Publications & Books




2024

Chung, M.K., Das, S., Ombao, H., 2024 Topological data analysis of functional human brain networks,  Foundations of Data Science, in press, arXiv:2210.09092

Chung, M.K., Huang, S.-G., Carroll, I.C., Calhoun, V.D., Goldsmith, H.H. 2024 Persistent homological state-space estimation of functional human brain network at rest, PLOS Computational Biology, in press, arXiv:2201:00087

Chung, M.K., Azizi, T.,
Hanson, J., Alexander, A., Davidson, R.J. and Pollak, S. 2024 Altered topological structure of the brain white matter in maltreated children through topological data analysis. Network Neuroscience, in press, arXiv:2304.05908.

2023

M.K. Chung, C.G. Ramos, F.B. De Paiva, J. Mathis, V. Prabhakaran, V.A. Nair, M.E. Meyerand, B.P. Hermann, J.R. Binder, and A.F. Struck. Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance, NeuroImage, 284-120436, 2023

El-Yaagoubi, A.B., Chung, M.K., Ombao, H. 2022 Topological data analysis for multivariate time series data, Entropy 25:11, 2023 arXiv:2204.13799 

El-Yaagoubi, A.B., Chung, M.K., Ombao, H. 2023 Statistical inference for dependence networks in topological data analysis, Frontiers in Artificial Intelligence 6:1293504

Huang, J., Chung, M.K., Qiu, A. 2023 Heterogeneous graph convolutional neural network via Hodge Laplacian for brain functional dataInformation Processing in Medical Imaging (IPMI) 13939:278-290 (selected for oral, selected as the 2nd best paper).

Chen, Z., Das, S., Chung, M.K. 2023 Sulcal pattern matching with the Wasserstein distance, International Symposium in Biomedical Imaging (ISBI) (oral, invited paper)

Anand, D.V., Chung, M.K. 2023 Hodge-Laplacian of brain networks, IEEE Transactions on Medical Imaging 42:1563-1473

Songdechakraiwut, T. Chung, M.K. 2023 Topological learning for brain networks, Annals of Applied Statistics 17:403-433, MATLAB

Chung, M.K., Hanson, J.L., Davidson, R.J., Pollak, S.D. 2023 Discussion of paper LESA: longitudinal elastic shape analysis of brain subcortical structures. Journal of American Statistical Association (JASA), 118:20-21

Das, S., Anand, D.V., Chung, M.K. 2023 Topological data analysis for human brain networks through order statistics Plos One 18:e0276419


2022

Dakurah, S, Anand, D.V., Chen, Z., Chung, M.K. Modelling cycles in brain networks with the Hodge Laplacian (paper award), Medical Image Computing and Computer Assisted Intervention (MICCAI) 13431:326-225

Bourakna, A.E.Y., Chung, M.K., Ombao, H. 2022 Modeling and simulating dependence in networks using topological data analysis arXiv:2209.10416

Chung, M.K., Chen, Z. 2022 Embedding of functional human brain networks on a sphere, arXiv:2204.03653

Wang, Y., Chung, M.K., Fridriksson, J. 2022 Spectral permutation test on persistent diagrams, International conference on acoustics,speech and signal processing (ICASSP) 1461-1465

Chung, M.K., Huang, S.-G., Carroll, I.C., Calhoun, V.D., Goldsmith, H.H. 2022 Wasserstein graph clustering in determining the genetic contribution of state changes in rs-fMRI, Annual Meeting of the Organization for Human Brain Mapping (OHBM)

Xu, F., Garai, S., Chung, M.K., Caciagli, L., Saykin, A.J., bassett, D.S., Shen, L. 2022 Identifying topological changes of structural connectome in MCI and AD through persistent homology, Annual Meeting of the Organization for Human Brain Mapping (OHBM)

2021

Chung, M.K., Ombao, H. 2021, Discussion of 'event history and topological data analysis'. Biometrika 108:775-778

Chung, M.K., Ombao, H. 2021 Lattice paths for persistent diagrams. Lecture Notes in Computer Science 12929:77-86   arXiv:2105:00351  MATLAB (Plenary talk in MICCAI workshop)

Songdechakraiwut, T., Shen, L., Chung, M.K. 2021 Topological learning and its application to multimodal brain network integration,
Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 12902:166-176 MATLAB

Huang, S.G., Chung, M.K., Qiu, A, ADN Initiative 2021
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
, Neural Computing and Applications, 33:13693-13704  arXiv:2010.1326

Huang, S.G., Chung, M.K., Qiu, A, ADN Initiative 2021
Fast mesh data augmentation via Chebyshev polynomial of spectral filtering, Neural Networks 143:198-208 arXiv:2010.02811

Chung, M.K., Smith, A., Shiu, G. 2021 Reviews: topological distances and losses for brain networks, arXiv:2102.08623

2020

Chung, M.K., Huang, S.-G., Songdechakraiwut, T., Carroll, I.C., Goldsmith, H.H. 2020 Statistical analysis of dynamic functional brain networks in twins, arXiv 1911.02731  Matlab

Songdechakraiwut, T. Chung, M.K. 2020 Dynamic topological data analysis for functional brain signals
, IEEE International Symposium on Biomedical Imaging (ISBI) Workshop 1-4  Shorter abstract

Kulkarni, A.P., Chung, M.K., Bendlin, B.B., Prabhakaran, V. 2020 Investigating heritability across resting state brain networks via heat kernel smoothing on persistence diagramsIEEE International Symposium on Biomedical Imaging (ISBI) workshop 1-4.

Huang, S.-G., Lyu, I., Qiu, A., Chung, M.K. 2020. Fast polynomial approximation of heat kernel convolution on manifolds and its application to brain sulcal and gyral graph pattern analysis, IEEE Transactions on Medical Imaging 39:2201-2212  arXiv 1911.02721

Grisenko, A., Lindquist, M., Chung, M.K. 2020 Twin classification in resting-state brain connectivity, IEEE International Symposium on Biomedical Imaging (ISBI), 1394-1394, Extended version: arXiv:1807.00244

Chung, M.K., Adluru, N., Vorperian, H.K. 2020 Kernel regression on manifolds and its application to modeling disconnected anatomic structures, Statistical Methods in Biomedical Research, 235-260, Springer Nature arXiv:1601.03474  (invited paper)

Huang, S.-G., Samdin, S.B., Ting, C.M., Ombao, H., Chung, M.K. 2020 Statistical model for dynamically-changing correlation matrices with application to brain connectivity. Journal of Neuroscience Methods 331:108480 arXiv:1812.10050  (invited review)

2019

Chung, M.K., Xie, L., Huang, S.-G., Wang, Y., Yan, J., Shen, L. 2019. Rapid Acceleration of the permutation test via transpositions, International Workshop on Connectomics in NeuroImaging, Lecture Notes in Computer Science 11848:42-53. A different version arXiv:1812.06696
 (selected for oral)

Huang, S.-G., Lyu, I., Qiu, A., Chung, M.K. 2019. Fast polynomial approximation to heat diffusion in manifolds, Medical Image Computing and Computer Assisted Intervention (MICCAI) 11767:48-56

Lee, H., Chung, M.K., Kang, H., Choi, H., Huh, Y., Ha, S., Kim, E., Lee, D.S.  2019 Coidentifciation of group-level hole structures in brain networks via Hodge Laplacian, Medical Image Computing and Computer Assisted Intervention (MICCAI) 11767:674-682

Chung, M.K. 2019 Brain Network Analysis, Cambridge University Press

Huang, S.-G., Chung, M.K., Carroll, I.C., Goldsmith, H.H. 2019 Dynamic functional connectivity using heat kernel. IEEE Data Science Workshop (DSW), 222-226  Extended version
arXiv 1911.02731  MATLAB

Chung, M.K., Wang, Y. 2019. Heat kernel smoothing in irregular domains, Lecture Note Series, IMS, NUS Mathematics of Shapes and Applications 181-210  MATLAB (invited paper)
 
Wang, Y., Ombao, H., Chung, M. 2019. Statistical persistent homology of brain signals, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 1125-1129 

Chung, M.K., Lee, H. Ombao. H., Solo, V. 2019 Exact topological inference of the resting-state brain networks in twins, Network Neuroscience 3:674-694  MATLAB (invited paper)

 Chung, M.K., Huang, S.-G., Gritsenko, A., Shen, L., Lee, H. Statistical inference on the number of cycles in brain networks. IEEE International Symposium on Biomedical Imaging (ISBI) 113-116
 MATLAB  A different version arXiv 1809.03878

Huang, S.-G., Gritsenko, A., Lindquist, M.A., Chung, M.K. 2019. Circular Pearson correlation using cosine series expansion. IEEE International Symposium on Biomedical Imaging (ISBI) 1774-1777

Lee, H., Chung, M.K., Choi, H., Kang, H., Ha, S., Kim, Y.K., Lee, D.S. 2019. Harmonic holes as the submodules of brain network and network dissimilarity. Workshop on Computational Topology in Image Context, Lecture Notes in Computer Science 11382:110-122, arXiv:1811:04355

Xing, M., Lee, H., Morrissey, Z., Chung, M.K., Phan, K.L., Klumpp, H., Leow, A., Ajilore, O. 2019 Altered dynamic electroencephalography state-space features of emotion regulation in social anxiety. NeuroImage, 196:338-349

2018

Chung, M.K., Luo, Z., Adluru, A., Alexander, A.L., Richard, D.J., Goldsmith, H.H. 2018 Heritability of hierarchical structural brain network. IEEE Engineering in Medicine and Biology Society (EMBC) doi.org/10.1101/209635, 554-557

Chung, M.K., Wang, Y., Wu, G. 2018 Discrete heat kernel smoothing in irregular image domains, IEEE Engineering in Medicine and Biology Society (EMBC) 5101-5104 (selected for oral)
arXiv:1710.07849
 

Lee, M.-H., Kim, D.-Y., Chung, M.K., Alexander, A.L., Davidson, R.J. 2018 Topological properties of the brain network constructed using the epsilon-neighbor method in patients with autism, IEEE Transactions on Biomedical Engineering, 65:2323-2333 (selected for cover art)

Wang, Y., Ombao, H., Chung, M.K. 2018 Topological data analysis of single-trial electroencephalographic signals. Annals of Applied Statistics, 12:1506-1534 (received ENAR paper award)

Chung, M.K., Luo, Z., Leow, A.D., Alexander, A.L., Richard, D.J., Goldsmith, H.H. 2018 Exact Combinatorial Inference for Brain Images, Medical Image Computing and Computer Assisted Intervention (MICCAI), 11070:629-637

Morrissey, Z.D., Zhan, L., Lee, H., Keiriz, J.J.G., Forbes, A.G., Ajilore, O., Leow, A.D., Chung, M.K. 2018 Phase-angle spatial embedding (PhaSE) as a maximum mean discrepancy method for studying the human functional connectome, Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 11072:367-374

Solo, V., Poline, J.-B., Lindquist, A.L., Simpson, S.L., Bowman, F.D., Chung, M.K., Cassidy, B. 2018 Connectivity in fMRI: blind spots and reakthroughts. IEEE Transactions on Medical Imaging 37:1537-1550 (invited paper)

Lee, H., Chung, M.K., Kang, H., Choi, H., Kim, Y.K., Lee, D.S. 2018 Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge LaplacianIEEE International Symposium on Biomedical Imaging (ISBI) 20-23 (selected for oral)

Chung, M.K. 2018 Statistical challenges of big brain network data, Statistics & Probability Letters,  136:78-82 (invited paper) arXiv:1709:09645

Chuang, Y.J., Doherty, B.M., Adluru, N., Chung, M.K., Vorperian, H.K. 2018 A novel registration-based semiautomatic mandible segmentation pipeline using computed tomography images to study mandibular development. Journal of Computer Assisted Tomography. 42:306-316

2017

Chung, M.K. 2017 Sparse Network Modeling, arXiv:2008.00313

Chung, M.K. 2017 Introduction to random fields, arXiv:2007.09660

Zhang, L., Jenkins, L.M., WOlfson, O.E., GadElkarim, J.J., Nocito, K., Thompson, P.M., Ajilore, O.A., Chung, M.K., Leow, A.D. 2017 The significance of negative correlations in brain connectivity. Journal of Comparative Neurology. 525:3251-3265  arXiv:1609.01384


Chung, M.K., Lee, H., Solo, V., Davidson, R.J., Pollak, S.D. 2017  Topological distances between brain networks, International Workshop on Connectomics in NeuroImaging, Lecture Notes in Computer Science 10511:161-170  (invited paper, plenary talk) Poster Extended version arXiv:1701.04171

Wang, Y, Chung, M.K., Dentico, D., Lutz, A., Davidson, R.J. 2017 Topological network analysis of electroencephalographic power maps, International Workshop on Connectomics in NeuroImaging, Lecture Notes in Computer Science 10511:134-142

Chung, M.K. Chuang, Y.J. Vorperian, H.K. 2017. Online statistical inference for large-scale binary images. Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science 10434:729-736. Poster

Chung, M.K., Hanson, J.L., Adluru, Aleander, A.L., Davidson, R.J., Pollak, S.D. 2017 Integrative structural brain network analysis in diffusion tensor imaging, Brain Connectivity 7:331-346, bioRxiv 129015

  1. Chung, M.K., Vilalta, V.G., Lee, H., Rathouz, P.J., Lahey, B.B., Zald, D.H. 2017 Exact topological inference for paired brain networks via persistent homology. Information Processing in Medical Imaging (IPMI) 10265:299-310 (selected for oral, 20% rate) MATLAB. Extended version: arXiv:1509.04771 PMCID: PMC5654491

  1. Chung, Hanson, J.L., Adluru, Aleander, A.L., Davidson, R.J., Pollak, S.D.2017. Exponential decay law for the structural brain network of maltreated children. Proceeding of International Society of Magnetic Resonance in Medicine (ISMRM) 25:3493

  1. Chung, M.K., Vilalta, V.G., Rathouz, P.J., Lahey, B.B., Zald, D.H. 2017 Hyper network analysis on paired images. Proceeding of International Society of Magnetic Resonance in Medicine (ISMRM) 25:0958 Lecture (selected for oral)
  2.  
Kelly, M.P., Vorperian, H.K., Wang, Y., Tillman, K.K., Werner, H.M., Chung, M.K., Gentry, L.R. 2017 Characterizing mandibular growth using three-dimensional imaging techniques and anatomic landmarksArchives of Oral Biology 77:27-38

Lee, H., Kang, H., Chung, M.K., Lim, S., Kim, B.-N., Lee, D.S. 2017 Integrated multimodal network approach to PET and MRI based on multidimensional persistent homology Human Brain Mapping 38:1387-1402. arXiv:1410.4620

Yoo, K., Lee, P., Chung, M.K., Sohn, W.S., Chung, S.J., Na, D.L., Ju, D., Jeong, Y. 2017 Degree-based statistic and center persistency for brain connectivity analysis. Human Brain Mapping 38:165-181

2016

Chung, M.K., Hanson, J.L., Pollak, S.D. 2016. Statistical analysis on brain surfaces, Handbook of Neuroimaging Data Analysis. 233-262 (invited paper)

Wang, Y., Chung, M.K., Vorperian, H.K. 2016. Composite growth model applied to human oral and pharyngeal structures and identifying the contribution of growth types. Statistical Methods in Medical Research. 25:1975-1990

  1. Lee, H., Chung, M.K., Kang, H., Kim, E., Huh, Y., Hahm, J., Kim, Y.K., Lee, D.S. 2016 Shape variability in the dynamics of resting-state functional network and relationship with age. 2016. Organization for Human Brain Mapping (OHBM) annual meeting. poster. (selected for oral)

  2. Chung, M.K., Vilalta, V.G., Rathouz, P.J., Lahey, B.B., Zald, D.H. 2016 Heritability of large-scale functional brain networks. Organization for Human Brain Mapping (OHBM). Lecture, Poster
    (invited talk)


  1. 2015

    Chung, M.K., Hanson, J.L., Ye, J., Davidson, R.J. Pollak, S.D. 2015 Persistent homology in sparse regression and its application to brain morphometry. IEEE Transactions on Medical Imaging, 34:1928-1939   arXiv:1409.0177  PMCID: PMC4629505

  1. Kim, W.H., Bendlin, B.B., Chung, M.K., Johnson, S.C., Singh, V. 2015. Statistical inference models for image datasets with systematic variations, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 4795-4803

  2. Kim, W.H., Adluru, N., Chung, M.K., Okonkwo, C.O., Johnson, S.C., Bendlin, B.B., Singh, V. 2015. Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer’s disease. NeuroImage 118:103-117

  3. Wang, Y., Chung, M., Bachhuber, D.R.W., Schaefer, S.M., van Reekum, C.M., Davidson, R.J. 2015 LARS network filtration in the study of EEG brain connectivity, IEEE 12th International Symposium on Biomedical Imaging (ISBI) 30-33

  4. Wang, Y., Ombao, H., Chung, M.K. 2015 Topological epilepsy seizure detection in electroencephalographic signals, IEEE 12th International Symposium on Biomedical Imaging (ISBI) 351-354 (selected for oral)

  1. Kim, W.H., Singh, V., Chung, M.K., Adluru, N., Bendlin, Johnson, S.C. 2015 Multi-resolution statistical analysis on graph structured data in neuroimaging EEE 12th International Symposium on Biomedical Imaging (ISBI) 1548-1551 (selected for oral)

  2. Lee, M.-H., Kim, D.Y., Lee, S.H., Kim, J.U., Chung, M.K. 2015. Comparisons of topological properties in autism for the brain network construction methods, Proceedings of SPIE Medical Imaging vol. 9413, 941323. (poster award)


Chung, M.K., Qiu, A., Seo S. Vorperian, H.K. 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 Analysis. 22:63-76  arXiv:1409.6498

  1. Hosseinbor, A.P., Chung, M.K.,  Schaefer, S.M., van Reekum, Perchke-Schmitz L., Sutter, M., Alexander, A.L., Davidson, R.J. 2015 4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: a holistic treatment of multiple disconnected anatomical structures, Medical Image Analysis 22:89-101

  2. Hosseinbor, A.P., Chung, M.K., Wu, Y.-C., Bendlin, B.B., Alexander, A.L. 2015 A 4D hyperspherical interpretation of q-space, Medical Image Analysis 21:15-28

  3. Qiu, A., Lee, A., Tan.M., Chung, M.K. 2015. Manifold learning on brain functional networks in aging, Medical Image Analysis 20:52-60 

2014

  1. Ryu, W.S., Woo, S.H., Schellingerhout, D., Chung, M.K. et al. 2014 Grading and interpretation of white matter hyperintensities using statistical maps, Stroke 45:3567-3575

  2. Khalid, A., Kim, B.S., Chung, M.K., Ye, J.C., Jeon, D. 2014. Tracing the evolution of multi-scale functional notworks in a mouse model of depression using persistent brain network homology, NeuroImage 101:351-363

  3. Chung, M.K., Schaefer, S.M., van Reekum, C. M., Schmitz, L.P., Sutterer, M., Davidson, R.J. 2014. A unified kernel regression for diffusion wavelets on manifolds detects aging-related changes in the amygdala and hippocampus, 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science(LNCS) 8674:791-298

  4. Hosseinbor, A.P., Kim, W.H., Adluru, N., Acharya, A., Vorperian, H.K., Chung, M.K. 2014.  The 4D hyperspherical diffusion wavelet: a new method for the detection of localized anatomical variation, 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science(LNCS) 8675:65-72

  5. Lee, H., Chung, M.K., Kang, H., Lee, D.S. 2014. Hole detection in metabolic connectivity of Alzheimer's disease using k-Laplacian, 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science(LNCS) 8675:297-304
  6.  
  7. Kim, H.J., Adluru, N., Collins, M.D., Chung, M.K., Bendlin, B.B., Johnson, S.C., Davidson, R.J., Singh, V. 2014. Multivariate general linear models (MGLM) on Riemannian manifolds with applications to statistical analysis of diffusion weighted Images, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2705-2712

  8. Du, J., Hosseinbor, A.P., Chung, M.K., Bendlin, B.B., Suryawanshi, G., Alexander, A.L., Qiu, A. 2014. Diffeomorphic metric mapping and probabilistic atlas generation of hybrid diffusion imaging based on BFOR signal basis, Medical Image Analysis 18:1002-1014

  9. Kim, W.H., Singh, V., Chung, M.K., Hinrichs, C., Pachauri, D., Okonkwo, O.C., Johnson, S.C. 2014. Multi-resolution shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage 93:107-123.

  10. Wang, Y., Ombao, H., Chung, M.K. 2014. Persistence landscape of functional signal and its application to epileptic electroencaphalogram data, ENAR Distinguished Student Paper Award (20 awards out of 169 submissions, 11.8% rate)

  11. Chung, M.K., Kim, S.-G., Schaefer, S.M., van Reekum, C. M., Schmitz, L.P., Sutterer, M., Davidson, R.J. 2014. Improved statistical power with a sparse shape model in detecting an aging effect in the hippocampus and amygdala, Proceedings of SPIE Medical Imaging 9034, 90340Y


  1. 2013

  2. Hanson, J.L., Adluru, N., Chung, M.K., Alexander, A.L., Davidson, R.J., Pollak, S.D. 2013. Early neglect is associated with alterations in white matter integrity and cognitive functioning, Child Development 84:1566-1578

  3. Kim, W.H., Adluru, N., Chung, M.K., Kumar, A., Altshuler, L., Moody, T., GadElkarim, J., Singh, V., Leow, A. 2013. Multi-resolution brain network filtering and analysis via wavelets on non-Euclidean space, 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS) 8151:643-651 (acceptance 32.8%).

  4. Hosseinbor, A.P., Chung, M.K., Schaefer, S.M., van Reekum, C., Peschke-Schmitz, L., Sutterer, M., Alexander, A.L., Davidson, R.J. 2013. 4D Hyperspherical harmonic (HyperSPHARM) representation of  multiple disconnected brain subcortical structures, 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS) 8149:598-605 (acceptance 32.8%).

  5. Hosseinbor, A.P., Chung, M.K., Wu, Y.-C., Bendlin, B.B., Alexander, A.L. 2013. A 4D hyperspherical interpretation of q-space, 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS) 8151:501-509 (acceptance 32.8%).

  6. Chung, M.K., Hanson, J.L., Lee, H., Adluru, N., Alexander, A.L., Davidson, R.J., Pallak, S.D. 2013. Persistent homological approach to detecting white matter abnormality in maltreated children: MRI and DTI multimodal study. 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS) 8149:300-307 (acceptance 32.8%).

  7. Kim, W.H., Chung, M.K., Singh, V. 2013. Multi-resolution shape analysis via non-Euclidean wavelets: applications to mesh segmentation and surface alignment problem. Computer Vision and Pattern Recognition (CVPR) 2139-2146. PMCID: PMC3879264


Chung, M.K. 2013. Statistical and Computational Methods in Brain Image Analysis.  Chapman & Hall/CRC. DATA/MATLAB

  1. Du, J., Hosseinbor, A.P., Chung, M.K., Bendlin, B.B., Syryawanshi, G., Alexander. A.L., Qiu, A. 2013. Diffeomorphic metric mapping of hybrid diffusion imaging based on BFOR signal basis. Information Processing in Medical Imaging (IPMI). Lecture Notes in Computer Science (LNCS). 7917:147-158.

  2. Whyms, B. J., Vorperian, H.K., Gentry, L. R., Schimek, E.M., and Bersu, E. T. Chung, M.K. 2013. The effect of computed tomographic scanner parameters and 3-dimensional volume rendering techniques on the accuracy of linear, angular, and volumetric measurements of the mandible. Oral Surgery, Oral Medicine, Oral Pathology, and Oral Radiology Journal. 115:682-691. PMCID: PMC3633147

  3. Hosseinbor, A.P., Chung, M.K., Wu, Y.-C., Alexander, A.L. 2013. Bessel Fourier orientation reconstruction (BFOR): an analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices, NeuroImage 64:650-670.


2012

Chung, M.K. 2012 Gaussian kernel smoothing arXiv:2007.09539

Chung, M.K. 2012. Computational Neuroanatomy: The Methods, World Scientific Publishing, Singapore

  1. Chung, M.K., Lee, H., Arnold, A. 2012. Persistent homological structures in compressed sensing and sparse likelihood, NIPS Workshop on Algebraic Topology and Machine Learning.

  2. Lee, H., Kang, H., Chung, M.K., Kim, B.-N., Lee, D.S. 2012 Weighted functional brain network modeling via network filtration, NIPS Workshop on Algebraic Topology and Machine Learning.

  3. Kim, W.H., Pachauri, D., Hatt, C., Chung, M.K., Johnson, S.C., Singh, V. 2012. Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination, Advances in Neural Information Processing Systems (NIPS) (acceptance 25.2%)

  4. Hosseinbor, A.P., Chung, M.K., Wu, Y.-C., Fleming, J.O., Field, A.S., Alexander, A.L. 2012. Extracting quantitative measures from EAP: a small clinical study using BFOR. 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). 7511:280-287 (acceptance 32%)

  5. Hanson, J.L., Chung, M.K., Avants, B.B., Rudolph, K.D., Shirtcliff, E.A., Gee, J.C., Davidson, R.J., Pollak, S.D. 2012. Structural variations in prefrontal cortex mediate the relationship between early childhood stress and spatial working memory, The Journal of Neuroscience 32:7917-7925.


Lee, H., Kang, H.K., Chung, M.K., Kim, B.-N., Lee, D.S. 2012. Persistent brain network homology from the perspective of dendrogram, IEEE Transactions on Medical Imaging. 31:2267-2277. Different version
Technical Report 228.

  1. Lee, H., Chung, M.K., Kang, H., Kim, B.-N., Lee, D.S. 2012. Edge selection method preserving the topological features of brain network. 18th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 7457.  Poster (selected for oral)

  2. Chung, M.K., Adluru, N., Lainhart, J.E., Lange, N., Alexander, A.L. 2012. Electrical Circuit model for white matter fiber tracts in diffusion tensor imaging. 18th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 7250. Poster

  3. Kim, S.-G., Lee, H., Chung, M.K., Hanson, J.L., Avants, B.B., Gee, J.C., Davidson, R.J., Pollak, S.D. 2012. Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging. IEEE International Symposium on Biomedical Imaging (ISBI) 42-45.

  4. Kim, S.-G., Chung, M.K., Schaefer, S.M., van Reekum, C., Davidson, R.J. 2012. Sparse shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). 25-32. (selected for oral) Matlab


2011


  1. Kim, S.-G., Chung, M.K., Seo, S., Schaefer, S.M., van Reekum, C., Davidson, R.J. 2011. Heat kernel smoothing via Laplace-Beltrami eigenfunctions and its application to subcortical structure modeling. Pacific-Rim Symposium on Image and Video Technology (PSIVT). Lecture Notes in Computer Science (LNCS). 7087:36-47. (selected for oral) Matlab

  2. Adluru, N., Chung, M.K., Lange, N.T., Lainhart, J.E., Alexander, A.L. 2011. Applications of epsilon radial networks in neuroimage analyses. Pacific-Rim Symposium on Image and Video Technology (PSIVT). Lecture Notes in Computer Science (LNCS). 7087:236-247 (selected for oral).

  3. Gallagher, C.L., Oakes, T.R., Johnson, S.C., Chung, M.K., Holden, J.E., Bendlin, B.B., McLaren, D.G., Xu, G., Nickles, R.J., Pyzalski, R., DeJesus, O., Brown, W.D. 2011. Rate of 6-[18F] fluorodopa uptake decline in striatal subregions in Parkinson's disease. Movement Disorders. 26:614-620.

  4. Gallagher, C.L., Johnson, S.C., Bendlin, B.B., Chung, M.K., Holden, J.E., Oakes, T.R., Brooks, B.R., Konopacki, R.A., Dogan, S., Abbs, J.H., Xu, G., Nickles, R.J., Pyzalski, R.W., DeJesus, O.T., Brown, W.D. 2011. A longitudinal study of motor performance and striatal [18F] fluorodopa uptake in Parkinson’s disease, Brain Imaging and Behavior, 5:203-211.


Chung, M.K., Dalton, K.M, Kelley, D.J., Davidson, D.J. 2011. Mapping brain-behavior correlations in autism using heat kernel smoothing, Quantitative Bio-Science 30:75-83. (invited paper)

  1. Pachauri, D., Hinrichs, C., Chung, M.K., Johnson, S.C., Singh, V. and ADNI. 2011. Topology-based kernels with application to inference problems in Alzheimer's disease. IEEE Transactions on Medical Imaging. 30:1760-1770.


Lee, H., Chung, M.K., Kang, H., Kim, B.-N., Lee, D.S. 2011. Computing the shape of brain network using graph filtration and Gromov-Haudorff metric. 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). 6892:302-309.  (selected for oral, oral acceptance 4.15%)

  1. Hosseinbor, A.P., Chung, M.K., Wu, Y.-C., Alexander, A.L. 2011 Bessel Fourier Orientation Reconstruction: An Analytical EAP Reconstruction using Multiple Shell Acquisitions in Diffusion MRI. 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). 6892:217-225.  (acceptance rate 30%).

Hosseinbor, A.P., Chung, M.K., Wu, Y.-C., Alexander, A.L. 2011 Bessel Fourier orientation reconstruction: Using heat equation & multiple shell acquisitions to reconstruct diffusion propagator. Proceeding of International Society of Magnetic Resonance in Medicine (ISMRM) 19:1927

  1. Chung, M.K., Seo, S., Adluru, N., Vorperian, H.K. 2011 Hot spots conjecture and its application to modeling tubular structures. 2nd International Workshop on Machine Learning in Medical Imaging (MLMI). Lecture Notes in Computer Science (LNCS). 7009:225-232 (selected for oral). MATLAB

  2. Vorperian, H.K., Wang, S., Schimek, E.M., Durtschi, R.B., Kent, R.D., Gentry, L.R., Chung, M.K. 2011. Developmental sexual dimorphism of the oral and pharyngeal portions of the vocal tract: An imaging study. The Journal of Speech, Language and Hearing Research. 54:995-1010. (received Editor's Award for the best paper in 2011) PMCID: PMC3135757

Lee, H., Lee, D.S., Kang, H., Kim, B.-N., Chung, M.K. 2011. Sparse brain network recovery under compressed sensing. IEEE Transactions on Medical Imaging. Special Issue on Compressed Sensing. 30:1154-1165.

  1. Lee, H., Chung, M.K., Kang, H., Kim, B.-N., Lee, D.S. 2011. Persistent network homology from the perspective of dendrograms. 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM) Poster (selected for oral, NIH travel award)

  1. Chung, M.K. Hanson, J.L., Davidson, R.J., Pollak, S.D. 2011. Effect of family income on hippocampus growth: longitudinal study. 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 2697. Poster

  2. Lee, H., Chung, M.K., Kang, H., Kim, B.-N., Lee, D.S. 2011. Brain network from sparse and topological point of view. 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Poster

  3. Seo, S., Chung, M.K., Dalton, K.M., Davidson, R.J. 2011. Multivariate cortical shape modeling based on sparse representation. 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Poster

  4. Hahm, J., Chung, M.K., Kang, H., Lee, S.-K., Lee D.S. 2011. Voxel-based network using epsilon neighbor with regional constratint on medial temporal lobe epilepsy17th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 

  5. Kim, S.-G., Chung, M.K., Hanson, J.L., Avants, B.B., Gee, J.C., Davidson, R.J., Pollak, S.D. 2011. White matter structural connectivity without diffusion tensor imaging. 17th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Poster

  1. Chung, M.K., Lee, H., Kim, P.T., Ye, J.C. 2011. Sparse topological data recovery in medical images. IEEE International Symposium on Biomedical Imaging (ISBI). 1125--1129. (invited paper)

  2. Seo, S., Chung, M.K. 2011. Laplace-Beltrami eigenfunction expansion of cortical manifolds. IEEE International Symposium on Biomedical Imaging (ISBI) 372-375. (NIH travel award)

  3. Kim, S.-G., Chung, M.K., Hanson, J.L., Avants, B.B., Gee, J.C., Davidson, R.J., Pollak, S.D. 2011. Structural connectivity via the tensor-based morphometry. IEEE International Symposium on Biomedical Imaging (ISBI). 808-811.

  4. Lee, H., Chung, M.K., Kang, H., Kim, B.-N., Lee D.S. 2011. Discriminative persistent homology of brain networks. IEEE International Symposium on Biomedical Imaging (ISBI). 841-844

  5. Lee, H., Lee, D.S., Kang, H., Kim, B.-N., Chung, M.K. 2011. Sparse brain network using penalized linear regression. Proceedings of SPIE. 7965, 796517 (selected for oral)

  6. Chung, M.K., Adluru, N., Dalton, K.M., Alexander, A.L., Davidson, R.J. 2011. Scalable brain network construction on white matter fibers. Proceedings of SPIE. 7962, 79624G.

  7. Seo, S. Chung, M.K. Voperian, H.K. 2011. Mandible shape modeling using the second eigenfunction of the Laplace-Beltrami operator. Proceedings of SPIE. 7962, 79620Z (selected for oral)


2010


Chung, M.K., Worsley, K.J., Nacewicz, B.M., Dalton, K.M., Davidson, R.J. 2010. General multivariate linear modeling of surface shapes using SurfStat. NeuroImage. 53:491-505. Matlab

  1. Adluru, N., Chung, M.K., Dalton, K.M., Alexander, A.L., Davidson, R.J. 2010. Characterizing brain connectivity using ε-radial nodes: application for classifying autism. MICCAI workshop on Computational Diffusion MRI

  2. Hanson, J. Chung, M.K., Avants, B., Shirtcliff, E., Gee, J., Davidson, R.J. 2010. A tensor-based morphometry investigation of brain structure and behavioral risk. Journal of Neuroscience. 30:7466-7472

Seo, S., Chung, M.K., Voperian, H.K. 2010. Heat kernel smoothing using Laplace-Beltrami eigenfunctions. 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). 6363:505-512. (acceptance rate < 32%). Matlab

  1. Chung, M.K. 2010. R-square, The Encyclopedia of Research Design, Sage Publications. (invited paper)

  2. Chung, M.K. Adluru, N. Dalton, K. M., Alexander, A.L., Davidson, R.J. 2010. Characterization of structural connectivity in autism using graph networks with DTI. 16th Annual Meeting of the Organization for Human Brain Mapping. 938. (selected as e-poster as one of the best abstracts)

  3. Kim, S.-G., Chung, M.K., Hanson, J.L., Avants, B.B., Gee, J.C., Davidson, R.J., Pollak, S.D. 2010. Structural connectivity via the tensor-based morphometry. The Biannual Meeting of Korean Socieity of Human Brain Mapping. (best poster award)

Chung, M.K., Adluru, N., Lee, J.E., Lazar, M., Lainhart, J.E., Alexander, A.L., 2010. Cosine series representation of 3D curves and its application to white matter fiber bundles in diffusion tensor imaging. Statistics and Its Interface. 3:69-80. PMCID: PMC3541410  Matlab

Chung, M.K., Hanson, J.L., Avants, B., Gee, J., Davidson, R.J., Pollak, S.D. 2010. Structural connectivity  mapping via the tensor-based morphometry. 16th Annual Meeting of the Organization for Human Brain Mapping. 481.

  1. Gallagher, C.L., Johnson, S.C., Chung, M.K., Brooks, B.R., Abbs, J., Dogan, S., Bendlin, B.B., Nickles, R.J., Brown, W.D., 2010. Bulbar Function Is Correlated with Neuroimaging Outcomes in Parkinson's Disease. Annual Meeting of American Academy of Radiology. P03.169.

  2. Hanson, J.L., Chung, M.K., Davidson, R.J., Pollak, S.D. 2010. Development of the Medial Temporal Lobe: Cross-Sectional & Longitudinal Insights into Behavioral Changes, Society for Neurosicence Meeting.

  3. Hahm, J., Park, H., Kang, H., Kang, E., Kim, Y.-K., Lee, S.-K., Lee, J. S., Chung, M., Lee, D. S. 2010. Changs in a language network of metabolic connectivity in medial temporal lobe epilepsy on FDG-PET. 16th Annual Meeting of the Organization for Human Brain Mapping. 322.

  4. Kim, H., Kang, E., Kang, H., Lee H.-K., Lee, J. S., Chung, M. Kim, H.-W., Cho, S. C., Kim, B.-N., Lee, D. S. 2010. Right orbitofrontal connectivity in default mode network of children with autism spectrum disorder. 16th Annual Meeting of the Organization for Human Brain Mapping. 415.

  5. Yim, Y.-K., Kang, H., Chung, M., Kang, E., Lee, H.-K., Kim, H.-W., Kim, B.-N., Lee, D. S. 2010. Anatomical dysconnectivity in children with attention defit/hyperactivity disorder. 16th Annual Meeting of the Organization for Human Brain Mapping. 485.

  6. Kim, E., Kang, H., Chung, M., Kang, E., Lee, H.-J., Song, J.-J., Oh, S.H., Lee, D. S. 2010. Differences in anatomical networks between post- and pre/peri-lingual deaf using gray matter density.  16th Annual Meeting of the Organization for Human Brain Mapping. 1529. 

  7. Kang, H., Kim H., Kang, E., Lee, H.-K., Chung, M., Lee, J. S., Kim, H.-W., Cho, S. C., Kim, B.-N., Lee, D. S. 2010. Differences in metabolic connectivity between atusim and attention deficit/hyperactivity disorder. 16th Annual Meeting of the Organization for Human Brain Mapping. 417. 

  8. Hanson, J.L., Chung, M.K., Avants, B., Shirtcliff, E.A., Schlaak, M., Davidson, R.J., Pollak, S.D. 2o10. Effects of Early Deprivation and Neglect on Adolescent Brain Structure and Neuropsychological Functioning. Biennial Meeting for Society for  Research on Adolescence

2009

  1. Worsley, K.J., Taylor, J.E., Carbonell, F., Chung, M.K., Duerden, E., Bernhardt, B., Lyttelton, O., Boucher, M., Evans, A.C. 2009. SurfStat: A Matlab toolbox for the statistical analysis of univeriate and multivariate surface and volumetric data using linear mixed effects models and random field theory. 15th Annual Meeting of the Organization for Human Brain Mapping. 972.

  2. Adluru, N., Hinrichs, C., Chung, M.K., Lee, J.E., Singh, V., Erin, D.B., Lange, L.T., Lainhart, J.E., Alexander, A.L. 2009. Classification in DTI using shapes of white matter tracts. IEEE Engineering in Medicine and Biology Society (EMBC).

  3. Chung, M.K., Adluru, N., Lee, J.E., Lazar, M., Lainhart, J.E., Alexander, A.L. 2009. Efficient parametric encoding scheme for white matter fiber bundles. IEEE Engineering in Medicine and Biology Society (EBMC) (invited paper)

Chung, M.K., Singh, V., Kim, P.T., Dalton, K.M., Davidson, R.J. 2009. Topological characterization of signal in brain images using the min-max diagram. 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). 5762:158-166. (acceptance rate < 32%).

  1. Khan, A.R., Chung, M.K., Beg, M.F. 2009. Robust atlas-based brain segmentation using multi-structure confidence-weighted registration. 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). (acceptance rate < 32%).

  2. Durtschi, R.B., Chung, D., Gentry, L.R., Chung, M.K., Vorperian, H.K. 2009. Developmental craniofacial anthropometry: assessment of race effects. Clinical Anatomy. 22:800-808.


Chung, M.K., Bubenik, P., Kim, P.T. 2009. Persistence diagrams of cortical surface data. Information Processing in Medical Imaging (IPMI). Lecture Notes in Computer Science (LNCS). 5636:386-397. (selected for oral, oral acceptance 17%)

  1. Chung, M.K., Wu,  Y.-C., Alexander, A.L. 2009. 3D functional representation of spasely sampled 2D cortical data.  IEEE International Symposium on Biomedical Imaging (ISBI). poster

  2. Hinrichs, C., Singh, V., Mukherjee, L., Xu, G., Chung, M.K., Johnson, S.C. 2009. Spatialy augmented LP boosting for AD classification with evaulation on the ADNI dataset. NeuroImage 48:138-149. PMCID: PMC2773131


Hanson, J.L., Shritcliff, E.A., Chung, M.K., Oakes, T.R., Pollak, S.D., Davidson, R.J. 2009. Chronic life stress is associated with volumetric reductions in the corpus callosum. Society for Research in Child Development. Poster

2008

  1. Vorperian, H.K., Wang, S., Chung, M.K., Schimek, E.M., Durtschi, R.B., Kent, R.D., Ziegert, A.J., Gentry, L.R. 2008. Anatomical development of the oral and pharyngeal portions of the vocal tract for males and females: an imaging study. The Journal of the Accoustical Soceity of America. 125:1666-1678. PMCID: PMC2669667
  2. Lee, J.E., Chung, M.K., Lazar, M., DuBray, M.B., Kim, J., Bigler, E.D., Lainhart, J.E., Alexander, A.L. 2008. A study of diffusion tensor imaging by tissue-specific, smoothing compensated voxel-based analysis. NeuroImage 44:870-883.

Chung, M.K. Hartley, R., Dalton, K.M., Davidson, R.J. 2008. Encoding cortical surface by spherical harmonics.  Satistica Sinica 18:1269-1291 (Special Issue on Statistical Challenges and Advances in Brain Science). Matlab (invited paper

  1. Chung, M.K. Lee, Jee Eun, Pack, G., Lazar, M., Lange, N.T., Lainhart, J.E., Alexander, A.L. 2008. A unified parametric model of white matter fiber tracts. MICCAI Workshop on Computational Diffusion MRI.

  2. Chung, M.K.,Qiu, A., Nacewicz, B.M., Dalton, K.M., Pollak, S., Davidson, R.J. 2008. Tiling manifolds with orthonormal basis. 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy (MFCA).

  3. Singh, V., Mukherjee, L., Chung, M.K. 2008. Cortical surface thickness as a classifier: Boosting for autism classification. 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Lecture Notes in Computer Science (LNCS). 5128:177-184.

Chung, M.K., Dalton, K.M., Davidson, R.J. 2008. . Tensor-based cortical surface morphometry via weighed spherical harmonic representation. IEEE Transactions on Medical Imaging 27:1143-1151 (invited submission based on MMBIA 2006 oral presentation). Matlab

  1. Chung, D, Chung, M.K, Durtschi, R.B., Vorperian, H.K. 2008. Determining length-based measurement consistency from magnetic resonance images. Academic Radiology. 15:1322-1330.

  2. Chung, M.K., Kelley, D.J., Dalton, K.M., Davidson, R.J. 2008. Quantifying cortical surface asymmetry via logistic discrimiant analysis. submitted. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (selected for oral)

  3. Chung, M.K. Nacewicz, B.M., Wang, S., Dalton, K.M., Pollak, S., Davidson, R.J. 2008. Amydala surface modeling with weighted spherical harmonics. 4th International Workshop on Medical Imaging and Augmented Reality (MIAR). Lecture Notes in Computer Science (LNCS) 5128:177-184 (selected for oral)

  4. Kelley, D.J., Oakes, T.R., Greischar, L.L., Chung, M.K., Ollinger, J., Alexander, A.L., Shelton,S.E., Kalin, N., Davidson, R.J. 2008. Automatic physiological waveform processing for fMRI noise correction and analysis. PLoS ONE 3:e1751. 

  1. Alexander, A., Lee, J.E., Ardekani, B., Chung, M.K., Bigler, E., Lainhart, J. 2008. Evaluation of DTI image analysis using nonlinear spatial normalization and tissue-specif, smoothing-compensated voxel based analysis: application in autism. 14th Annual Meeting for the Organization for Human Brain Mapping.

  2. Chung, M.K., Kelley, D.J., Dalton, K.M., Davidson, R.J. 2008. Detection of local cortical asymmetry via discriminant power analysis. 14th Annual Meeting of the Organization for Human Brain Mapping. Poster.
  3. Chung, M.K. 2008. A new validation technique for cortical data smoothing. 14th Annual Meeting of the Organization for Human Brain Mapping. Poster.

2007

  1. Chung, M.K., 2007 Introduction to random fields, arXiv:2007.09660

  2. Vorperian, H.K., Durtschi, R.B., Wang, S., Chung, M.K., Ziegert, A.J., Gentry, L.R. 2007. Estimating head circumference from pediatric imaging studies: an improved method. Academic Radiology. 14:1102-1107.

  1. Lee, J.E., Bigler, E.D., Alexander. A.L., Lazar, M., Dubray, M.B., Chung, M.K., Johnson, M., Morgan, J., Miller, J.N., McMahon, W.M., Lu, J., Jeong, E.-K., Lainhart, J.E. 2007. Diffusion tensor imaging of white mater in the superior temporal gyrus and temporal stem in autism.   Neuroscience Letters. 424:127-132.

  2. Chung, M.K. Dalton, K.M., Davidson, R.J. 2007. . Encoding neuroanatomical information using weighted spherical harmonic representation. IEEE Statistical Signal Processing Workshop. Poster. (invited paper)

  3. Chung, M.K., Dalton, K.M., Davidson, R.J. 2007. Unified cortical asymmetry analysis in autism via weighted-SPHARM. Human Brain Mapping conference. Poster (selected as one of the best 65 abstracts)

  4. Shen, L., Saykin, A.L., Chung, M.K., Huang, H. 2007. Morphometric analysis of hippocampal shape in mild cognitive impairment: an imaging genetics study. IEEE 7th International Symposium on Bioinformatics and Bioengineering (BIBE). 211-217.

Chung, M.K., Dalton, K.M., Shen, L., L., Evans, A.C., Davidson, R.J. 2007. Weighted Fourier series representation and its application to quantifying the amount of gray matter. Special Issue of  IEEE Transactions on Medical Imaging, on Computational Neuroanatomy. 26:566-581. (invited paper). Matlab

  1. Oakes, T.R., Fox, A.S., Johnstone, T., Chung, M.K., Kalin, N., Davidson, R.J. 2007. Integrating VBM into the general linear model with voxelwise anatomical covariates. NeuroImage 34:500-508.

  2. Chung, M.K. 2007. Correlation Coefficient, The Encyclopedia of Measurement & Statistics, Sage Publications. (invited paper)

  1. Vorperian, H.K., Schimek, E.M., Wang, S., Chung, M.K., Kent, R.D., Durtschi, R.B., Ziegert, A.J., Gentry, L.R. 2007. Anatomic development of the vocal tract during the first two decades of life: Evidence on perpubertal sexual dimorphism from MRI and CT studies. Acoustical Society of America (ASA) 154th meeting. Poster

  2. Wang, S., Chung, M.K., Dalton, K.M., Alexander, A.L., Davidson, R.J. 2007. Automated diagnosis of autism using Fourier series expansion of corpus callosum boundary. Human Brain Mapping conference. Poster

  3. Kelley, D.J., Dalton, K.M., Nacewicz, B.M., Johnstone, T., Chung, M.K., Oakes, T.R., Alexander, A.L., Davidson, R.J. 2007. Autism eye gaze behavior depends on functional amygdala connectivity with the superior temporal area. Human Brain Mapping conference. Poster 

  4. Lee, J.E.  Chung, M.K., Hsu, D., Alexander, A.L. 2007. Probabilistic connectivity using Kullback-Leibler distance, International Socieity for Magnetic Resonance in Medicine (ISMRM) conference. Poster

  5. Lee, J.E., Lazar, M., Alexander, A.L., Bigler, E., Chung, M.K., Hsu, D., Lainhart, J. 2007. Tissue-Specific, Smoothing-Compensated Voxel-Based Analysis of DTI Data. International Socieity for Magnetic Resonance in Medicine (ISMRM) conference. Poster

2006

  1. Shen, L., Saykin, A.J., Chung, M.K., Huang, H., Ford, J., Makedon, F., McHugh, T.L., Rhodes, H. 2006.  Morphometric analysis of genetic variation in hippocampal shape in mild cognitive impairment: role of an IL-6 promoter polymorphism. Computational Systems Bioinformatics (CSB).

  2. Chung, M.K., Shen, L., Dalton, K.M., Davidson, D.J. 2006.  . Multi-scale voxel-based morphometry via weighed spherical harmonic representation. Third International Workshop on Medical Imaging and Augmented Reality (MIAR). Lecture Notes in Computer Science (LNCS). 4091:36-43 (selected for oral)

  3. Shen, L., Chung, M.K. 2006.  Large-scale modeling of parametric surfaces using spherical harmonics. Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT).

  4. Chung, M.K., Robbins, S., Dalton, K.M., Wang, S., Evans, A.C., Davidson, R.J. 2006. Tensor-based cortical morphometry via weighted spherical harmonic representation. IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (selected for oral presentation as one of the best 13 papers out of 112 submissions)

  5. Chung, M.K. 2006. Heat kernel smoothing on unit sphere..  IEEE International Symposium on Biomedical Imaging (ISBI) 1430.

  6. Lee, J.E., Chung, M.K., Alexander, A.L. 2006. . Evaluation of anisotropic filters for diffusion tensor imaging.  IEEE International Symposium on Biomedical Imaging (ISBI) 1241.

  7. Lee, J.E., Chung, M.K., Alexander, A.L. 2006. Evaluation of anisotropic filtering for DTI as a function of SNR. Proceedings of the 14th ISMRM Scientific meeting (selected for oral)

2005

Chung, M.K., Robbins,S., Dalton, K.M., Davidson, Alexander, A.L., R.J., Evans, A.C. 2005. Cortical thickness analysis in autism via heat kernel smoothing. NeuroImage 25:1256-1265 (selected for cover illustration) Matlab

  1. Chung, M.K., Robbins, S., Evans, A.C. 2005. Unified statistical approach to cortical thickness analysis. Information Processing in Medical Imaging (IPMI). Lecture Notes in Computer Science (LNCS) 3565:627-638. (acceptance rate < 26%). Matlab

  2. Shen, L., Saykin, A., McHugh, T., West, J., Rabin, L., Wishart, H., Chung, M.K., Makedon, F. 2005. Morphometric analysis of 3D surfaces: appliction to hippocampal shape in mild cognitive impairment. 6th. International conference on Computer vision, Pattern Recognition and Image Processing (CVPRIP). 2005.


Chung, M.K., Lee J.E., Alexaender, A.L. 2005. Anisotropic kernel smoothing in diffusion tensor imaging: theoretical framework. TR1109. Department of Statistics, University of Wisconsin-Madison. (ENAR 2005 invited talk).

  1. Vorperian, H.K., Chung, M.K., Gentry, L.R., Kent, R.D., Durtschi, R.B., Wang, S., Choih, C.S., Ziegert, A.J. 2005. Vocal tract length development during the first two decades of life: a magnetic resonance imaging study. 150th meeting of Acoustical Society of America (ASA)Poster.

  2. Shen, L., Saykin, A., McHugh, T., West, J., Rabin, L., Wishart, H., Chung, M.K., Makedon, F. 2005. Morphometric MRI studie of hippocampal shape in MCI using spherical harmonics. Alzheimer's Association International Conference on Prevention of Dementia.

  3. Chung, M.K., Tulaya, L. 2005. Introducing heat and geodesic kernel smoothing on cortical manifolds, 11th Annual Meeting of the Organization for Human Brain Mapping, Toronto. Poster.

  4. Chung, M.K., Kim, D.M., Robbins, S., Evans, A.C., Davidson, R.J. 2005. Partial correlation mapping of cognitive measure and cortical thickness in autism, 11th Annual Meeting of the Organization for Human Brain Mapping, Toronto. Poster.

  5. Xie, X., Chung, M.K., Grace, W. 2005. Magnetic resonance image segmentation with thin plate spline thresholding. 11th Annual Meeting of the Organization for Human Brain Mapping, Toronto. Poster.

  6. Levy, D.M., Fisher, T.G., Chung, M., Lee, J.H., Lazar, M., Oakes, T.R., Kim, J.S., Alexander, A.L. 2005. Characterization of Voxel-Based Variance in DTI Measurements, 13th Meeting of International Society for Magnetic Resonance in Medicine.

  7. Lee, J.H., Chung, M.K., Oakes, T.E., Alexander, A.L. 2005. Anisotropic Gaussian kernel smoothing of DTI data. 13th Meeting of International Society for Magnetic Resonance in Medicine. 2253.

2004

  1. Chung, M.K., Dalton, K.M., Alexander, A.L., Davidson, R.J. 2004.  Less white matter concentration in autism: 2D voxel-based morphometry. NeuroImage 23:242-251. Data/Matlab


Pizzagalli, D.A., Oakes, T.R, Fox, A.S., Chung, M.K., Larson, C.L., Abercrombie, H.C., Schaefer, S.M., Benca, R.M., Davidson, D.J. 2004 Functional but not structural subgenual prefrontal cortex abnormalities in melcancholia. Molecular Psychiatry 9:393-405

  1. Wu, Y.-C., Field, A.S., Chung, M.K., Badie, B., Alexander, A.L. 2004. Quantitative analysis of diffusion tensor orientation: theoretical framework Magnetic Resonance in Medicine 52:1146-1155.

  2. Chung, M.K., Taylor, J. 2004. Diffusion smoothing on brain surface via finite element methodIEEE International Symposium on Biomedical Imaging (ISBI). 562. Poster. MATLAB

  1. Chung, M.K. Tang, S. 2004. Nonparametric estimation of cortical thickness, 10th Annual Meeting of the Organization for Human Brain Mapping. Budapest, Poster.

  2. Chung, M.K., Dalton, K.M., Alexander, A.L., Davidson, R.J. 2004. 2D Voxel-based morphometry shows less white matter concentration in autism, 10th Annual Meeting of the Organization for Human Brain Mapping. Poster.

  3. Hoffmann, T.J., Chung, M.K., Dalton, K.M., Alexander, A.L., Wahba, G., Davidson, R.J. 2004. Subpixel curvature estimation of the corpus callosum via splines and its application to autism, 10th Annual Meeting of the Organization for Human Brain Mapping. Poster.

2003

  1. Chung, M.K., Worsley, K.J., Robbins, S., Evans, A.C. 2003. Tensor-based brain surface modeling and analysisThe proceeding of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Vol I 467-473 (acceptance rate < 24%). 

  2. Chung, M.K., Worsley, K.J., Robbins,  S., Paus, P.,  Taylor, J., Giedd, J.N., Rapoport, J.L., Evans, A.C. 2003. Deformation-based surface morphometry with an application to gray matter DeformationNeuroImage. 18:198-213. (invited paper based on 2001 OHBM abstract, selected for cover illustration)

  3. Chung, M.K., Lazar, M., Alexander, A.L., Lu., Y., Davidson, R. 2003. Probabilistic connectivity measure in diffusion tensor imaging via anisotropic kernel smoothing, TR 1081. Department of Statististics, Universisty of Wisconsin-Madison

  1. Chung, M.K., Alexander, A.L., Lu, Y. 2003. Connection Probability in Diffusion Tensor Imaging via Anisotropic Gaussian Kernel Smoothing, 9th Annual Meeting of the Organization for Human Brain Mapping.

  2. Chung, M.K., Worsley, K.J., Paus, T., Robbins, S.,  Taylor, J., Giedd, J.N., Rapoport, J.L., Evans, A.C. 2003. Detecting Gray Matter Maturation via Tensor-based Surface Morphometry. 9th Annual Meeting of the Organization for Human Brain Mapping.

  1. Fox, A., Oakes, T., Dalton, K.,  Chung, M.K. 2003.  Alexander, A.L., Davidson, R.,  Preserving Individual Differences for Voxel-Based Morphometry (VBM), 9th Annual Meeting of the Organization for Human Brain Mapping.

  2. Pizzagalli, D.A., Chung, M.K., Oakes, T.R., Davidson, R.J. 2002. Subgenual Prefrontal and Orbitofrontal Cortex Dysfunction in Melancholia: Functional and Structural Correlates Using Concurrent EEG/PET Measurements and Voxel-Based MRI Moprhometry analyses, 42nd Annual Meeting of the Society for Psychophysiological Research, Washington, D.C.

  3. Lu, Y., Chung, M.K. 2002.  An Area-Preserving Brain Suface Flattening Method, 8th Annual Meeting of the Organization for Human Brain Mapping.

2001

  1. Chung, M.K., Worsley, K.J. , Paus, T., Cherif, C.,  Giedd, J.N.,  Rapoport, J.L,  Evans, A.C. 2001. A unified statistical approach to deformation-based morphometry, NeuroImage 14:595-606 (selected for cover illustration)

  2. J.A. Hanley, L. Joseph, R.W. Platt,  Chung, M.K., Patric Belisle 2001. Visualizing the median as the minimum-deviation LocationThe American Statistician, 55:150-152.

  3. Chung, M.K. 2001. Statistical morphometry in neuroanatomy, PhD Thesis, McGill University.

  4. Chung, M.K., K.J. Worsley, J. Taylor, J.O. Ramsay, S. Robbins, A.C. Evans 2001. Diffusion smoothing on the cortical SurfaceNeuroImage, 13:S95. PDF  Scanned PDF  poster

  5. Taylor, J. ,Worsley, K.J., Chung, M.K., Evans, A.C. 2001. Thresholding non-stationary SPMs with an application to cortical surface mapping, NeuroImage 13S:264.

  6. Chung, M.K., Worsley, K.J., Robbins S., Paus, T., Taylor, J., Giedd, J.N., Rapoport, J.L., Evans A.C. 2001. Statistical analysis of cortical surface area change, with an application to brain growth, Neuroimage 13S:96.

  7. Chung, M.K., Worsley, K.J., Taylor, J., Ramsay, J.O. 2001.  Diffusion smoothing in brain imaging, The proceedings of the 53rd Session of the International Statistical Institute.


J.S. Kim, J.S. Lee, D.S. Lee, M.J. Jang, E. Kang, Chung, M.K., K.J. Worsley, S. Robbins, D.L. Collins, J.C. Kim, J-K. Chung, M.C. Lee 2001. Longitudinal analysis of local volume changes in brain of cortical deafness using F-18-FDG PET and deformation-based morphometry, NeuroImage, 13S:1202.

2000

  1. Chung, M.K., Worsley, K.J., Cherif, C., Paus, T., Collins, D.L.,  Rapoport,  J.L., Evans, A.C. 2000. Statistiscal analysis of local volume change, with an application to brain growth, Annual Meeting of the Organization for Human Brain Mapping, NeuroImage 11S:611 poster (selected for oral and NIH travel award).

  2. Chung, M.K., 2000. The Expectation of the Determinant of a Random Matrix, Image: The Bulletin of the International Linear Algebra Society, 23.

Technical reports and conference abstracts

  1. Chung, M.K., Huang, S.-G., Lyu, I. 2020 Parametric representation of sulcal and gyral trees, IEEE International Symposium on Biomedical Imaging (ISBI) 56

  2. Hinrichs, C., Chung, M.K. Johnson, S., Singh, V.  2012. SVM-based markers yield superior neuroimaging-based clinical trial outcome measures for Alzheimer’s disease. 18th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 7672

  3. Kim, S.-G., Chung, M.K. Jung, W.H., Jang, J.H., Kwon, J.S. 2012. Altered properties in the cortical thickness network of patients with obsessive-compulsive disorder. 18th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 5645.

  4. Kim, S.-G., Chung, Schaefer, S., Chung, M.K., van Reekum, C., Davidson, R.J. 2012. Statistical power maps for sparse representation of subcortical brain structures. 18th Annual Meeting of the Organization for Human Brain Mapping (OHBM). 5672.

  5. Lee, H., Chung, M.K., Kang, H., Kim, B.-N., Lee, D.S. 2011. Computing the shape of brain network using graph filtration and Gromov-Haudorff metric Department of Biostatistics and Medical Informatics TR 215. University of Wisconsin-Madison.

  6. Lee, H., Lee, D.S., Kang, H., Kim, B.-N., Chung, M.K. 2010. Sparse brain network recovery under compressed sensing. Department of Biostatistics and Medical Informatics TR 213. University of Wisconsin-Madison.

  7. Chung, M.K., Worsley, K.J., Nacewicz, B.M., Dalton, K.M., Davidson, R.J. 2009. Multivariate amygdala shape modeling. Department of Biostatistics and Medical Informatics TR 206. University of Wisconsin-Madison.

  1. Hanson, J.L., Chung, M.K., Sutterer, M.J., Nacewicz, B.M., Pollak, S.D., Davidson. R.J. 2008. Smaller Amygdalae are associated with early social deprivation in childhood. Society for Neuroscience Meeting. Abstracts. 477.11/QQ10. Poster

  2. Vorperian, H.K., Wang, S., Chung, M.K., Durtschi, R.B., Schimek, E.M., Gentry, L.R., Kent, R.D. 2008. Relational growth of oral and pharyngeal structures with vocal-tract length during the first two decades of life as visualized from MRI and CT studies. American Speech-Language Hearing Association  (ASHA) Convention. Session 1838. Poster 244.

  1. Wang, S., 2008. Weighted Fourier image analysis and modeling. PhD thesis. University of Wisconsin-Madison.

  2. Kelley, D.J. 2008. Functional connectivity of Affective Face Processing Network in Autism. PhD thesis. University of Wisconsin-Madison.

  3. Chung, M.K. Nacewicz, B.M., Wang, S., Dalton, K.M., Pollak, S., Davidson, R.J. 2008. Amydala surface modeling with weighted spherical harmonicsDepartment of Biostatistics and Medical Informatics TR 202, University of Wisconsin-Madison.

  4. Chung, M.K., Dalton, K.M., Davidson, R.J. 2007. Tensor-based cortical surface morphometry via weighed spherical harmonic representation. Department of Biostatistics and Medical Informatics TR 199, University of Wisconsin-Madison.

  5. Chung, M.K. Hartley, R., Dalton, K.M., Davidson, R.J. 2007. Encoding cortical surface by spherical harmonics. Department of Biostatistics and Medical Informatics TR 198, University of Wisconsin-Madison.

  6. Lee, J.E. 2006. Anistropic acquisition and analysis  for diffusion tensor magnetic resonance imaging. PhD thesis. University of Wisconsin-Madison.

  7. Xie, X., Chung, M.K., Wahba, G. 2006. Magnetic resonance image segmentation with thin plate spline thresholding. TR 1105. Department of Statististics, Universisty of Wisconsin-Madison.

  8. Chung, M.K., Dalton, K.M., Shen, L., L., Evans, A.C., Davidson, R.J. 2006. Unified cortical surface morphometry and its appliction to quantifying amount of gray matter.  TR 1122. Department of Statistics, Univ. of Wisconsin-Madison.

  9. Chung, M.K., Shen, L., Dalton, K.M., Davidson, D.J. 2006. Multi-scale voxel-based morphometry via weighed spherical harmonic representation. submitted. TR 1121. Department of Statistics, Univ. of Wisconsin-Madison.

  10. Chung, M.K., Shen, L., Kelley, D.J., Dalton, K.M., Robbins, S., Evans, A.C., Davidson, R.J. 2006. Weighted spherical harmonic representation and its application to cortical analysis. TR 1118. Department of Statistics, Univ. of Wisconsin-Madison.

  11. Chung, M.K., Robbins, S., Dalton, K.M., Wang, S., Evans, A.C., Davidson, R.J. 2006. Model building in two-sphere via Gauss-Weierstrass kernel smoothing and its application to cortical analysis, Part II: tensor-based cortical morphometry via weighted spherial harmonic representation. TR 1116. Department of Statistics, Univ. of Wisconsin-Madison.

  12. Chung, M.K. 2006. Model building in two-sphere via Gauss-Weierstrass kernel smoothing and its application to cortical analysis, Part I: Gauss-Weierstrass kernel smoothing on unit sphere. TR 1115. Department of Statistics, Univ. of Wisconsin-Madison.

  13. Wang, S, Chung, M.K. 2005. Paramerization and classification of closed anatomical curves. TR 1113. Department of Statistics, University of Wisconsin-Madison.


Kelley, D.J., Dalton, K.M., Nacwicz, B.M., Johnstone, T., Chung, M.K., Schaefer, H.S., Oakes, T.R., Alexander, A.L., Davidson, R.J. 2005. Altered functional connectivity of amygdala emotional face processing circuitry in autism. The Society for Neuroscience (SFN) meeting.

  1. Xie, X. 2005. Smoothing in magnetic resonance image analysis and a hybrid loss for support vector machine. PhD thesis. TR 1110. Department of Statistics, University of Wisconsin-Madison.

  2. Chung, M.K., Kim, D.M., Kelley, D.J., Robbins, S., Evans, A.C., Davidson, R.J. 2005. Partial correlation mapping of anatomical and behavioral measures and its application to autism. TR1109. Department of Statistics, University of Wisconsin-Madison.

  3. Chung, M.K. 2004. Heat kernel smoothing and its application to cortical manifolds. TR 1090. Department of Statististics, Universisty of Wisconsin-Madison.

  4. Chung, M.K., Dalton, K.M., Alexander, A.L., Davidson, R.J. 2004. White Matter Density of Corpus Callosum in Autism: 2D Voxel-Based Morphometry. TR. 1089. Department of Statististics, Universisty of Wisconsin-Madison.

  5. Hoffmann, T.J. 2004. Subpixel morphometric analysis of corpus callosum with application to autism. BSc thesis. TR 1101. Department of Statistics, University of Wisconsin-Madison.





Lecture slides

Books


The third book focuses  on methodological issues in analyzing both structural and functional brain networks. Concepts and methods are illustrated with real imaging applications and examples.







The second book focuses  on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Concepts and methods are illustrated with real imaging applications and examples.








The first book
provides an overview of various mathematical, statistical and computational methodologies used in computational neuroanatomy to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.












































































Large-scale brain networks with billions of connections. See Chung et al. (2017)







Multi-dimensional persistent homology is used to integrate PET and MRI. See Lee et al. (2016)






Statistic map showing significant growth rate difference between children from low-income and high-income families. See Chung et al. (2016).






































Uniform node selection along the cortical surface. The color corresponds to the Jacobian determinant of the deformation field with respect to the template. See Chung et al. (2015).























The Laplace-Beltrami eigenfunction based heat kernel smoothing is performed on the mandible surface . The method is mathematically equivalent to heat diffusion and recently popular diffusion wavelets.
See Chung et al. (2015).


























































































A novel multiscale network analysis framework using persistent homlology is introduced. The concept of graph filtration is introduced for the first time. See Lee et al. (2012).


























A new framework for measuring the network difference using the Gromov-Hausdor (GH) distance is introduced. See Lee et al. (2011).












Compressed sensing based sparse network model is introduced for the first time. See Lee et al. (2011).














This paper present a first unified computational and statistical framework for modeling amygdala shape variations in a clinical population.





The Green’s function of an isotropic diffusion equation on a manifold is analytically represented using the eigenfunctions of the Laplace-Beltraimi operator. 







We present a novel cosine series representation for encoding fiber bundles consisting of multiple 3D curves using the cosine series expansion. We address the issue of registration, averaging and statistical inference on curves in a unified Hilbert space framework. 



We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically large number of different pairings possible, we show that representations derived from specific pairing schemes provide concise representations of the image. 





We present a novel framework for characterizing signals in images using techniques from computational algebraic topology. The main tool is persistent homology which can be encoded in persistence diagrams.  These diagrams visually show how the number of connected components of the sublevel sets of the signal changes.







Most previous approaches start with flipping the 3D magnetic resonance images (MRI). The anatomical correspondence across the hemispheres is then established by registering the original image to the flipped image. We present a radically different asymmetry analysis that utilizes a novel weighted spherical harmonic representation of cortical surfaces.



We present a new tensor-based morphometric framework that quantifies cortical shape variations using a local area element. The local area element is computed from the Riemannian metric tensors, which are obtained from the smooth functional parametrization of a cortical mesh. For the smooth parametrization, we have developed a novel weighted spherical harmonic (SPHARM) representation.

















The weighted Fourier Series (WFS) representation is a data smoothing technique that provides the explicit smooth functional estimation of unknown cortical boundary as a linear combination of basis functions. The basic properties of the representation are investigated in connection with a self-adjoint partial differential equation and the traditional spherical harmonic (SPHARM) representation.
















We present a novel data smoothing and analysis framework for cortical thickness data defined on the brain cortical manifold.  When the observations lie on a convoluted brain surface, however, it is more natural to assign the weights based on the geodesic distance along the surface. We therefore develop a framework for geodesic distance-based kernel smoothing and statistical analysis on the cortical manifolds.