Moo K. Chung

According to our database1, Moo K. Chung authored at least 104 papers between 2003 and 2020.

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Bibliography

2020
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis.
IEEE Trans. Medical Imaging, 2020

Topological Learning for Brain Networks.
CoRR, 2020

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
CoRR, 2020

Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering.
CoRR, 2020

Introduction to logistic regression.
CoRR, 2020

Diffusion Equations on Graphs.
CoRR, 2020

Gaussian kernel smoothing.
CoRR, 2020

Dynamic Topological Data Analysis for Functional Brain Signals.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Twin Classification in Resting-State Brain Connectivity.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Altered dynamic electroencephalography connectome phase-space features of emotion regulation in social anxiety.
NeuroImage, 2019

Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis.
CoRR, 2019

Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Fast Polynomial Approximation to Heat Diffusion in Manifolds.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Rapid Acceleration of the Permutation Test via Transpositions.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Circular Pearson Correlation Using Cosine Series Expansion.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Statistical Inference on the Number of Cycles in Brain Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Statistical Persistent Homology of Brain Signals.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dynamic Functional Connectivity Using Heat Kernel.
Proceedings of the IEEE Data Science Workshop, 2019

Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity.
Proceedings of the Computational Topology in Image Context - 7th International Workshop, 2019

2018
Connectivity in fMRI: Blind Spots and Breakthroughs.
IEEE Trans. Medical Imaging, 2018

Topological Properties of the Structural Brain Network in Autism via ϵ-Neighbor Method.
IEEE Trans. Biomed. Eng., 2018

Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI.
CoRR, 2018

Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Exact Combinatorial Inference for Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion.
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Discrete Heat Kernel Smoothing in Irregular Image Domains.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Heritability of nested hierarchical structural brain network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Heat Kernel Smoothing in Irregular Image Domains.
CoRR, 2017

Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging.
Brain Connect., 2017

Topological Network Analysis of Electroencephalographic Power Maps.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Topological Distances Between Brain Networks.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Online Statistical Inference for Large-Scale Binary Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Exact Topological Inference for Paired Brain Networks via Persistent Homology.
Proceedings of the Information Processing in Medical Imaging, 2017

2015
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
IEEE Trans. Medical Imaging, 2015

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease.
NeuroImage, 2015

Manifold learning on brain functional networks in aging.
Medical Image Anal., 2015

A 4D hyperspherical interpretation of q-space.
Medical Image Anal., 2015

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

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., 2015

Linear Embedding of Large-Scale Brain Networks for Twin fMRI.
CoRR, 2015

Comparisons of topological properties in autism for the brain network construction methods.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Topological seizure origin detection in electroencephalographic signals.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

LARS network filtration in the study of EEG brain connectivity.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-resolution statistical analysis on graph structured data in neuroimaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Statistical inference models for image datasets with systematic variations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness.
NeuroImage, 2014

Tracing the evolution of multi-scale functional networks in a mouse model of depression using persistent brain network homology.
NeuroImage, 2014

Diffeomorphic metric mapping and probabilistic atlas generation of hybrid diffusion imaging based on BFOR signal basis.
Medical Image Anal., 2014

Improved statistical power with a sparse shape model in detecting an aging effect in the hippocampus and amygdala.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Unified Kernel Regression for Diffusion Wavelets on Manifolds Detects Aging-Related Changes in the Amygdala and Hippocampus.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Bessel Fourier Orientation Reconstruction (BFOR): An analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices.
NeuroImage, 2013

Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

4D Hyperspherical Harmonic (HyperSPHARM) Representation of Multiple Disconnected Brain Subcortical Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Diffeomorphic Metric Mapping of Hybrid Diffusion Imaging Based on BFOR Signal Basis.
Proceedings of the Information Processing in Medical Imaging, 2013

Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Persistent Brain Network Homology From the Perspective of Dendrogram.
IEEE Trans. Medical Imaging, 2012

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012

Extracting Quantitative Measures from EAP: A Small Clinical Study Using BFOR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2011

Sparse Brain Network Recovery Under Compressed Sensing.
IEEE Trans. Medical Imaging, 2011

Heat Kernel Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling.
Proceedings of the Advances in Image and Video Technology - 5th Pacific Rim Symposium, 2011

Applications of Epsilon Radial Networks in Neuroimage Analyses.
Proceedings of the Advances in Image and Video Technology - 5th Pacific Rim Symposium, 2011

Mandible shape modeling using the second eigenfunction of the Laplace-Beltrami operator.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Scalable brain network construction on white matter fibers.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction Using Multiple Shell Acquisitions in Diffusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Hot Spots Conjecture and Its Application to Modeling Tubular Structures.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Laplace-Beltrami eigenfunction expansion of cortical manifolds.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Discriminative persistent homology of brain networks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Structural connectivity via the tensor-based morphometry.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Sparse topological data recovery in medical images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
General multivariate linear modeling of surface shapes using SurfStat.
NeuroImage, 2010

Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis.
NeuroImage, 2009

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.
NeuroImage, 2009

Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Topological Characterization of Signal in Brain Images Using Min-Max Diagrams.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Persistence Diagrams of Cortical Surface Data.
Proceedings of the Information Processing in Medical Imaging, 2009

2008
Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation.
IEEE Trans. Medical Imaging, 2008

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Amygdala Surface Modeling with Weighted Spherical Harmonics.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

Quantifying cortical surface asymmetry via logistic discriminant analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter.
IEEE Trans. Medical Imaging, 2007

Integrating VBM into the General Linear Model with voxelwise anatomical covariates.
NeuroImage, 2007

Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation.
Proceedings of the Medical Imaging and Augmented Reality, 2006

Evaluation of anisotropic filters for diffusion tensor imaging.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Heat kernel smoothing on unit sphere.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics.
Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

2005
Cortical thickness analysis in autism with heat kernel smoothing.
NeuroImage, 2005

Unified Statistical Approach to Cortical Thickness Analysis.
Proceedings of the Information Processing in Medical Imaging, 2005

2004
Less white matter concentration in autism: 2D voxel-based morphometry.
NeuroImage, 2004

Diffusion Smoothing on Brain Surface via Finite Element Method.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Deformation-based surface morphometry applied to gray matter deformation.
NeuroImage, 2003

Tensor-based Brain Surface Modeling and Analysi.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003


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