for Functional Brain Signals.
ISBI Workshops
Tananun Songdechakraiwut, Moo K. Chung
2020 J jnl
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering.
CoRR
Shih-Gu Huang, Moo K. Chung, Anqi Qiu
2020 J jnl
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis.
IEEE Trans. Medical Imaging
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung
2020 J jnl
Gaussian kernel smoothing.
CoRR
Moo K. Chung
2020 J jnl
Introduction to logistic regression.
CoRR
Moo K. Chung
2020 — conf
Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams.
ISBI Workshops
Arman P. Kulkarni, Moo K. Chung, Barbara B. Bendlin, Vivek Prabhakaran
2020 J jnl
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
CoRR
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative
2020 J jnl
Topological Learning for Brain Networks.
CoRR
Tananun Songdechakraiwut, Moo K. Chung
2020 — conf
Twin Classification in Resting-State Brain Connectivity.
ISBI
Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
2019 J jnl
Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety.
NeuroImage
Mengqi Xing, Hyekyoung Lee, Zachery Morrissey, Moo K. Chung, K. Luan Phan, Heide Klumpp, Alex D. Leow, Olusola Ajilore
2019 — conf
Circular Pearson Correlation Using Cosine Series Expansion.
ISBI
Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung
2019 — conf
Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian.
MICCAI (4)
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Seunggyun Ha, Youngmin Huh, Eunkyung Kim, Dong Soo Lee
2019 — conf
Dynamic Functional Connectivity Using Heat Kernel.
DSW
Shih-Gu Huang, Moo K. Chung, Ian C. Carroll, H. Hill Goldsmith
2019 J jnl
Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis.
CoRR
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung
2019 — conf
Fast Polynomial Approximation to Heat Diffusion in Manifolds.
MICCAI (4)
Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung
2019 — conf
Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity.
CTIC
Hyekyoung Lee, Moo K. Chung, Hongyoon Choi, Hyejin Kang, Seunggyun Ha, Yu Kyeong Kim, Dong Soo Lee
2019 — conf
Rapid Acceleration of the Permutation Test via Transpositions.
CNI@MICCAI
Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen
2019 — conf
Statistical Inference on the Number of Cycles in Brain Networks.
ISBI
Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee
2019 Misc conf
Statistical Persistent Homology of Brain Signals.
ICASSP
Yuan Wang, Hernando C. Ombao, Moo K. Chung
2018 — conf
Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian.
ISBI
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Hongyoon Choi, Yu Kyeong Kim, Dong Soo Lee
2018 J jnl
Connectivity in fMRI: Blind Spots and Breakthroughs.
IEEE Trans. Medical Imaging
Victor Solo, Jean-Baptiste Poline, Martin A. Lindquist, Sean L. Simpson, F. DuBois Bowman, Moo K. Chung, Ben Cassidy
2018 — conf
Discrete Heat Kernel Smoothing in Irregular Image Domains.
EMBC
Moo K. Chung, Yanli Wang, Guorong Wu
2018 — conf
Exact Combinatorial Inference for Brain Images.
MICCAI (1)
Moo K. Chung, Zhan Luo, Alex D. Leow, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith
2018 — conf
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion.
CNI@MICCAI
Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung
2018 — conf
Heritability of nested hierarchical structural brain network.
EMBC
Moo K. Chung, Zhan Luo, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith
2018 J jnl
Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI.
CoRR
Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung
2018 — conf
Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome.
MICCAI (3)
Zachery Morrissey, Liang Zhan, Hyekyoung Lee, Johnson J. G. Keiriz, Angus G. Forbes, Olusola Ajilore, Alex D. Leow, Moo K. Chung
2018 J jnl
Topological Properties of the Structural Brain Network in Autism via ϵ-Neighbor Method.
IEEE Trans. Biomed. Eng.
Min-Hee Lee, Dong Youn Kim, Moo K. Chung, Andrew L. Alexander, Richard J. Davidson
2017 — conf
Exact Topological Inference for Paired Brain Networks via Persistent Homology.
IPMI
Moo K. Chung, Victoria Villalta-Gil, Hyekyoung Lee, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald
2017 J jnl
Heat Kernel Smoothing in Irregular Image Domains.
CoRR
Moo K. Chung, Yanli Wang, Gurong Wu
2017 J jnl
Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging.
Brain Connect.
Moo K. Chung, Jamie L. Hanson, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak
2017 — conf
Online Statistical Inference for Large-Scale Binary Images.
MICCAI (2)
Moo K. Chung, Ying Ji Chuang, Houri K. Vorperian
2017 — conf
Topological Distances Between Brain Networks.
CNI@MICCAI
Moo K. Chung, Hyekyoung Lee, Victor Solo, Richard J. Davidson, Seth D. Pollak
2017 — conf
Topological Network Analysis of Electroencephalographic Power Maps.
CNI@MICCAI
Yuan Wang, Moo K. Chung, Daniela Dentico, Antoine Lutz, Richard J. Davidson
2015 J jnl
4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: A holistic treatment of multiple disconnected anatomical structures.
Medical Image Anal.
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
2015 J jnl
A 4D hyperspherical interpretation of q-space.
Medical Image Anal.
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Barbara B. Bendlin, Andrew L. Alexander
2015 B conf
Comparisons of topological properties in autism for the brain network construction methods.
Image Processing
Min-Hee Lee, Dong Youn Kim, Sang-Hyeon Lee, Jinuk Kim, Moo K. Chung
2015 — conf
LARS network filtration in the study of EEG brain connectivity.
ISBI
Yuan Wang, Moo K. Chung, David R. W. Bachhuber, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson
2015 J jnl
Linear Embedding of Large-Scale Brain Networks for Twin fMRI.
CoRR
Moo K. Chung, Victoria G. Vilalta, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald
2015 J jnl
Manifold learning on brain functional networks in aging.
Medical Image Anal.
Anqi Qiu, Annie Lee, Mingzhen Tan, Moo K. Chung
2015 J jnl
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease.
NeuroImage
Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2015 — conf
Multi-resolution statistical analysis on graph structured data in neuroimaging.
ISBI
Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
2015 J jnl
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
IEEE Trans. Medical Imaging
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak
2015 A* conf
Statistical inference models for image datasets with systematic variations.
CVPR
Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2015 — conf
Topological seizure origin detection in electroencephalographic signals.
ISBI
Yuan Wang, Hernando Ombao, Moo K. Chung
2015 J jnl
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.
Moo K. Chung, Anqi Qiu, Seongho Seo, Houri K. Vorperian
2014 — conf
A Unified Kernel Regression for Diffusion Wavelets on Manifolds Detects Aging-Related Changes in the Amygdala and Hippocampus.
MICCAI (2)
Moo K. Chung, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Mattew J. Sutterer, Richard J. Davidson
2014 J jnl
Diffeomorphic metric mapping and probabilistic atlas generation of hybrid diffusion imaging based on BFOR signal basis.
Medical Image Anal.
Jia Du, Ameer Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu
2014 — conf
Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian.
MICCAI (3)
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Dong Soo Lee
2014 B conf
Improved statistical power with a sparse shape model in detecting an aging effect in the hippocampus and amygdala.
Image Processing
Moo K. Chung, Seung-Goo Kim, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke-Schmitz, Mattew J. Sutterer, Richard J. Davidson
2014 J jnl
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness.
NeuroImage
Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
2014 A* conf
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.
CVPR
Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
2014 J jnl
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
CoRR
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak
2014 — conf
The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation.
MICCAI (3)
Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung
2014 J jnl
Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology.
NeuroImage
Arshi Khalid, Byung Sun Kim, Moo K. Chung, Jong Chul Ye, Daejong Jeon
2014 J jnl
Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images.
CoRR
Moo K. Chung, Anqi Qiu, Seongho Seo, Houri K. Vorperian
2013 — conf
4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures.
MICCAI (1)
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
2013 — conf
A 4D Hyperspherical Interpretation of q-space.
MICCAI (3)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander, Barbara B. Bendlin
2013 J jnl
Bessel Fourier Orientation Reconstruction (BFOR): An analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices.
NeuroImage
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
2013 J jnl
Diffeomorphic Metric Mapping and Probabilistic Atlas Generation of Hybrid Diffusion Imaging based on BFOR Signal Basis.
CoRR
Jia Du, Ameer Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu
2013 — conf
Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis.
IPMI
Jia Du, Ameer Pasha Hosseinbor, Moo K. Chung, Barbara B. Bendlin, Gaurav Suryawanshi, Andrew L. Alexander, Anqi Qiu
2013 A* conf
Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems.
CVPR
Won Hwa Kim, Moo K. Chung, Vikas Singh
2013 — conf
Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space.
MICCAI (3)
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
2013 — conf
Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study.
MICCAI (1)
Moo K. Chung, Jamie L. Hanson, Hyekyoung Lee, Nagesh Adluru, Andrew L. Alexander, Richard J. Davidson, Seth D. Pollak
2012 — conf
Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging.
ISBI
Seung-Goo Kim, Brian B. Avants, Hyekyoung Lee, James C. Gee, Moo K. Chung, Richard J. Davidson, Jamie L. Hanson, Seth D. Pollak
2012 — conf
Extracting Quantitative Measures from EAP: A Small Clinical Study Using BFOR.
MICCAI (2)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, John O. Fleming, Aaron S. Field, Andrew L. Alexander
2012 J jnl
Persistent Brain Network Homology From the Perspective of Dendrogram.
IEEE Trans. Medical Imaging
Hyekyoung Lee, Hyejin Kang, Moo K. Chung, Bung-Nyun Kim, Dong Soo Lee
2012 — conf
Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures.
MMBIA
Seung-Goo Kim, Moo K. Chung, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson
2012 — conf
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination.
NIPS
Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2011 — conf
Applications of Epsilon Radial Networks in Neuroimage Analyses.
PSIVT (1)
Nagesh Adluru, Moo K. Chung, Nicholas T. Lange, Janet E. Lainhart, Andrew L. Alexander
2011 — conf
Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI.
MICCAI (2)
Ameer Pasha Hosseinbor, Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
2011 — conf
Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric.
MICCAI (2)
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Boong-Nyun Kim, Dong Soo Lee
2011 — conf
Discriminative persistent homology of brain networks.
ISBI
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyun Kim, Dong Soo Lee
2011 — conf
Heat Kernel Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling.
PSIVT (1)
Seung-Goo Kim, Moo K. Chung, Seongho Seo, Stacey M. Schaefer, Carien M. van Reekum, Richard J. Davidson
2011 — conf
Hot Spots Conjecture and Its Application to Modeling Tubular Structures.
MLMI
Moo K. Chung, Seongho Seo, Nagesh Adluru, Houri K. Vorperian
2011 — conf
Laplace-Beltrami eigenfunction expansion of cortical manifolds.
ISBI
Seongho Seo, Moo K. Chung
2011 B conf
Mandible shape modeling using the second eigenfunction of the Laplace-Beltrami operator.
Image Processing
Seongho Seo, Moo K. Chung, Brian J. Whyms, Houri K. Vorperian
2011 B conf
Scalable brain network construction on white matter fibers.
Image Processing
Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson
2011 J jnl
Sparse Brain Network Recovery Under Compressed Sensing.
IEEE Trans. Medical Imaging
Hyekyoung Lee, Dong Soo Lee, Hyejin Kang, Boong-Nyun Kim, Moo K. Chung
2011 — conf
Sparse topological data recovery in medical images.
ISBI
Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Chul Ye
2011 — conf
Structural connectivity via the tensor-based morphometry.
ISBI
Seung-Goo Kim, Moo K. Chung, Jamie L. Hanson, Brian B. Avants, James C. Gee, Richard J. Davidson, Seth D. Pollak
2011 J jnl
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease.
IEEE Trans. Medical Imaging
Deepti Pachauri, Chris Hinrichs, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2010 J jnl
General multivariate linear modeling of surface shapes using SurfStat.
NeuroImage
Moo K. Chung, Keith J. Worsley, Brendon M. Nacewicz, Kim M. Dalton, Richard J. Davidson
2010 — conf
Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions.
MICCAI (3)
Seongho Seo, Moo K. Chung, Houri K. Vorperian
2009 — conf
3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data.
ISBI
Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander
2009 J jnl
A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis.
NeuroImage
Jee Eun Lee, Moo K. Chung, Mariana Lazar, Molly B. DuBray, Jinsuh Kim, Erin D. Bigler, Janet E. Lainhart, Andrew L. Alexander
2009 — conf
Persistence Diagrams of Cortical Surface Data.
IPMI
Moo K. Chung, Peter Bubenik, Peter T. Kim
2009 — conf
Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration.
MICCAI (1)
Ali R. Khan, Moo K. Chung, Mirza Faisal Beg
2009 J jnl
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.
NeuroImage
Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson
2009 — conf
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams.
MICCAI (1)
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M. Dalton, Richard J. Davidson
2008 — conf
Amygdala Surface Modeling with Weighted Spherical Harmonics.
MIAR
Moo K. Chung, Brendon M. Nacewicz, Shubing Wang, Kim M. Dalton, Seth D. Pollak, Richard J. Davidson
2008 — conf
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification.
MICCAI (1)
Vikas Singh, Lopamudra Mukherjee, Moo K. Chung
2008 — conf
Quantifying cortical surface asymmetry via logistic discriminant analysis.
CVPR Workshops
Moo K. Chung, Daniel J. Kelley, Kim M. Dalton, Richard J. Davidson
2008 J jnl
Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation.
IEEE Trans. Medical Imaging
Moo K. Chung, Kim M. Dalton, Richard J. Davidson
2007 J jnl
Integrating VBM into the General Linear Model with voxelwise anatomical covariates.
NeuroImage
Terrence R. Oakes, Andrew S. Fox, Tom Johnstone, Moo K. Chung, Ned H. Kalin, Richard J. Davidson
2007 C conf
Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study.
BIBE
Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang
2007 J jnl
Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter.
IEEE Trans. Medical Imaging
Moo K. Chung, Kim M. Dalton, Li Shen, Alan C. Evans, Richard J. Davidson
2006 — conf
Evaluation of anisotropic filters for diffusion tensor imaging.
ISBI
Jee Eun Lee, Moo K. Chung, Andrew L. Alexander
2006 — conf
Heat kernel smoothing on unit sphere.
ISBI
Moo K. Chung
2006 — conf
Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics.
3DPVT
Li Shen, Moo K. Chung
2006 — conf
Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation.
MIAR
Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson
2005 J jnl
Cortical thickness analysis in autism with heat kernel smoothing.
NeuroImage
Moo K. Chung, Steven M. Robbins, Kim M. Dalton, Richard J. Davidson, Andrew L. Alexander, Alan C. Evans
2005 — conf
Unified Statistical Approach to Cortical Thickness Analysis.
IPMI
Moo K. Chung, Steve Robbins, Alan C. Evans
2004 — conf
Diffusion Smoothing on Brain Surface via Finite Element Method.
ISBI
Moo K. Chung, Jonathan Taylor
2004 J jnl
Less white matter concentration in autism: 2D voxel-based morphometry.
NeuroImage
Moo K. Chung, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson
2003 J jnl
Deformation-based surface morphometry applied to gray matter deformation.
NeuroImage
Moo K. Chung, Keith J. Worsley, Steve Robbins, Tomás Paus, Jonathan Taylor, Jay N. Giedd, Judith L. Rapoport, Alan C. Evans
2003 — conf
Tensor-based Brain Surface Modeling and Analysi.
CVPR (1)
Moo K. Chung, Keith J. Worsley, Steve Robbins, Alan C. Evans
2001 J jnl
A Unified Statistical Approach to Deformation-Based Morphometry.
NeuroImage
Moo K. Chung, Keith J. Worsley, Tomás Paus, C. Cherif, D. Louis Collins, Jay N. Giedd, Judith L. Rapoport, Alan C. Evans