Books and Chapters
Zhu HT, Joseph G. Ibrahim, Hyunsoon Cho, and Niansheng Tang (2010). Bayesian Influence Methods. In Frontiers of Statistical Decision Making and Bayesian Analysis (eds. M.-H., Chen, D.K. Dey, P. Muller, D. Sun, and K. Ye). New York: Springer. In press.
Bansal, R., Zhu, HT (in alphabetic order). Neuroimaging
methods in the study of childhood psychiatric disorders. Lewis's Child and
Adolescent Psychiatry: A Comprehensive Textbook, Fourth Edition, Edited
by Melvin Lewis, 30 pages,
Zhu, H.T. , Liang, F.M., Gu, M.G., Peterson, B. S. Stochastic approximation algorithms for estimation of spatial mixed models. Handbook of Computing and Statistics with Application, S.Y.Lee (ed.), 399-421, Elsevier Science, 2007
Zhu, HT and Zhang HP. Structure mixture regression models. InDevelopment of Modern Statistics and Related Topics, H.P.Zhang and J.Huang (ed.), World Scientific Publisher, New Jersey, pp. 272-287, 2003.
Wei BC, Wang F, and Zhu, HT . TranslateBates, D. andWatts, D. (1988).Nonlinear Regression Analysis and its Applications.John Wiley and Sons, Inc., New York, into Chinese version. Statistics Publisher, Beijing,P.R.China, pp.1-409,1998.
Journal Papers
2016
Allen, G. I., …, Zhu, H., Zhu, S. and ADNI. 2016. Crowd sourced estimation of cognitive decline and resilience in Alzheimer’s disease. Alzheimer’s & Dementia. in press, 2016. Lin, L., Thomas, B. S., Zhu, H.T. and Dunson, D. B. Extrinsic local regression on manifold-valued data. Journal of American Statistical Association, in press, 2016. Wang, X. and Zhu, H.T. Generalized scalar-on-image regression models via total variation. Journal of American Statistical Association, in press, 2016. Luo, X., Zhu, L.X., and Zhu, H.T. Single-index Varying Coefficient Model for Functional Responses. Biometrics, in press, 2016. Song, X. Y, Xia, Y.M. and Zhu, H.T. Hidden markov latent variable models with multivariate longitudinal data. Biometrics, in press, 2016. Li, J. L., Huang, C. and Zhu, H.T. A Functional Varying-Coefficient Single Index Model for Functional Response Data. Journal of American Statistical Association, in press, 2016. Shen, D., Shen, H., Zhu, H.T., and Marron, J. The statistics and mathematics of high dimension low sample size asymptotics. Statistica Sinica, in press, 2016. Cornea, E., Zhu, H.T., Kim, P. and Ibrahim, J. G. Intrinsic regression model for data in Riemannian symmetric space. JRSS, Series B, in press, 2016. S. C. Jha, S. Meltzer-Brody, R. J. Steiner, E. Cornea, S. Woolson, M. Ahn, A. R. Verde, R. M. Hamer, H. Zhu, M. Styner, J. H. Gilmore, R. C. Knickmeyer. Antenatal Depression, Treatment with Selective Serotonin Reuptake Inhibitors, and Neonatal Brain Structure: A Propensity-Matched Cohort Study. Psychiatry Research: Neuroimaging, in press. J.W. Hyun, Y. Li, C. Huang, M. Styner, W. Lin, and H. Zhu. STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. NeuroImage, in press. J.N. Kornegay, D.J. Bogan, J.R. Bogan, J.L. Dow, J. Wang, Z. Fan, N. Liu, L, Warsing, R. W. Grange, M. Ahn, C. J.Balog-Alvarez, S. W. Cotten, M.S. Willis, C. Brinkmeyer-Langford, H. Zhu, J. Palandra, C. A. Morris, M.A. Styner, K. R. Wagner. (2016). Dystrophin-Deficient Dogs with Reduced Myostatin have Unequal Muscle Growth and Greater Joint Contractures. Skeletal Muscle, in press Geng, X., Li, G., Lu, Z., Wang, L., D. Shen, Zhu, H. and J. H. Gilmore. (2016). Structural and Maturational Covariance in Early Childhood Brain Development. Cerebra Cortex, in press.
2015
Huang, C., Liang, S., Niethammer, M., Zhu, H.T. (2015). Disease Region Detection of Longitudinal Knee MRI data. IEEE Transaction on Medical Imaging, 34, 1914-1927. Winner of Best Paper award in ASA SI Session, 2014. An H, Ford AL, Chen Y, Zhu H, Ponisio R, Kumar G, Modir-Shanechi A, Khoury N, Vo KD, Williams JA, Derdeyn CP, Diringer MN, Panagos P, Powers WJ, Lee JM, Lin W. Defining the Ischemic Penumbra using Magnetic Resonance Oxygen Metabolic Index. Stroke, in press, 2015. S.J. Lee, R. J. Steiner, S. Luo, M. C. Neale, M. Styner, H. Zhu, J.H. Gilmore. (2015). Quantitative tract-based white matter heritability in twin neonates. NeuroImage, 111, 123–135. Lu, Z. H., Zhu, H.T., R.C. Knickmeyer, P.F. Sullivan, W.N. Stephanie, and Fei Zou, Multiple SNP-sets Analysis for Genome-wide Association Studies through Bayesian Latent Variable Selection. Genetic Epidemiology, 39, 664-677, 2015. D. Kong, K. S. Giovanello, Y.L. Wang, W. Lin, E. Lee, Y. Fan, P. M. Doraiswamy, and Hongtu Zhu, ADNI (2015). Predicting Alzheimer’s disease using combined imaging-whole genome SNP data. Journal of Alzheimer’s Disease, 46: 695-702. M.Huang, T.Nichols, C.Huang, Y.Yang, Z. Lu, Q. Feng, R.C. Knickmeyer, H.Zhu, and for ADNI. (2015). FVGWAS: Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data. NeuroImage, 118, 613-627. Lee, E.J., Zhu, H.T., D. Kong, and Ibrahim, J. G. A Bayesian functional linear Cox regression model (BFLCRM) for predicting time to conversion to Alzheimer's disease. Annals of Applied Statistics, 9, 2153-2178, 2015. Rao, S., Ibrahim, J. G., Cheng, G. Yap, P.T., and Zhu, H.T. SR-HARDI: Spatially regularizing high angular resolution diffusion imaging. Journal of Computational and Graphical Statistics, in press, 2015. Lu, Z.H., Chow, S. M., Sherwood, A. and Zhu, H.T. Bayesian analysis of nonlinear latent stochastic differential equations with application to human dynamics. Annals of Applied Statistics, 9, 1601-1620, 2015. Zhu, H, Chen, M.H., and Ibrahim, J.G. Diagnostic measures for the Cox regression model with missing covariates, Biometrika, 102, 907-923, 2015. Huang, C., Styner, M., and Zhu, H.T. Penalized mixtures of offset-normal shape factor analyzers with application in clustering high-dimensional shape data. Journal of American Statistical Association, 110, 946-961, 2015. Mihye, A., Shen, H.P., Lin, W. L., and Zhu, H.T. A sparse reduced rank framework for group analysis of functional neuroimaging data. Statistica Sinica, 25, 295-312, 2015. Gao, Q. B., Mihye, A., and Zhu, H.T. Cook’s distance measures for varying coefficient models with functional response. Technometrics, 57, 268-280, 2015. Guo, R.X., Ahn Mihye, and Zhu, HT. Spatially weighted principal component analysis for imaging classification, Journal of Computational and Graphical Statistics, 24(1), 274-296, 2015. Sun, Q., Zhu, H.T., Liu, Y. F., and Ibrahim, J.G. SPReM: Sparse Projection regression model for high-dimensional linear regression. Journal of American Statistical Association, 110, 289-302, 2015.
2014
Villarreal-Calderon, R., Luévano-González, A., Aragón-Flores, M., Zhu, H. T., Yuan, Y., Xiang, Q., Yan, B., Stoll, K. A., Cross, J. V., Iczkowski, K. A., and Mackinnon, A. C. Jr. Antral atrophy, intestinal metaplasia, and pre-neoplastic markers in Mexican children with Helicobacter pylori-positive and negative gastritis. Annals of Diagnostic Pathology, 18: 129-135,2014.
Lin, J., Zhu, H. T., Ahn, M., and Ibrahim, J. G. Functional mixed effects models for imaging genetic data. Genetic Epidemiology, 38: 680-691, 2014.
Zhu, H. T., Chen, Q. X., and Ibrahim, J. G. Bayesian case-deletion model complexity and information criterion. Statistics and Its Interface, 4: 531-542, 2014.
Zhu, H. T., Khondker, Z. S., Lu, Z. H., and Ibrahim, J. G. Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers. Journal of American Statistical Association, 109: 1084-1098, 2014.
Nguyen, T., Cevidanes, L., Paniagua, B., Zhu, H. T., de Paula, L. K., and De Clerck, H. Use of shape correspondence analysis to quantify skeletal changes associated with bone-anchored class III correction. The Angle Orthodontist, 84: 329-336, 2014.
Knickmeyer, R. C., Wang, J. P., Zhu, H. T., Geng, X., Woolson, S., Hamer, R. M., Konneker, T., Lin, W. L., Styner, M., and Gilmore, J. H. Common variants in psychiatric risk genes predict brain structure at birth. Cerebra Cortex, 24: 1230-1246, 2014.
Knickmeyer, R. C., Wang, J. P., Zhu, H. T., Geng, X., Woolson, S., Hamer, R. M., Konneker, T., Styner, M., and Gilmore, J. H. Impact of Sex and Gonadal Steroids on Neonatal Brain Structure. Cerebra Cortex, 24: 2721-2731, 2014.
Ford, A. L., An, H., Kong, L., Zhu, H. T., Vo, K. D., Powers, W. J., Lin, W., and Lee, J. M. Clinically-relevant reperfusion in acute ischemic stroke: MTT performs better than Tmax and TTP. Translational Stroke Research, 5: 415-421, 2014.
Fan, Z., Wang, J. H., Ahn, M., Shiloh-Malawsky, Y., Chahin, N., Elmore, S., Bagnell, R., Wilber, K., An, H. Y., Lin, W., Zhu, H. T., Styner, M., and Kornegay, J.N. Characteristics of MRI biomarkers in a natural History study of golden retriever muscular dystrophy. Neuromuscular Disorder, 24: 178-191, 2014.
Chen, Y. S., Zhu, H. T., An, H. Y., and Lin, W. More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines. Brain Structure and Function, 219: 551-569, 2014.
Tao, Y., Zhang, X., Chopra, M., Kim, M. J., Buch, K. R., Kong, D., Jin, J., Tang, Y., Zhu, H. T., Jewells, V., and Markovic-Plese, S. The Role of Endogenous IFNβ in the Regulation of Th17 Responses in Patients with Relapsing-Remitting Multiple Sclerosis. Journal of Immunology, 192: 5610-5617, 2014.
Cevidanes, L. H., Walker, D., Schilling, J., Sugai, J., Giannobile, W. V., Paniagua, B., Benavides, E., Zhu, H. T., Marron, J. S., Jung, B., Baranowski, D., Rhodes, J., Ludlow, J. B., Nackley, A., Lim, P. F., Nguyen, T., Goncalves, J., Wolford, L., Kapila, S., and Styner, M. 3D OsteoarthriticChanges in TMJ Condylar Morphology Correlates with Specific Systemic and Local Biomarkers of Disease. Osteoarthritis and Cartilage, 22: 1657-1667, 2014.
Gao, W., Elton, A., Zhu, H. T., Alcauter, S., Smith, J., Gilmore, J. H., and Lin, W. Inter-subject Variability of and Genetic Effects on the Brain's Functional Connectivity during Infancy. Journal of Neuroscience, 34: 11288-11296, 2014.
Bompard, L., Xu, S., Styner, M., Paniagua, B., Ahn, M., Yuan, Y., Jewells, V., Gao, W., Shen, D.G., Zhu, H. T., and Lin, W. Multivariate Longitudinal Shape Analysis of Human Lateral Ventricles during the First Twenty-Four Months of Life. PLOS ONE, 2014.
Li, G., Wang, L., Shi, F., Lyall, A. E., Ahn, M., Peng, Z., Zhu, H. T., Lin, W., Gilmore, J.H., and Shen, D.G. Cortical Thickness and Surface Area in Neonates at High Risk for Schizophrenia. accepted for Brain Structure and Function, 2014.
Kornegay, J. N., Peterson, J. M., Bogan, D. J., Kline, W., Bogan, J. R., Dow, J. L., Fan, Z., Wang, J., Ahn, M., Zhu, H. T., Styner, M., and Guttridge, D.C. NBD delivery improves the disease phenotype of the golden retriever model of Duchenne muscular dystrophy. Skeletal Muscle, 4:18, 2014.
Xia, K., Yu, Y., Ahn, M., Zhu, H. T., Zou, F., and Knickmeyer, R. C. Environmental and genetic contributors to salivary testosterone levels in infants. Frontiers in Endocrinology, in press, 2014.
Gao, Q. B., Ahn, M., and Zhu, H. T. Cook’s distance measures for varying coefficient models with functional response. Technometrics, in press, 2014.
Hyun, J. W., Li, Y. M., Gilmore, J., Lu, Z. H., Styner, M., and Zhu, H. T. SGPP: Spatial Gaussian Predictive Process Models for Neuroimaging Data. NeuroImage, 89, 70–80, 2014.
Chow, S. M., Lu, Z. H., Sherwood, A., and Zhu, H. T. Fitting nonlinear ordinary differential equation models with random effects using the stochastic approximation expectation-maximization (SAEM) algorithm. Psychometrika, In press, 2014.
Ahn, M., Shen, H. P., Lin, W. L., and Zhu, H. T. A sparse reduced rank framework for group analysis of functional neuroimaging data. Statistica Sinica, in press, 2014.
Guo, R.X., Ahn, M., and Zhu, H. T. Spatially weighted principal component analysis for imaging classification. Journal of Computational and Graphical Statistics, in press, 2014.
Sun, Q., Zhu, H. T., Liu, Y. F., and Ibrahim, J. G. SPReM: Sparse Projection Regression Model for High-dimensional Linear Regression. Journal of American Statistical Association, in press, 2014.
Zhu, H. T., Fan, J. Q., and Kong, L. L. Spatially varying coefficient models with applications in neuroimaging data with jumping discontinuity. Journal of American Statistical Association, in press, 2014.
Yuan, Y., Gilmore, J. H., Geng, X. J., Styner, M., Chen, K. H., Wang, J. L., and Zhu, H. T. FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data. NeuroImage, 2014;84:753-764.
2013
Tang, N. S., Zhao, P. Y., and Zhu, H. T. Empirical likelihood for estimating equations with nonignorably missing data. Statistica Sinica, in press, 2013.
Zhu, H. T., Ibrahim, J. G., and Tang, N. S. Bayesian sensitivity analysis of statistical models with missing data. Statistica Sinica, in press, 2013.
Hua, Z. W., Zhu, H. T., and Dunson, D. B. Semiparametric Bayes Local Additive Models for Longitudinal Data. Statistics in Biosciences, 2013:1-18.
Xu, P. R., Wang, T., Zhu, H. T., and Zhu, L. X. Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models. Statistics in Biosciences, 2013:1-21.
Verde, A. R., Budin, F., Berger, J. B., Gupta, A., Farzinfar, M., Kaiser, A., Ahn, M., Johnson, H., Matsui, J., Hazlett, H. C., Sharma, A., Goodlett, C., Shi, Y., Gouttard, S., Vachet, C., Piven, J., Zhu, H. T., Gerig, G., and Styner, M. UNC-Utah NA-MIC Framework for DTI Fiber Tract Analysis. Frontiers in Neuroinformatics, 2013;7:51.
Zhang, X. Tao, Y. Z., Chopra, M., Ahn, M., Marcus, K. L., Choudhary, N., Zhu, H. T., and Markovic-Plese, S. Differential Reconstitution of T Cell Subsets Following Immunodepleting Treatment with Alemtuzumab (Anti-CD52 Monoclonal Antibody) in Patients with Relapsing-Remitting Multiple Sclerosis. Journal of Immunology, 2013: 191, 5867-5874.
Fan, Z., Wang, J. H., Ahn, M., Shiloh-Malawsky, Y., Chahin, N., Elmore, S., Bagnell, Jr.C. R., Wilber, K., An, H. Y., Lin, W. L., Zhu, H. T., Styner, M., and Kornegay, J. N. Characteristics of magnetic resonance imaging biomarkers in a natural history study of golden retriever muscular dystrophy. Neuromuscular Disorders, 2013.
Lecornu, M., Cevidanes, L. H. S., Zhu, H. T., Wu, C. D., Larson, B., and Nguyen, T. Three-dimensional treatment outcomes in Class II patients treated with the Herbst appliance: A pilot study. American Journal of Orthodontics and Dentofacial Orthopedics, 2013;144(6):818-830.
Villarreal-Calderon, R., Franco-Lira, M., González-Maciel, A., Reynoso-Robles, R., Harritt, L. Pérez-Guillé, B., Ferreira-Azevedo, L., Drecktrah, D., Zhu, H. T., Sun, Q., Torres-Jardón, R., Aragón-Flores, M., Calderón-Garcidueñas, A., Diaz, P., and Calderón-Garcidueñas, L. Up-regulation of mRNA ventricular PRNP prion protein gene expression in air pollution highly exposed young urbanites: Endoplasmic reticulum stress, glucose regulated protein 78, and nanosized particles. International Journal of Molecular Sciences, 2013;14(12):23471-23491.
Calderón-Garcidueñas, L., Cross, J. V., Franco-Lira, M., Aragón-Flores, M., Kavanaugh, M., Torres-Jardón, R., Chao, C. K., Thompson, C., Chang, J., Zhu, H. T., and D'Angiulli, A. Brain immune interactions and air pollution: macrophage inhibitory factor (MIF), prion cellular protein (PrPC), Interleukin-6 (IL-6), interleukin 1 receptor antagonist (IL-1Ra), and interleukin-2 (IL-2) in cerebrospinal fluid and MIF in serum differentiate urban children exposed to severe vs. low air pollution. Frontiers in Neuroscience, 2013;(7 OCT).
Zhou, H., Li, L. X., and Zhu, H. T. Tensor regression with applications in neuroimaging data analysis. Journal of the American Statistical Association, 2013;108(502):540-552.
Miranda, M. F., Zhu, H. T., and Ibrahim, J. G. Bayesian spatial transformation models with applications in neuroimaging data. Biometrics, 2013;69(4):1074-1083.
Behler, R. H., Czernuszewicz, T. J., Wu, C. D., Nichols, T. C., Zhu, H. T., Homeister, J. W., Merricks, E. P., and Gallippi, C. M. Acoustic radiation force beam sequence performance for detection and material characterization of atherosclerotic plaques: Preclinical, ex vivo results. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2013;60(12):2471-2487.
Gao, W., Gilmore, J. H., Shen, D. G., Smith, J. K., Zhu, H. T., and Lin, W. L. The synchronization within and interaction between the default and dorsal attention networks in early infancy. Cerebral Cortex, 2013;23(3):594-603.
Li, Y. M., Gilmore, J. H., Shen, D. G., Styner, M., Lin, W. L., and Zhu, H. T. Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. NeuroImage, 2013;72:91-105.
Chen, Y. S., Zhu, H. T., An, H. Y., Armao, D., Shen, D. G., Gilmore, J. H., and Lin, W. L. More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines. Brain Structure and Function, 2013:1-19.
De Paula, L. K., Ruellas, A. C. O., Paniagua, B., Styner, M., Turvey, T. Zhu, H. T., Wang, J., and Cevidanes, L. H. S. One-year assessment of surgical outcomes in Class III patients using cone beam computed tomography. International Journal of Oral and Maxillofacial Surgery, 2013;42(6):780-789.
Calderón-Garcidueñas, L., Mora-Tiscareño, A., Francolira, M., Torres-Jardón, R., Peña-Cruz, B., Palacios-López, C., Zhu, H. T., Kong, L. L., Mendoza-Mendoza, N., Montesinoscorrea, H., Romero, L., Valencia-Salazar, G., Kavanaugh, M. and Frenk, S. Exposure to urban air pollution and bone health in clinically healthy six-year-old-children. Arhiv za Higijenu Rada i Toksikologiju, 2013;64(1):23-34.
Calderón-Garcidueñas, L., Serrano-Sierra, A., Torres-Jardón, R., Zhu, H. T., Yuan, Y., Smith, D., Delgado-Chávez, R., Cross, J. V., Medina-Cortina, H., Kavanaugh, M., and Guilarte, T. R. The impact of environmental metals in young urbanites' brains. Experimental and Toxicologic Pathology, 2013;65(5):503-511.
Wang, J. P., Zhu, H. T., Fan, J. Q., Giovanello, K., and Lin, W. L. Multiscale adaptive smoothing models for the hemodynamic response function in fMRI. Annals of Applied Statistics, 2013;7(2):904-935.
Khondker, Z. S., Zhu, H. T., Chu, H. T., Lin, W. L., and Gilmore, J. H. The bayesian covariance lasso. Statistics and its Interface, 2013;6(2):243-259.
Shi, Y., Short, S. J., Knickmeyer, R. C., Wang, J. P., Coe, C. L., Niethammer, M., Gilmore, J. H. Zhu, H. T., and Styner, M. Diffusion tensor imaging-based characterization of brain neurodevelopment in primates. Cerebral Cortex, 2013;23(1):36-48.
Bryant, C., Giovanello, K. S., Ibrahim, J. G., Chang, J., Shen, D. G., Peterson, B. S., and Zhu, H. T. Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study. PLoS ONE, 2013;8(8).
Calderón-Garcidueñas, L., Mora-Tiscareño, A., Franco-Lira, M., Cross, J. V., Engle, R., Aragón-Flores, M., Gómez-Garza, G., Jewells, V., Medina-Cortina, H., Solorio, E., Chao, C. K., Zhu, H. T., Mukherjee, P. S., Ferreira-Azevedo, L., Torres-Jardón, R., and D'Angiulli, A. Flavonol-rich dark cocoa significantly decreases plasma endothelin-1 and improves cognition in urban children. Frontiers in Pharmacology, 2013;4 AUG.
McClure, R. K., Styner, M., Maltbie, E., Lieberman, J. A., Gouttard, S., Gerig, G., Shi, X. Y., and Zhu, H. T. Localized differences in caudate and hippocampal shape are associated with schizophrenia but not antipsychotic type. Psychiatry Research - Neuroimaging, 2013;211(1):1-10.
2012
Zhu, HT., Li, R., and Kong, L. Multivariate varying coefficient model and its application in neuroimaging data. Annals of Statistics, in press, 2012.
Zhu, HT., Ibrahim, J. G., and Tang, N. S. Bayesian influence measures for joint models for longitudinal and survival data. Biometrics, in press, 2012.
Skup, M., Zhu, H. T., and Zhang H. P. Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates. Biometrics, in press, 2012.
Yuan, Y., Zhu, H. T., Styner, M., Gilmore, J. H., and Marron, J. S. Varying coefficient model for modeling diffusion tensors along white matter bundles. Annals of Applied Statistics, in press, 2012.
Khondker, Z. S., Zhu, H.T., Chu, H. T., Lin, W. L. and Ibrahim, J. G. The Bayesian Covariance Lasso, Statistics and its Interface, in press, 2012.
Guo, R.X., Zhu, H.T., Chow, S.M., Ibrahim, J.G. Bayesian Lasso for semiparametric structural equation models using spline. Biometrics, 68, 567–577, 2012.
Lin, J., Zhu, H.T., Knickmeyer, R., Styner, M., Gilmore, J. H. and Ibrahim, J.G. Projection Regression Models for Multivariate Imaging Phenotype. Genetic Epidemiology, 36, 631-641, 2012.
Zhu, H.T., Ibrahim, J.G., Cho, H.S., and Tang, N.S. Bayesian case-deletion measures for statistical models with missing Data, Journal of Computational and Graphical Statistics, 21, 253-271, 2012.
Shi, X.Y., Zhu, H.T., Ibrahim, J.G., Liang, F., Styner M. Intrinsic regression models for median representation of subcortical structures. Journal of American Statistical Association, 107, 12-23, 2012.
Yuan, Y., Zhu, H.T., Lin, W. L., and Marron, J. S. Local polynomial regression for symmetric positive definitive matrices. JRSS, Series B, 74, 697-719, 2012.
Zhu, HT., Ibrahim JG, Cho HS. Perturbation and Scaled Cook’s distance. Annals of Statistics, 40, 785-811, 2012.
Wang, J., Shen, H. P., and Zhu, H.T. Discussion of “Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility” by Jiang and Serban. Technometrics, 54, 129-133, 2012.
Li, YM, Gilmore, J. H., JP Wang, M. Styner, Weili Lin, and Zhu, HT. Two-stage spatial adaptive analysis of twin neuroimaging data. IEEE Transactions on Medical Imaging. 31, 1100-12, 2012.
Z Liu, M Farzinfar, L. M. Katz, HT Zhu, C. B. Goodlett, G. Gerig, M. Styner, and B. L. Marks. Automated Voxel-Wise Brain DTI Analysis of Fitness and Aging. The Open Medical Imaging Journal, 6, 80-88, 2012.
Hua, Z.W., Dunson, D., Gilmore, J.H., Styner, M., and Zhu, HT. Semiparametric Bayesian Local Functional Models for Diffusion Tensor Tract Statistics. NeuroImage, in press, 2012.
W. Gao, J. H Gilmore, D. Shen, J. K. Smith, Zhu HT, and Lin, W. The synchronization within and interaction between the default and dorsal attention networks in early infancy. Cerebra Cortex. In press, 2012.
Shi, Y., Short, S.J., Knickmeyer, R. C., Wang, J. P., Coe, C. L., Gilmore, J. H., Zhu, H.T., and Styner, M. A. Diffusion Tensor Imaging Based Characterization of Neurodevelopment in Primates. Cerebral Cortex, in press, 2012.
Gilmore, J., H., Feng Shi, Sandra Woolson, Rebecca C. Knickmeyer , Sarah J. Short , Weili Lin, Zhu, HT., Robert M. Hamer, Martin Styner, Dinggang Shen. Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years. Cerebral Cortex, In Press, 2012.
Styner, M., Shi, X., …, and Zhu, HT. Localized differences in caudate and hippocampal shape are associated with schizophrenia but not antipsychotic type. Psychiatric Research: Neuroimaging, 2012, in press.
R. Villarreal-Calderon, R. Torres-Jardón, J. Palacios-Moreno, N. Osnaya, B. Pérez-Guillé, R. R Maronpot, W. Reed, H. Zhu, L. C. Garcidue?as . Urban air pollution targets the dorsal vagal complex and dark chocolate offers neuroprotection. International Journal of Toxicology , in press, 2012.
L. Calderón-Garcidue?as, A. Serrano-Sierra, R.Torres-Jardón, H. Zhu, Y.Yuan, D. Smith, R. Delgado-Chávez, J. V. Cross, H. Medina-Cortina, M. Kavanaugh, T. R. Guilarte. The impact of environmental metals in young urbanites’ brains. Experimental and Toxicologic Pathology, in press, 2012.
L. Calderón-Garcidue?as, A. Mora-Tiscare?o, M. Styner, H. Zhu, R.Torres-Jardón, E. Carlos, E. Solorio-López, H. Medina-Cortina, M. Kavanaugh, A. D’Angiulli. White matter hyperintensities, systemic inflammation, brain growth and cognitive functions in children exposed to air pollution, Journal of Alzheimer's Disease, in press, 2012.
Villarreal-Calderon R, Dale G, Delgado-Chávez R, Torres-Jardón R, Zhu H, Herritt L, Gónzalez-Maciel A, Reynoso-Robles R, Yuan Y, Wang J, Solorio-López E, Medina-Cortina H, Calderón-Garcidue?as L. Intra-city Differences in Cardiac Expression of Inflammatory Genes and Inflammasomes in Young Urbanites: A Pilot Study. J Toxicol Pathol. 2012 Jun;25(2):163-73.
2011
Shi, XY, Ibrahim JG, Styner M., Yimei Li, and Zhu, HT., Two-stage adjusted exponential tilted empirical likelihood for neuroimaging data. Annals of Applied Statistics, 5, 1132-1158, 2011.
Zhu, HT., Ibrahim JG, Tang NS. Bayesian influence approach: a geometric approach. Biometrika, 98, 307-323, 2011.
Zhu, HT, Ibrahim JG., Cho HS, and Tang, N.S. Bayesian case-deletion measures for statistical models with missing Data, Journal of Computational and Graphical Statistics, in press, 2011.
Ibrahim, J. G., Zhu, H.T., Garcia, R. I., Guo, R.X. Fixed and random effects selection for generalized mixed effects models, Biometrics, 67, 495-503, 2011.
Ibrahim, J. G., Zhu, H.T., Tang, N. S. Bayesian local influence for survival models (with discussion). Lifetime Data Analysis, 17, 43-70, 2011.
Ibrahim, J. G., Zhu, H.T., Tang, N. S. Rejoinder to comments on Bayesian local influence for survival models. Lifetime Data Analysis, 17, 76-79, 2011.
Zhu, HT., Kong, L, Li, R., Styner, M., Gerig, G, Lin, W and Gilmore, J.H. FADTTS: Functional Analysis of Diffusion Tensor Tract Statistics, NeuroImage, 56, 1412-1425, 2011.
M.R. Scola, T.C. Nichols, H Zhu, M.C. Caughey, E.P. Merricks, R.A. Raymer, P. Margaritis, K.A. High, and C. M. Gallippi. ARFI Ultrasound Monitoring of Hemorrhage and Hemostasis In Vivo in Canine von Willebrand Disease and Hemophilia. Ultrasound in Medicine and Biology, in press, 2011.
Shi, Y. Short, S.J., Knickmeyer, R. C., Wang, J. P., Coe, C. L., Gilmore, H. J., Zhu, H.T., and Styner, M. A. Diffusion Tensor Imaging Based Characterization of Neurodevelopment in Primates. Cerebral Cortex, in press, 2011.
Wei Gao, John H Gilmore, Kelly S Giovanello, Jeffery Keith Smith, Dinggang Shen, Hongtu Zhu, and Weili Lin, Temporal and Spatial Evolution of Brain Network Topology during the First Two Years of Life, PLoS One,6(9): e25278. 2011.
John H. Gilmore, Feng Shi, Sandra Woolson, Rebecca C. Knickmeyer , Sarah J. Short , Weili Lin, Hongtu Zhu, Robert M. Hamer, Martin Styner, Dinggang Shen. Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years. Cerebral Cortex, In Press, 2011.
Chen, Y.S, An, H.Y., Zhu, HT, Shen, D.G., Gilmore, J.H. and Lin, W. L. Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal population with diffusion tensor imaging, NeuroImage, 58, 993-1005, 2011.
Skup, M., Zhu, HT., Wang, YP., Giovanello, K.S., Lin, J.A. Shen, D.G., Shi, F., Wang, J.P., Gao, W., Lin, W., Fan, Y., Zhang, H. and ADNI. Sex Differences in Grey Matter Atrophy Patterns Among AD and aMCI patients: Results from ADNI. NeuroImage, 56, 890-906, 2011.
P Paniagua, B., Cevidanes, L., Walker, D., Zhu, H., Guo, RX., Styner, M. Clinical application of SPHARM-PDM to qualify temporomandibular joint steoarthritis. Computerized Medical Imaging and Graphics, 35, 345-352, 2011.
Paniagua, B., Cevidanes, L., Zhu, H.T., Styner, M. Surgical Outcome Quanti?cation using SPHARM-PDM Toolbox in orthognathic surgery. International Journal of Computer Assisted Radiology and Surgery, 6, 617-626, 2011.
Chow, SM., Tang, NS, Yuan, Y., Song, X.Y., and Zhu HT. Semiparametric nonlinear dynamic latent variable models. British Journal of Mathematical and Statistical Psychology, 64, 69-10, 2011.
R. Villarreal-Calderon, R. Torres-Jardon, J. Palacios-Moreno, N. Osnaya, B. Perez-Guille, R. R Maronpot, W. Reed, H. Zhu, L. C. Garciduenas. Urban air pollution targets the dorsal vagal complex and dark chocolate offers neuroprotection. International Journal of Toxicology , in press, 2011.
O'Neill, S. S., Gordon, C.J., Guo, RX, Zhu, HT., McCudden, C.R. Multivariate analysis of clinical, demographic, and laboratory data for classification of patients with disorders of calcium homeostasis. American Journal of Clinical Pathology,135:100-107, 2011.
Hongyu An, Andria L. Ford, Katie Vo, Cihat Eldeniz, Rosana Ponisio, Hongtu Zhu,Yimei Li, Yasheng Chen, William J. Powers, Jin-Moo Lee, and Weili Lin. Early changes of tissue perfusion after tPA in hyperacute ischemic. Stroke,42:65-72, 2011.
L. Calderon-Garciduenas, M. Kavanaugh, M. Block, A. D'Angiulli, R Delgado-Chavez, R. Torres-Jardon, A. Gonzalez-Maciel, R. Reynoso-Robles, N. Osnaya, R. Villarreal-Calderon, R. Guo, Z. Hua, H. Zhu, G. Perry, Philippe Diaz. Neuroinflammation, Alzheimer's-associated pathology and down-regulation of the prion-related protein in air pollution exposed children and young adults. Journal of Alzheimer Disease, in press, 2011.
L. Calderon-Garciduenas, R Engle, A. Mora-Tiscareno, M. Styner, G. Gomez-Garza, H.T.Zhu, V.Jewells, R.Torres-Jardon, L.Romero, M.E.Monroy-Acosta, C. Bryant,L.O. Gonzalez-Gonzalez, and H. Medina-Cortina. Exposure to severe urban air pollution influences cognitive ?outcomes, brain volume and systemic inflammation in clinically healthy ?children. Brain and Cognition, in press, 2011.
Ying Yuan, Hongtu Zhu, Weili Lin, J. S. Marron (2011). Local Polynomial Regression for Symmetric Positive Definite Matrices. JRSSB. Supplement Document [pdf]
Yimei Li, Hongtu Zhu, Dinggang Shen, Weili Lin, John H. Gilmore and Joseph G. Ibrahim Multiscale adaptive regression models for neuroimaging data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2011. [pdf] Supplementary Document [pdf]
2010
Zhu, H. T., Styner, M., Tang, N. S., Liu, Z. X., Lin, W. L., and Gilmore, J. FRATS: Functional Regression Analysis of DTI Tract Statistics. IEEE Transactions on Medical Imaging, 29:1039 - 1049. 2010.
Garcia, R. I., Ibrahim, J. G., Zhu, H.T. Variable selection for proportional hazard models with missing covariate data,Biometrics, in press.
Clement-Spychala, M. E., Couper, D., Zhu, H.T.,
and Muller, K. Approximating the Geisser greenhouse sphericity estimator and its applications to diffusion
tensor imaging. Statistics and Its Interface, in press.
Chen, F, Zhu, HT , Song XY, and Lee SY. Local influence analysis for generalized linear mixed models.
Journal of
Computational and Graphical Statistics, in press.
Cevidanes LHS, Hajati A-K, Paniagua B, Lim, PF, Walker DG, Palconet
G, Nackley AG, Ludlow JB, Styner
MA, Zhu, HT , Phillips C. Quantification of Condylar
Resorption in TMJ Osteoarthritis.Oral Surg
Oral Med Oral Pathol Oral Radiol
Endod, in press, 2010.
Grauer, D., Cevidanes,
L., Styner, M., Heulfe, I.,
Harmon, E., Zhu, HT ., Proffit, W. R.Accuracy and landmark error calculation using CBCT
generated cephalograms, Angle Orthod,
80286-94, 2010.
Wu GR, Zhu HT, Lin W, Shen DG. Fast Tensor Image Morphing for Elastic Registration", IEEE Transactions on Medical Imaging, in press, 2010.
Raz, A., Schweizer, H.R., Zhu, H.T. , and Bowles, E. N. Hypnotic dreams as a lens into hypnotic dynamics. International Journal of Clinical and Experimental Hypnosis, 58, 69-81, 2010.
Miller, A., Bansal, Hao, X., Sanchez-Pena, J.P., Miller, L.J., Liu, J, Xu, D. R., Zhu, H.T. , Chakravarty, M. M., Durkin, K, Ivanov I., Plessen, K.J., Kellendonk, C.B., Peterson, B. S. Enlargement of thalamic nuclei in persons with Tourette Syndrome. Archives of General Psychiatry, 67, 2010. In press.
2009
Zhu HT, Ibrahim, JG., Shi, X.Y. Diagnostic measures for generalized linear models with missing covariates. Scandivian Journal of Statistics, 36, 686-712, 2009.
Zhu, HT , Cheng YS., Ibrahim JG, Li YM, Hall C, Lin WL. Intrinsic regression models for positive definitive matrices with applications in diffusion tensor images. Journal of the American Statistical Association, 104, 1203-1212, 2009.
Zhu HT, Li YM, Ibrahim, J. G., Shi, X.Y., Peterson BS. Rician regression models for magnetic resonance images.Journal of the American Statistical Association, 104, 623-637, 2009.
Peterson BS, Warner V, Bansal R, Zhu, HT., Hao X, Xu D, Liu J, Weissman MM. Right hemisphere cortical thinning in persons at risk for major depression. Proceedings of the National Academic Sciences, USA, 106, 6273-6278, 2009.
Gao, W., Zhu, HT., ? John Gilmore, Lin, WL. Emergence of the brain's default network: Evidence from two-week-old to four-year-old healthy pediatric subjects. Proceedings of the National Academic Sciences, USA, 106, 6790-6795, 2009.
Chen, Y.S.,An, H. ,
Zhu, HT ., Smith, K.,Hall
C,Robertson K., Robertson W, Gao, F.,
Bullit, E., Lin, W. L.,
Assessing white matter abnormalities in three clinical stages of HIV
with diffusion tensor imaging. Neuroimage,
47,1154-1162, 2009.
Behler, R. H., Nichols, T.C., Zhu, H.T., Merricks, E. P., Gallippi, C. M. ARFI Imaging for noninvasive material characterization of atherosclerosis part II: toward In vivo characterization. Ultrasound in Medicine and Biology,in press, 2009.
Lewis, M., Smith, A., Styner, M., Gu, H., Poole, R., Zhu, H., Li, Y., et al., Huang, X. (2009). Asymmetrical lateral ventricular enlargement in Parkinsons disease. European Journal of Neurology, in press.
Garcia, R. I., Ibrahim, J. G., Zhu, H.T. Variable selection for regression models with missing covariate data, Statistics Sinica, 18 pages, in press.
Gao W, Zhu, HT , Lin WL. DTI imaging parameters optimization using prior information of fiber orientation, NeuroImage, 44, 729-741, 2009.
Yap, P. T., Wu, G.R., Zhu, HT .,Lin,
W.L., Shen, DG.. TIMER: Tensor Image Morphing for Elastic Registration.
Neuroimage,
47, 549-563, 2009.
Behler, R. H., Scola, MR., Nichols, TC., Caughey, MC., Fisher, M.W., Zhu, H.T. , Gallippi, CM.ARFI Ultrasound for in vivo hemostasis assessment postcardic catheterization, Part II: pilot clinical results. Ultrasonic Imaging, 31, 159-171, 2009.
Behler, R. H., Nichols, T.C., Zhu, H.T. , Merricks, E. P., Gallippi, C. M. ARFI Imaging for noninvasive material characterization of atherosclerosis part II: toward In vivo characterization. Ultrasound in Medicine and Biology,35, 278-295, 2009.
Shi, X Y., Zhu, HT , Ibrahim, JG. Local influence for generalized linear models with missing covariates. Biometrics, in press, 12 pages, 2009.
Zhu HT, Zhou HB, Chen JH, Li YM, Styner M, and Liberman J. Adjusted exponential tilted likelihoods with application to brain morphomotry, Biometrics, 65, 919-927, 2009.
Cho HS, Ibrahim JG, Sinha and Zhu, HT . Bayesian Case Influence Diagnostics for Survival Models, Biometrics, 65, 116-124, 2009.
Chen, F, Zhu, HT , and Lee SY.Perturbation selection and local influence analysis for nonlinear structural equation model.Psychometrika, 493-516, 2009.
Iliyan Ivanov, Ravi Bansal, Xuejun Hao, Zhu, HT , Bradley S. Peterson. Morphological abnormalities of the thalamus in youth with ADHD. American Journal of Psychiatry, 2009.
2008
Ibrahim, JG., Zhu, HT , Tang NS. Model selection criterion for missing data problems via the EM algorithm. Journal of the American Statistical Association Theory and Method, 103, 1648-1658, 2008.
Zhu, HT , He FL, Zhou LJ. Auto-multicategorical regression model for the distribution of vegetation. Statistics and Its Interface, 1, 63-73, 2008.
Ying Y, Zhu, HT , Ibrahim JG, Peterson B, and Lin WL.A Note on the Validity of Statistical Bootstrapping forEstimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. IEEE Trans Med Imaging, 27, 1506-1514, 2008.
Posner J,. ? Zhu, HT , Peterson, BS. An fMRI study of the affective circumplex and the neurophysiological basis of emotion. Human Brain Mapping, 30, 883-895, 2008.
Zhu, H.T. , Li, Y.M., Tang, N.S.,
Zhu, HT ,
Colibazzi, T., Zhu, HT , and Peterson B. Latent volumetric structure of the human brain: exploratory factor analysis and structural equation modeling of gray matter volumes in healthy children and adults. Human Brain Mapping, 29, 1302-1312, 2008.
Mauldin, F. W., Zhu, HT , Behler, RH., and Gallippi CM. Robust Principal Component Analysis and Clustering Methods for Automated Classification of Tissue Response to ARFI Excitation. Ultrasound in Medicine and Biology, 34, 309-325, 2008.
2007
Peterson B, Choi HA, Hao XJ, Amat J, Zhu, HT , Whiteman R, Liu J, Xu DR, and Bansal R. Morphology of the amygdale and hippocampus in children and adults with tourette syndrome. Archives of General Psychiatry, 64: 1281-1291, 2007
Ibrahim JG, and Zhu, HT . Comment: Implementation of estimating-functions based inference procedures with MCMC sampler. Journal of the American Statistical Association, 102, 893-896, 2007.
Zhu, HT , Zhang HP, Ibrahim, JG, and Peterson B. Statistical analysis of diffusion tensors in diffusion-weighted magnetic resonance image data (with discussion). Journal of the American Statistical Association, 102, 1081-1110, 2007. [pdf]
Zhu, HT , Ibrahim, JG, Tang, NS., Hao, XJ., Bansal, R., and Peterson B. A statistical analysis of brain morphology using wild boostrapping. IEEE Trans Med Imaging, 26, 954-966, 2007.
Rachel M., Zhu, HT , Wang ZS, Skudiarski P., and Peterson, BG. A developmental fMRI study of self-regulatory control in tourette syndrome. American Journal of Psychiatry, 164:955-966, 2007.
Zhu, HT , Ibrahim, JG, Lee SY, and Zhang HP. Appropriate perturbation and influence measures in local influence. Annals of Statistics, in press.
Sowell ER, Peterson BG, Kan E, Woods RP, Yoshii J, Bansal R, Xu DR, Zhu, HT , Thompson PM, and Toga AW. Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. Cerebral Cortex, 17: 1550 1560, 2007.
Amir, R., Schweizer, H.R., Zhu, H.T. Hypnotic dreams as a lens into hypnotic dynamics. International Journal of Clinical and Experimental Hypnosis, 16:331-338, 2007.
Zhu, H.T. , Gu, M.G., Peterson, B. Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm. Statistics and Computing, 17:163-177, 2007.
2006
Amat, J., Bronen, R., Zhu, H.T. , Peterson, B. Increased number of
subcortical hyperintensities on
Wiedenmayer, C.P., Bansal, R., Anderson, G.M., Zhu, H.T. , Amat, J., Whiteman, R, and Peterson, B.G. Cortisol levels and hippocampus volumes in healthy preadolescent children. Biological Psychiatry, 60, 856-861, 2006.
Zhu, H.T. , Xu, D.R., Amir, R., Hao, X., Zhang, H. P., ..., Peterson, B.S. A statistical framework for the classification of tensor morphologies in diffusion tensor images. Magnetic Resonance Imaging, 24, 569-582, 2006.
Kerstin, J. P., Bansal, R., Zhu, H.T. , ..., Peterson, B. S. Hippocampus and Amydala morphology in attention-deficit/hyperactivity disorder. Archives of General Psychiatry, 63, 795-807, 2006.
Rachel, M., Zhu, H.T. , Quackenbush, G., Royal, J., Skudlarski, P., Peterson, B. A developmental fMRI study of self-regulatory control. Human Brain Mapping, 27, 848-863, 2006.
Gorman D, Zhu, HT , Anderson G, Davies M, Peterson B. Peripheral iron indices in Tourette's syndrome and their association with basal ganglia and regional cortical volumes. American Journal of Psychiatry, 163, 1264-72, 2006.
Zhu, H.T. , Zhang, H.P. Generalized score test of homogeneity for mixed effects models. Annals of Statistics, 34, 1545-1569, 2006
Zhu, H.T. , Zhang, H.P. Asymptotics for estimation and testing under loss of identifiability. Journal of Multivariate Analysis 97, 19-45, 2006
2005
Bloch, MH, Leckman, JF, Zhu, HT, Peterson, BS. Caudate volumes in childhood predict the severity of tic and OCD symptoms in adulthood. Neurology. 65, 1253-125, 2005
Marsh, R., Alexander, G.M., Packard, M.G., Zhu, HT, Peterson, B. Perceptual-motor skill learning in Gilles de la Tourette syndrome evidence for multiple procedural learning and memory systems. Neuropsychologia. 43, 1456-1465, 2005.
2004
Marsh, Packard, Alexander, Winegard, Zhu,H.T., Quackenbush, Stein, Peterson. B. Impaired habit learning in children and adults with tourette syndrome. Archives of General Psychiatry. 84(4):623-630, 2004.
Zhu, H.T., Zhang, H.P. A diagnostic procedure based on local influence. Biometrika. 91, 579-589, 2004.
Zhu, H.T., Zhang, H.P.Hypothesis testing in a class of mixture regression models. Journal of the Royal Statistical Society, Series B. 66, 3-16, 2004.
2003
He, F.L., Zhou, J.L., Zhu, H.T. Autologistic regression model for the distribution of vegetation. Journal of Agricultural, Biological and Environmental Statistics. 8, 205-222, 2003.
Zhang, H. P, Fui, R., Zhu, H.T. A latent variable model of segregation analysis for ordinal outcome. Journal of American Statistical Association. 98, 1023-1034, 2003
Zhang, H.P., Yu, C.Y, Zhu, H.T., Shi, J. Identification of linear directions in multivariate adaptive spline models. Journal of American Statistical Association. 98, 369-376, 2003.
Zhu, H.T., Lee, S. Y. Local influence for generalized linear mixed models. Canadian Journal of Statistics. 31, 293-309, 2003.
Zhou, J.L., Zhu, H.T. Robust estimation and design procedures for random effect model. Canadian Journal of Statistics . 31, 99-110, 2003.
Zhu, H.T., Yu, C.Y., Zhang, H.P. Tree-based Disease Classification for the Protein Data. Proteomics. 3, 1673-1677, 2003.
2002
Lee, S.Y., Zhu, H.T. Maximum likelihood estimation of nonlinear structural equation models. Psychomatrika. 67, 189-210, 2002.
Zhu, H.T., Lee, S.Y. Maximizing generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte Carlo method. Statistics and Computing. 12, 175-183, 2002.
2001
Zhu, H.T., Lee, S.Y., Wei, B. C., Zhou, J.L. Case-deletion measures for models with incomplete data. Biometrika. 88, 727-737, 2001.
Gu, Ming-gao., Zhu, H.T. Maximum likelihood estimation for spatial models by Markov chain Monte Carlo stochastic approximation. Journal of the Royal Statistical Society, Series B. 63, 339-355, 2001.
Zhu, H.T., Lee, S.Y. Local influence for models with incomplete data. Journal of the Royal Statistical Society, Series B. 63, 111-126, 2001.
Song, X.Y, Lee, S.Y., Zhu, H. T. Model selection in structural equation models with continuous and polytomous data. Structural Equation Modeling. 8, 378-396, 2001.
Zhu, H.T., Lee, S.Y. Bayesian analysis of finite mixtures in the LISREL model. Psychometrika. 66, 133-152, 2001.
2000
Lee, S.Y., Zhu, H.T. Statistical Analysis of nonlinear structural equation models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology. 53, 209-232, 2000.
Zhu, H.T. Relationship between two eigenmatrices of a (real) symmetric matrix-Solution. Econometric Theory. 16, 793-794, 2000.
1999
Zhu, H.T., Lee, S.Y. Statistical analysis of nonlinear factor analysis models. British Journal of Mathematical and Statistical Psychology. 1999.
1998
Cheung, S.H., Zhu, H.T. Simultaneous one-sided pairwise comparisons in a two-way design. Biometrical Journal. 40, 613-625, 1999.
1997
Wei, B.C., Zhu, H.T. Some second order asymptotic in exponential family nonlinear regression models (A geometric approach). Australian Journal of Statistics, 39, 129-148, 1997.
Zhu, H.T., Wei, B.C. Some notes on preferred point a-geometry and a-divergence function. Statistics and Probability Letters, 33, 427-437, 1997.
Zhu, H.T., Wei, B.C. Preferred point a-manifold and Amari"s a connections. Statistics and Probability Letters, 36, 219-229, 1997.
Peer-reviewed Full Papers (>8pages) in Conference Proceedings in Medical Imaging
MICCAI and IPMI are the most preeminent medical imaging conferences
Shan Yang, Vladimir Jojic, Jun Lian, Ronald Chen, Hongtu Zhu, and Ming Lin. Classification of Prostate Cancer Grades and T-Stages based on Tissue Elasticity Using Medical Image Analysis. MICCAI 2016.
Y.Zhao, F. Zou, Z. Lu, R.C. Knickmeyer, and H. Zhu. Bayesian Feature Selection for Ultra-high Dimensional Imaging Genetics Data. MICCAI Workshop on Imaging Genetics, 2015.
Luo, X. C., Zhu, L. X., Kong, L. and Zhu, H.T. Functional Nonlinear Mixed Effects Models For Longitudinal Image Data. Information Processing in Medical Imaging (IPMI) 2015. (acceptance rate <28%) Shen, D., Zhu, H.T. MWPCR: Multiscale Weighted Principal Component Regression for High-dimensional Prediction. Information Processing in Medical Imaging (IPMI) 2015. (acceptance rate <28%)Yuan, Y., Gilmore, J. H., Geng, X. J., Styner, M., Chen, K. H., Wang, J. L., and Zhu, H. T. A longitudinal functional analysis framework for analysis of white matter tract statistics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013;7917 LNCS:220-231.
Huang, C., Shan, L., Charles, C., Niethammer, M., and Zhu, H. T. Diseased region detection of longitudinal knee MRI data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013;7917 LNCS:632-643.
Verde, A. R., Berger, J. B., Gupta, A., Farzinfar, M., Kaiser, A., Chanon, V. W., Boettiger, C., Johnson, H., Matsui, J., Sharma, A., Goodlett, C., Shi, Y., Zhu, H. T., Gerig, G., Gouttard, S., Vachet, C., amd Styner, M. UNC-Utah NA-MIC DTI framework: Atlas based fiber tract analysis with application to a study of nicotine smoking addiction. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2013;8669.
Wang, Y. P., Li, G., Ahn, M., Nie, J. X., Zhu, H. T., and Guo, L. Mapping longitudinal cerebral cortex development using diffusion tensor imaging. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2013;8669.
J. Wang, H. Zhu, J.Q. Fan, Giovanello, K., and Lin, W. L. Multiscale Adaptive Smoothing Model for the Hemodynamic Response Function in fMRI, MICCAI, LNCS 6892, 269-276, 2011. (acceptance rate <30%)
Li, YM, John Gilmore, JP Wang, M. Styner, Weili Lin, Zhu, HT. Two-stage spatial adaptive analysis of twin neuroimaging data. Multimodal Brain Image Analysis. Lecture Notes in Computer Science, 2011, Volume 7012/2011, 102-109.
Zhu, H.T., Styner, M., Li, Y.M., Kong, L. L., Shi, W., Lin, W., Coe, C., and Gilmore. Multivariate Varying Coefficient Models for DTI Tract Statistics. MICCAI 2010. (acceptance rate <32%)
Gao, W., Zhu, H.T., Lin, W. Multivariate network-level approach to detect interactions between large-scale functional systems. MICCAI 2010. (acceptance rate <32%)
Chen, Y.S., Ji, S., Wu, X., An, H.Y. Zhu, H.T., Shen, D. G., Lin, W. Simulation of brain mass effect with an arbitrary lagrangian and eulerian FEM. MICCAI 2010. (acceptance rate <32%)
Zhu, H.T., Li, Y. M., Ibrahim, J. G., Lin, W., Shen, D. MARM: multiscale adapative regression for neuroimaging data. Information Processing in Medical Imaging (IPMI) 2009, 314-325. (acceptance rate <32%)
Shi, X., Styner, M., Liberman J., Ibrahim, J. G., Lin, W., and Zhu, H.T. Intrinsic regression models for manifold-value data. International Conference on Medical Imaging Computing and Computer Assisted Intervention (MICCAI) 2009. (acceptance rate <32%)
Yap PT, Wu GR, Zhu HT, Lin W, Shen DG. Fast Tensor Image Morphing for Elastic Registration", MICCAI 2009. (acceptance rate <32%)
Chen, Y. S., Zhu, H.T., Shen, D.G., An, H.Y., Gilmore, J., Lin, W.L. Mapping growth patterns and genetic influences on early brain development in twins. MICCAI 2009. (acceptance rate <32%)
Tang, S. Y, Fan, Y., Zhu, HT, Shen, D. Regularization of Diffusion Tensor Field Using Coupled Robust Anisotropic Diffusion Filters. Mathematical Methods in Biomedical Image Analysis (MMBIA) 2009.
Yap, P. T., Wu, G.R., Zhu, HT., Lin, W.L., Shen, DG.. TIMER: Tensor Image Morphing for Elastic Registration. MMBIA 2009.
Liu Z, Zhu HT, Marks BL, Katz LM, Goodlett CB., Gerig G, Styner M. Voxel-wise group analysis of DTI. ISBI 2009.
Chen, Y.S., Shen, D. G., Zhu, H. T., An, H. Y., Gilmore, J. H., Lin, W. Hierarchical unbiased group-wise registration for atlas construction and population comparison. SPIE 2009 on Medical Imaging.
Li, Y.M., Zhu, H.T., Chen, Y.S., An, H.Y., Gilmore, J. H., Lin, W., Shen, D. Longitudinal analysis of neuroimaging data. SPIE 2009 on Medical Imaging.
Li, Y.M., Zhu, H.T., Chen, Y.S., Ibrahim, J. G., An, H.Y., Lin, W., Shen, D. Regression analysis of diffusion tensor. SPIE 2009 on Medical Imaging.