Publication


2017


Chung, M.K. 2017 How to analyze big brain network data (invited paper), in preparation.

Lee, M.-H., Kim, D.-Y., Chung, M.K., Adluru, N., Alexander, A.L., Davidson, R.J. 2017 Topological properties of the brain network constructed using the epsilon-neighbor method in patients with autism, under review.

Chung, M.K., Adluru, N., Vorperian, H.K. 2017 A unified statistical approach to modeling the shape of human hyoid bone growth in CT images, under review. arXiv:1601.03474

Wang, Y., Ombao, H., Chung, M.K. 2017 Topological data analysis of single-trial electroencephalographic signals. Annals of Applied Statistics, under review

Solo, V., Bowman, D., Poline, J.-B., Lindquist, A., Simpson, S.L., Bowman, F.D., Chung, M.K., Cassidy, B. Connectivity in fMRI: A review and preview. IEEE Transactions on Medical Imaging (invited paper), in preparation


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. Jounral of Comparative Neurology. arXiv:1609.01384


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). in press.

Yuan 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, in press

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, in press 
(invited paper, plenary talk), Extended version arXiv:1701.04171

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, in press, 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).(selected for oral, 20% rate). slides. Longer version: arXiv:1509.04771

  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 slides (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). Talk, Poster


  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

  2. 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

  3. 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

  4. 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

  5. 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. 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.

  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.

  5. 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)

  2. 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)

  3. 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)

  4. 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.

  5. 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

  6. 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)

  7. 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.

  8. 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


2009

  1. 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).

  2. 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 rate 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


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. 



2007

  1. 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.

  2. 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.

  3. 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)

  4. 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)

  5. 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)


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.


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


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


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.


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, Students Reports and Abstract

  1. 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

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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). 

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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. 

  16. 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. 

  17. 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

  18. 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

  19. 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.

  20. 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

  21. 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.

  22. 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.

  23. 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.
  24. Chung, M.K. 2008. A new validation technique for cortical data smoothing. 14th Annual Meeting of the Organization for Human Brain Mapping. Poster.

  25. 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

  26. 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

  27. 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 

  28. 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

  29. 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

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

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

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

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

  46. 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.

  1. Lee, H., Kang, H.K., Chung, M.K., Kim, B.-N., Lee, D.S. 2012. Persistent brain network homology from the perspective of dendrogram, Department of Biostatistics and Medical Informatics TR 228. University of Wisconsin-Madison.

  2. 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.

  3. 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.

  4. 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.

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

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

  7. 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.

  8. 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.

  9. 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.

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

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

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

  18. 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.

  19. 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.

  20. 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).

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

  22. 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.

  23. 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.





































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).


















































































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.















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.