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2020 – today
- 2024
[j35]Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao
:
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals. Frontiers Neuroinformatics 18 (2024)- [c77]D. Vijay Anand, Moo K. Chung:
Hodge-Decomposition of Brain Networks. ISBI 2024: 1-5 - [c76]Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao:
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity. TGI3@MICCAI 2024: 134-145 - [i18]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 abs/2403.06687 (2024) - 2023
- [j34]Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao:
Topological Data Analysis for Multivariate Time Series Data. Entropy 25(11): 1509 (2023) - [j33]Anass B. El-Yaagoubi, Moo K. Chung, Hernando Ombao:
Statistical inference for dependence networks in topological data analysis. Frontiers Artif. Intell. 6 (2023) - [j32]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: 120436 (2023) - [j31]D. Vijay Anand, Moo K. Chung:
Hodge Laplacian of Brain Networks. IEEE Trans. Medical Imaging 42(5): 1563-1573 (2023) - [c75]Jinghan Huang, Moo K. Chung, Anqi Qiu:
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. IPMI 2023: 278-290 - [c74]Zijian Chen, Soumya Das, Moo K. Chung:
Sulcal Pattern Matching with the Wasserstein Distance. ISBI 2023: 1-5 - [c73]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: 789-799 - [i17]Jinghan Huang, Moo K. Chung, Anqi Qiu:
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data. CoRR abs/2302.09323 (2023) - 2022
- [c72]Yuan Wang, Moo K. Chung, Julius Fridriksson:
Spectral Permutation Test on Persistence Diagrams. ICASSP 2022: 1461-1465 - [c71]Sixtus Dakurah, D. Vijay Anand, Zijian Chen, Moo K. Chung:
Modelling Cycles in Brain Networks with the Hodge Laplacian. MICCAI (1) 2022: 326-335 - [i16]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 abs/2201.00087 (2022) - 2021
- [j30]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): 13693-13704 (2021) - [j29]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: 198-208 (2021) - [c70]Moo K. Chung, Hernando C. Ombao:
Lattice Paths for Persistent Diagrams. iMIMIC/TDA4MedicalData@MICCAI 2021: 77-86 - [c69]Tananun Songdechakraiwut, Li Shen, Moo K. Chung:
Topological Learning and Its Application to Multimodal Brain Network Integration. MICCAI (2) 2021: 166-176 - [i15]Moo K. Chung, Alexander Smith, Gary Shiu:
Reviews: Topological Distances and Losses for Brain Networks. CoRR abs/2102.08623 (2021) - [i14]Moo K. Chung, Hernando C. Ombao:
Topological Data Analysis of COVID-19 Virus Spike Proteins. CoRR abs/2105.00351 (2021) - 2020
- [j28]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): 2201-2212 (2020) - [c68]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: 1-4 - [c67]Tananun Songdechakraiwut, Moo K. Chung:
Dynamic Topological Data Analysis for Functional Brain Signals. ISBI Workshops 2020: 1-4 - [c66]Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung:
Twin Classification in Resting-State Brain Connectivity. ISBI 2020: 1391-1394 - [i13]Moo K. Chung:
Gaussian kernel smoothing. CoRR abs/2007.09539 (2020) - [i12]Moo K. Chung:
Diffusion Equations on Graphs. CoRR abs/2007.13742 (2020) - [i11]Moo K. Chung:
Introduction to logistic regression. CoRR abs/2008.13567 (2020) - [i10]Shih-Gu Huang, Moo K. Chung, Anqi Qiu:
Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering. CoRR abs/2010.02811 (2020) - [i9]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 abs/2010.13269 (2020) - [i8]Tananun Songdechakraiwut, Moo K. Chung:
Topological Learning for Brain Networks. CoRR abs/2012.00675 (2020)
2010 – 2019
- 2019
- [j27]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: 338-349 (2019) - [c65]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: 110-122 - [c64]Shih-Gu Huang, Moo K. Chung, Ian C. Carroll, H. Hill Goldsmith:
Dynamic Functional Connectivity Using Heat Kernel. DSW 2019: 222-226 - [c63]Yuan Wang, Hernando C. Ombao, Moo K. Chung:
Statistical Persistent Homology of Brain Signals. ICASSP 2019: 1125-1129 - [c62]Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee:
Statistical Inference on the Number of Cycles in Brain Networks. ISBI 2019: 113-116 - [c61]Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung:
Circular Pearson Correlation Using Cosine Series Expansion. ISBI 2019: 1774-1777 - [c60]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: 42-53 - [c59]Shih-Gu Huang, Ilwoo Lyu, Anqi Qiu, Moo K. Chung:
Fast Polynomial Approximation to Heat Diffusion in Manifolds. MICCAI (4) 2019: 48-56 - [c58]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: 674-682 - [i7]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 abs/1911.02721 (2019) - 2018
- [j26]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): 2323-2333 (2018) - [j25]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): 1537-1550 (2018) - [c57]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: 554-557 - [c56]Moo K. Chung, Yanli Wang, Guorong Wu:
Discrete Heat Kernel Smoothing in Irregular Image Domains. EMBC 2018: 5101-5104 - [c55]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: 20-23 - [c54]Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung:
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. CNI@MICCAI 2018: 127-135 - [c53]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: 367-374 - [c52]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: 629-637 - [i6]Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung:
Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. CoRR abs/1807.00244 (2018) - 2017
- [j24]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): 331-346 (2017) - [c51]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: 299-310 - [c50]Yuan Wang, Moo K. Chung, Daniela Dentico, Antoine Lutz, Richard J. Davidson:
Topological Network Analysis of Electroencephalographic Power Maps. CNI@MICCAI 2017: 134-142 - [c49]Moo K. Chung, Hyekyoung Lee, Victor Solo, Richard J. Davidson, Seth D. Pollak:
Topological Distances Between Brain Networks. CNI@MICCAI 2017: 161-170 - [c48]Moo K. Chung, Ying Ji Chuang, Houri K. Vorperian:
Online Statistical Inference for Large-Scale Binary Images. MICCAI (2) 2017: 729-736 - [i5]Moo K. Chung, Yanli Wang, Gurong Wu:
Heat Kernel Smoothing in Irregular Image Domains. CoRR abs/1710.07849 (2017) - 2015
- [j23]Anqi Qiu, Annie Lee, Mingzhen Tan, Moo K. Chung:
Manifold learning on brain functional networks in aging. Medical Image Anal. 20(1): 52-60 (2015) - [j22]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): 15-28 (2015) - [j21]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): 63-76 (2015) - [j20]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): 89-101 (2015) - [j19]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: 103-117 (2015) - [j18]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): 1928-1939 (2015) - [c47]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: 4795-4803 - [c46]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: 30-33 - [c45]Yuan Wang, Hernando Ombao, Moo K. Chung:
Topological seizure origin detection in electroencephalographic signals. ISBI 2015: 351-354 - [c44]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: 1548-1551 - [c43]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: 941323 - [i4]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 abs/1509.04771 (2015) - 2014
- [j17]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): 1002-1014 (2014) - [j16]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: 107-123 (2014) - [j15]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: 351-363 (2014) - [c42]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: 2705-2712 - [c41]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: 65-72 - [c40]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: 297-304 - [c39]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: 789-796 - [c38]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: 90340Y - [i3]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 abs/1409.0177 (2014) - [i2]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 abs/1409.6498 (2014) - 2013
- [j14]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: 650-670 (2013) - [c37]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: 2139-2146 - [c36]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: 147-158 - [c35]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: 300-307 - [c34]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: 501-509 - [c33]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: 598-605 - [c32]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: 643-651 - [i1]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 abs/1309.6379 (2013) - 2012
- [j13]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): 2267-2277 (2012) - [c31]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: 42-45 - [c30]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: 280-287 - [c29]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: 25-32 - [c28]Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS 2012: 1250-1258 - 2011
- [j12]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): 1154-1165 (2011) - [j11]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): 1760-1770 (2011) - [c27]Seongho Seo, Moo K. Chung:
Laplace-Beltrami eigenfunction expansion of cortical manifolds. ISBI 2011: 372-375 - [c26]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: 808-811 - [c25]Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyun Kim, Dong Soo Lee:
Discriminative persistent homology of brain networks. ISBI 2011: 841-844 - [c24]Moo K. Chung, Hyekyoung Lee, Peter T. Kim, Jong Chul Ye:
Sparse topological data recovery in medical images. ISBI 2011: 1125-1129 - [c23]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: 217-225 - [c22]Moo K. Chung, Seongho Seo, Nagesh Adluru, Houri K. Vorperian:
Hot Spots Conjecture and Its Application to Modeling Tubular Structures. MLMI 2011: 225-232 - [c21]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: 302-309 - [c20]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: 79620Z - [c19]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: 79624G - [c18]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: 36-47 - [c17]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: 236-247 - 2010
- [j10]Moo K. Chung, Keith J. Worsley, Brendon M. Nacewicz, Kim M. Dalton, Richard J. Davidson:
General multivariate linear modeling of surface shapes using SurfStat. NeuroImage 53(2): 491-505 (2010) - [c16]Seongho Seo, Moo K. Chung, Houri K. Vorperian:
Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions. MICCAI (3) 2010: 505-512
2000 – 2009
- 2009
- [j9]Jee Eun Lee, Moo K. Chung, Mariana Lazar, Molly B. DuBray, Jinsuh Kim, Erin D. Bigler, Janet E. Lainhart, Andrew L. Alexander:
A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis. NeuroImage 44(3): 870-883 (2009) - [j8]Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson:
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage 48(1): 138-149 (2009) - [c15]Moo K. Chung, Peter Bubenik, Peter T. Kim:
Persistence Diagrams of Cortical Surface Data. IPMI 2009: 386-397 - [c14]Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander:
3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data. ISBI 2009: 113-116 - [c13]Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M. Dalton, Richard J. Davidson:
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams. MICCAI (1) 2009: 158-166 - [c12]Ali R. Khan, Moo K. Chung, Mirza Faisal Beg:
Robust Atlas-Based Brain Segmentation Using Multi-structure Confidence-Weighted Registration. MICCAI (1) 2009: 549-557 - 2008
- [j7]Moo K. Chung, Kim M. Dalton, Richard J. Davidson:
Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation. IEEE Trans. Medical Imaging 27(8): 1143-1151 (2008) - [c11]Moo K. Chung, Daniel J. Kelley, Kim M. Dalton, Richard J. Davidson:
Quantifying cortical surface asymmetry via logistic discriminant analysis. CVPR Workshops 2008: 1-8 - [c10]Moo K. Chung, Brendon M. Nacewicz, Shubing Wang, Kim M. Dalton, Seth D. Pollak, Richard J. Davidson:
Amygdala Surface Modeling with Weighted Spherical Harmonics. MIAR 2008: 177-184 - [c9]Vikas Singh, Lopamudra Mukherjee, Moo K. Chung:
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification. MICCAI (1) 2008: 999-1007 - 2007
- [j6]Terrence R. Oakes, Andrew S. Fox, Tom Johnstone, Moo K. Chung, Ned H. Kalin, Richard J. Davidson:
Integrating VBM into the General Linear Model with voxelwise anatomical covariates. NeuroImage 34(2): 500-508 (2007) - [j5]Moo K. Chung, Kim M. Dalton, Li Shen, Alan C. Evans, Richard J. Davidson:
Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter. IEEE Trans. Medical Imaging 26(4): 566-581 (2007) - [c8]Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang:
Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. BIBE 2007: 211-217 - 2006
- [c7]Li Shen, Moo K. Chung:
Large-Scale Modeling of Parametric Surfaces Using Spherical Harmonics. 3DPVT 2006: 294-301 - [c6]Jee Eun Lee, Moo K. Chung, Andrew L. Alexander:
Evaluation of anisotropic filters for diffusion tensor imaging. ISBI 2006: 77-78 - [c5]Moo K. Chung:
Heat kernel smoothing on unit sphere. ISBI 2006: 992-995 - [c4]Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson:
Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation. MIAR 2006: 36-43 - 2005
- [j4]Moo K. Chung, Steven M. Robbins, Kim M. Dalton, Richard J. Davidson, Andrew L. Alexander, Alan C. Evans:
Cortical thickness analysis in autism with heat kernel smoothing. NeuroImage 25(4): 1256-1265 (2005) - [c3]Moo K. Chung, Steve Robbins, Alan C. Evans:
Unified Statistical Approach to Cortical Thickness Analysis. IPMI 2005: 627-638 - 2004
- [j3]Moo K. Chung, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson:
Less white matter concentration in autism: 2D voxel-based morphometry. NeuroImage 23(1): 242-251 (2004) - [c2]Moo K. Chung, Jonathan Taylor:
Diffusion Smoothing on Brain Surface via Finite Element Method. ISBI 2004: 432-435 - 2003
- [j2]Moo K. Chung, Keith J. Worsley, Steve Robbins, Tomás Paus, Jonathan Taylor, Jay N. Giedd, Judith L. Rapoport, Alan C. Evans:
Deformation-based surface morphometry applied to gray matter deformation. NeuroImage 18(2): 198-213 (2003) - [c1]Moo K. Chung, Keith J. Worsley, Steve Robbins, Alan C. Evans:
Tensor-based Brain Surface Modeling and Analysi. CVPR (1) 2003: 467-476 - 2001
- [j1]Moo K. Chung, Keith J. Worsley, Tomás Paus, C. Cherif, D. Louis Collins, Jay N. Giedd, Judith L. Rapoport, Alan C. Evans:
A Unified Statistical Approach to Deformation-Based Morphometry. NeuroImage 14(3): 595-606 (2001)
Coauthor Index
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