• 5939 Citations
  • 41 h-Index
1979 …2020
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Research Output 1995 2018

2018

A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays

Wang, C. W., Lee, Y. C., Calista, E., Zhou, F., Zhu, H., Suzuki, R., Komura, D., Ishikawa, S. & Cheng, S. P. May 15 2018 In : Bioinformatics. 34, 10, p. 1767-1773 7 p.

Research output: Contribution to journalArticle

2 Citations

Adolescent alcohol exposure decreases frontostriatal resting-state functional connectivity in adulthood

Broadwater, M. A., Lee, S. H., Yu, Y., Zhu, H., Crews, F. T., Robinson, D. L. & Shih, Y. Y. I. Mar 1 2018 In : Addiction Biology. 23, 2, p. 810-823 14 p.

Research output: Contribution to journalArticle

Prefrontal Cortex
Ethanol
Alcohols
Nucleus Accumbens
Putamen

A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation

Li, T., Zhou, F., Zhu, Z., Shu, H. & Zhu, H. May 23 2018 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April, p. 692-695 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Brain
Fusion reactions
Tissue
Neural networks

A web-based system for neural network based classification in temporomandibular joint osteoarthritis

de Dumast, P., Mirabel, C., Cevidanes, L., Ruellas, A., Yatabe, M., Ioshida, M., Ribera, N. T., Michoud, L., Gomes, L., Huang, C., Zhu, H., Muniz, L., Shoukri, B., Paniagua, B., Styner, M., Pieper, S., Budin, F., Vimort, J. B., Pascal, L. & Prieto, J. C. Jul 1 2018 In : Computerized Medical Imaging and Graphics. 67, p. 45-54 10 p.

Research output: Contribution to journalArticle

Temporomandibular Joint
Osteoarthritis
Information Storage and Retrieval
Neural networks
Classifiers

Efficient Robust Estimation for Linear Models with Missing Response at Random

Tang, M. L., Tang, N. S., Zhao, P. Y. & Zhu, H. Jun 1 2018 In : Scandinavian Journal of Statistics. 45, 2, p. 366-381 16 p.

Research output: Contribution to journalArticle

Efficient Estimation
Robust Estimation
Linear Model
Regression
Linear Regression Model

FLCRM: Functional linear cox regression model

Kong, D., Ibrahim, J. G., Lee, E. & Zhu, H. Mar 1 2018 In : Biometrics. 74, 1, p. 109-117 9 p.

Research output: Contribution to journalArticle

biometry
principal component analysis
modeling
simulation
marker

Mapping population-based structural connectomes

Zhang, Z., Descoteaux, M., Zhang, J., Girard, G., Chamberland, M., Dunson, D., Srivastava, A. & Zhu, H. May 15 2018 In : NeuroImage. 172, p. 130-145 16 p.

Research output: Contribution to journalArticle

Connectome
Population
Brain
Post and Core Technique
Dilatation

MILFM: Multiple index latent factor model based on high-dimensional features

Yang, H., Zhu, H. & Ibrahim, J. G. Jan 1 2018 (Accepted/In press) In : Biometrics.

Research output: Contribution to journalArticle

Factor Models
High-dimensional
Model-based
Modeling
Prediction Model

Quantile regression for functional partially linear model in ultra-high dimensions

Ma, H., Li, T., Zhu, H. & Zhu, Z. Jan 1 2018 (Accepted/In press) In : Computational Statistics and Data Analysis.

Research output: Contribution to journalArticle

SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data

for the Alzheimer's Disease Neuroimaging Initiative Jul 15 2018 In : NeuroImage. 175, p. 230-245 16 p.

Research output: Contribution to journalArticle

Neuroimaging
Biomarkers
Neurodegenerative Diseases
Neoplasms
Direction compound

Statistical disease mapping for heterogeneous neuroimaging studies

Liu, R., Huang, C., Li, T., Yang, L. & Zhu, H. May 23 2018 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April, p. 1415-1418 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neuroimaging
Genetic Heterogeneity
Autistic Disorder
Statistical methods
Stroke
1 Citations

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development

Howell, B. R., Styner, M. A., Gao, W., Yap, P. T., Wang, L., Baluyot, K., Yacoub, E., Chen, G., Potts, T., Salzwedel, A., Li, G., Gilmore, J. H., Piven, J., Smith, J. K., Shen, D., Ugurbil, K., Zhu, H., Lin, W. & Elison, J. T. Jan 1 2018 (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticle

Connectome
Brain
Neuroimaging
Research Personnel
Magnetic Resonance Imaging

TPCNN: Two-phase patch-based convolutional neural network for automatic brain tumor segmentation and survival prediction

Zhou, F., Li, T., Li, H. & Zhu, H. Jan 1 2018 Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 3rd International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Revised Selected Papers. Springer Verlag, p. 274-286 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10670 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain Tumor
Medical Imaging
Medical imaging
Convolution
Patch
2017
4 Citations

3D tract-specific local and global analysis of white matter integrity in Alzheimer's disease

Alzheimer's Disease Neuroimaging Initiative Mar 1 2017 In : Human Brain Mapping. 38, 3, p. 1191-1207 17 p.

Research output: Contribution to journalArticle

Alzheimer Disease
White Matter
Workflow
Atlases
Nervous System Diseases
1 Citations

A Functional Varying-Coefficient Single-Index Model for Functional Response Data

for the Alzheimer’s Disease Neuroimaging Initiative Jul 3 2017 In : Journal of the American Statistical Association. 112, 519, p. 1169-1181 13 p.

Research output: Contribution to journalArticle

Single-index Model
Functional Data Analysis
Varying Coefficient Model
Functional Response
Varying Coefficients

Bayesian hidden Markov models for delineating the pathology of Alzheimer’s disease

Kang, K., Cai, J., Song, X. & Zhu, H. Jan 1 2017 (Accepted/In press) In : Statistical methods in medical research.

Research output: Contribution to journalArticle

MCMC Methods
Alzheimer's Disease
Semiparametric Model
Markov Model
Alzheimer Disease
1 Citations

Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies

Lu, Z. H., Khondker, Z., Ibrahim, J. G., Wang, Y. & Zhu, H. Apr 1 2017 In : NeuroImage. 149, p. 305-322 18 p.

Research output: Contribution to journalArticle

Genetic Models
Longitudinal Studies
Neuroimaging
Single Nucleotide Polymorphism
Alzheimer Disease

Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness

Tang, N., Chow, S. M., Ibrahim, J. G. & Zhu, H. Dec 1 2017 In : Psychometrika. 82, 4, p. 875-903 29 p.

Research output: Contribution to journalArticle

Nonignorable Missing Data
Dirichlet Process Prior
Nonlinear Dynamics
Bayes Theorem
Factor analysis
5 Citations

Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y

Seung, J. L., Steiner, R. J., Yang, Y., Sarah, J. S., Michael, C. N., Martin, A. S., Hongtu, Z. & John, H. G. Jan 3 2017 In : Proceedings of the National Academy of Sciences of the United States of America. 114, 1, p. 148-153 6 p.

Research output: Contribution to journalArticle

Cognition
Parturition
Diffusion Tensor Imaging
Aptitude
Age Factors

Conditional local distance correlation for manifold-valued data

Pan, W., Wang, X., Wen, C., Styner, M. & Zhu, H. Jan 1 2017 Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, p. 41-52 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Medical imaging
Statistical method
Computer vision
Image Processing
Statistical methods
76 Citations

Early brain development in infants at high risk for autism spectrum disorder

Hazlett, H. C. , Gu, H. , Munsell, B. C. , Kim, S. H. , Styner, M. , Wolff, J. J. , Elison, J. T. , Swanson, M. R. , Zhu, H. , Botteron, K. N. , Collins, D. L. , Constantino, J. N. , Dager, S. R. , Estes, A. M. , Evans, A. C. , Fonov, V. S. , Gerig, G. , Kostopoulos, P. , McKinstry, R. C. , Pandey, J. & 6 others Paterson, S., Pruett, J. R., Schultz, R. T., Shaw, D. W., Zwaigenbaum, L. & Piven, J. Feb 15 2017 In : Nature. 542, 7641, p. 348-351 4 p.

Research output: Contribution to journalArticle

Extrinsic Local Regression on Manifold-Valued Data

Lin, L., St. Thomas, B., Zhu, H. & Dunson, D. B. Jul 3 2017 In : Journal of the American Statistical Association. 112, 519, p. 1261-1273 13 p.

Research output: Contribution to journalArticle

Local Regression
Differentiable Manifolds
Convergence Rate
Regression
Regression Estimate
2 Citations

FGWAS: Functional genome wide association analysis

The Alzheimer's Disease Neuroimaging Initiative Oct 1 2017 In : NeuroImage. 159, p. 107-121 15 p.

Research output: Contribution to journalArticle

4 Citations

Generalized Scalar-on-Image Regression Models via Total Variation

for the Alzheimer’s Disease Neuroimaging Initiative Jul 3 2017 In : Journal of the American Statistical Association. 112, 519, p. 1156-1168 13 p.

Research output: Contribution to journalArticle

Image Model
Total Variation
Regression Model
Scalar
Prediction
3 Citations

Genome-wide association analysis identifies common variants influencing infant brain volumes

ENIGMA Consortium Aug 1 2017 In : Translational psychiatry. 7, 8, e1188

Research output: Contribution to journalArticle

1 Citations

Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study

Zhu, W., Yuan, Y., Zhang, J., Zhou, F., Knickmeyer, R. C. & Zhu, H. Feb 1 2017 In : NeuroImage. 146, p. 983-1002 20 p.

Research output: Contribution to journalArticle

Genome-Wide Association Study
Neuroimaging
Alzheimer Disease
Phenotype
Molecular Epidemiology
1 Citations

Genome-wide mediation analysis of psychiatric and cognitive traits through imaging phenotypes

Bi, X., Yang, L., Li, T., Wang, B., Zhu, H. & Zhang, H. Aug 1 2017 In : Human Brain Mapping. 38, 8, p. 4088-4097 10 p.

Research output: Contribution to journalArticle

1 Citations

Groupwise envelope models for imaging genetic analysis

Park, Y., Su, Z. & Zhu, H. Jan 1 2017 In : Biometrics. 73, 4, p. 1243-1253 11 p.

Research output: Contribution to journalArticle

Genetic Models
Neuroimaging
Envelope
genetic techniques and protocols
Imaging

HFPRM: Hierarchical functional principal regression model for diffusion tensor image bundle statistics

Zhang, J., Huang, C., Ibrahim, J. G., Jha, S., Knickmeyer, R. C., Gilmore, J. H., Styner, M. & Zhu, H. Jan 1 2017 Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, p. 478-489 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Functional Principal Component Analysis
Varying Coefficient Model
Magnetic Resonance Imaging
Medical Imaging
Medical imaging
3 Citations

Hidden Markov latent variable models with multivariate longitudinal data

Song, X., Xia, Y. & Zhu, H. Mar 1 2017 In : Biometrics. 73, 1, p. 313-323 11 p.

Research output: Contribution to journalArticle

cocaine
Latent Variable Models
Multivariate Data
Longitudinal Data
Cocaine

How chronic self-regulatory stress, poor anger regulation, and momentary affect undermine treatment for alcohol use disorder: Integrating social action theory with the dynamic model of relapse

Maisto, S. A., Xie, F. C., Witkiewitz, K., Ewart, C. K., Connors, G. J., Zhu, H., Elder, G., Ditmar, M. & Chow, S. M. Mar 1 2017 In : Journal of Social and Clinical Psychology. 36, 3, p. 238-263 26 p.

Research output: Contribution to journalArticle

Anger
Drinking
Alcohols
Recurrence
Outpatients

Influence analysis for skew-normal semiparametric joint models of multivariate longitudinal and multivariate survival data

Tang, A. M., Tang, N. S. & Zhu, H. Apr 30 2017 In : Statistics in medicine. 36, 9, p. 1476-1490 15 p.

Research output: Contribution to journalArticle

Multivariate Survival Data
Influence Analysis
Joint Model
Semiparametric Model
Skew

LCN: A random graph mixture model for community detection in functional brain networks

Bryant, C., Zhu, H., Ahn, M. & Ibrahim, J. Jan 1 2017 In : Statistics and its Interface. 10, 3, p. 369-378 10 p.

Research output: Contribution to journalArticle

Latent Class
Community Detection
Community Structure
Graph Model
Mixture Model

MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction

Zhu, H., Shen, D., Peng, X. & Liu, L. Y. Jul 3 2017 In : Journal of the American Statistical Association. 112, 519, p. 1009-1021 13 p.

Research output: Contribution to journalArticle

Principal Component Regression
Principal Component Analysis
High-dimensional
Regression
Prediction
2 Citations

Performance of acoustic radiation force impulse ultrasound imaging for carotid plaque characterization with histologic validation

Czernuszewicz, T. J., Homeister, J. W., Caughey, M. C., Wang, Y., Zhu, H., Huang, B. Y., Lee, E. R., Zamora, C. A., Farber, M. A., Fulton, J. J., Ford, P. F., Marston, W. A., Vallabhaneni, R., Nichols, T. C. & Gallippi, C. M. Dec 1 2017 In : Journal of Vascular Surgery. 66, 6, p. 1749-1757.e3

Research output: Contribution to journalArticle

Predictive Value of Tests
Vascular Calcification
Elasticity Imaging Techniques
Carotid Artery Diseases
Observer Variation
3 Citations

Regression models on Riemannian symmetric spaces

Cornea, E., Zhu, H., Kim, P., Ibrahim, J. G. & the Alzheimer's Disease Neuroimaging Initiative Mar 1 2017 In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 79, 2, p. 463-482 20 p.

Research output: Contribution to journalArticle

Riemannian Symmetric Space
Regression Model
Test Statistic
Euclidean space
Covariates
10 Citations

Structural and Maturational Covariance in Early Childhood Brain Development

Geng, X., Li, G., Lu, Z., Gao, W., Wang, L., Shen, D., Zhu, H. & Gilmore, J. H. Mar 1 2017 In : Cerebral cortex (New York, N.Y. : 1991). 27, 3, p. 1795-1807 13 p.

Research output: Contribution to journalArticle

Neural Pathways
Organ Size
Postal Service
Preschool Children
Child Development
2016
8 Citations
Serotonin Uptake Inhibitors
Cohort Studies
Depression
Mothers
Brain
11 Citations

Cortical thickness and surface area in neonates at high risk for schizophrenia

Li, G., Wang, L., Shi, F., Lyall, A. E., Ahn, M., Peng, Z., Zhu, H., Lin, W., Gilmore, J. H. & Shen, D. Jan 1 2016 In : Brain Structure and Function. 221, 1, p. 447-461 15 p.

Research output: Contribution to journalArticle

Occipital Lobe
Schizophrenia
Gyrus Cinguli
Auditory Cortex
Temporal Lobe
26 Citations

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

Allen, G. I. , Amoroso, N. , Anghel, C. , Balagurusamy, V. , Bare, C. J. , Beaton, D. , Bellotti, R. , Bennett, D. A. , Boehme, K. L. , Boutros, P. C. , Caberlotto, L. , Caloian, C. , Campbell, F. , Chaibub Neto, E. , Chang, Y. C. , Chen, B. , Chen, C. Y. , Chien, T. Y. , Clark, T. , Das, S. & 81 others Davatzikos, C., Deng, J., Dillenberger, D., Dobson, R. J. B., Dong, Q., Doshi, J., Duma, D., Errico, R., Erus, G., Everett, E., Fardo, D. W., Friend, S. H., Fröhlich, H., Gan, J., St George-Hyslop, P., Ghosh, S. S., Glaab, E., Green, R. C., Guan, Y., Hong, M. Y., Huang, C., Hwang, J., Ibrahim, J., Inglese, P., Iyappan, A., Jiang, Q., Katsumata, Y., Kauwe, J. S. K., Klein, A., Kong, D., Krause, R., Lalonde, E., Lauria, M., Lee, E., Lin, X., Liu, Z., Livingstone, J., Logsdon, B. A., Lovestone, S., Ma, T. W., Malhotra, A., Mangravite, L. M., Maxwell, T. J., Merrill, E., Nagorski, J., Namasivayam, A., Narayan, M., Naz, M., Newhouse, S. J., Norman, T. C., Nurtdinov, R. N., Oyang, Y. J., Pawitan, Y., Peng, S., Peters, M. A., Piccolo, S. R., Praveen, P., Priami, C., Sabelnykova, V. Y., Senger, P., Shen, X., Simmons, A., Sotiras, A., Stolovitzky, G., Tangaro, S., Tateo, A., Tung, Y. A., Tustison, N. J., Varol, E., Vradenburg, G., Weiner, M. W., Xiao, G., Xie, L., Xie, Y., Xu, J., Yang, H., Zhan, X., Zhou, Y., Zhu, F., Zhu, H. & Zhu, S. Jun 1 2016 In : Alzheimer's and Dementia. 12, 6, p. 645-653 9 p.

Research output: Contribution to journalArticle

Alzheimer Disease
Benchmarking
Meta-Analysis
Early Diagnosis
Biomarkers
6 Citations

Dystrophin-deficient dogs with reduced myostatin have unequal muscle growth and greater joint contractures

Kornegay, J. N., Bogan, D. J., Bogan, J. R., Dow, J. L., Wang, J., Fan, Z., Liu, N., Warsing, L. C., Grange, R. W., Ahn, M., Balog-Alvarez, C. J., Cotten, S. W., Willis, M. S., Brinkmeyer-Langford, C., Zhu, H., Palandra, J., Morris, C. A., Styner, M. A. & Wagner, K. R. Apr 4 2016 In : Skeletal Muscle. 6, 1, 14

Research output: Contribution to journalArticle

Myostatin
Dystrophin
Contracture
Joints
Dogs
4 Citations
Benchmarking
Social Sciences
Stochastic Approximation
Expectation-maximization Algorithm
Nonlinear Ordinary Differential Equations
2 Citations

Reinforced Angle-Based Multicategory Support Vector Machines

Zhang, C., Liu, Y., Wang, J. & Zhu, H. Jul 2 2016 In : Journal of Computational and Graphical Statistics. 25, 3, p. 806-825 20 p.

Research output: Contribution to journalArticle

Support Vector Machine
Angle
Coordinate Descent
Descent Algorithm
Performance Prediction
1 Citations

Reperfusion beyond 6 hours reduces infarct probability in moderately ischemic brain tissue

An, H., Ford, A. L., Eldeniz, C., Chen, Y., Vo, K. D., Zhu, H., Powers, W. J., Lin, W. & Lee, J. M. Jan 1 2016 In : Stroke. 47, 1, p. 99-105 7 p.

Research output: Contribution to journalArticle

Reperfusion
Perfusion
Brain
Stroke
Ischemia

Single-index varying coefficient model for functional responses

Luo, X., Zhu, L. & Zhu, H. Dec 1 2016 In : Biometrics. 72, 4, p. 1275-1284 10 p.

Research output: Contribution to journalArticle

Single-index Model
Varying Coefficient Model
Functional Response
functional response models
Varying Coefficients

SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging

Rao, S., Ibrahim, J. G., Cheng, J., Yap, P. T. & Zhu, H. Oct 1 2016 In : Journal of Computational and Graphical Statistics. 25, 4, p. 1195-1211 17 p.

Research output: Contribution to journalArticle

High Angular Resolution
Regression Model
Imaging
Voxel
Fiber
4 Citations

STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data

for the Alzheimer's Disease Neuroimaging Initiative Jul 1 2016 In : NeuroImage. 134, p. 550-562 13 p.

Research output: Contribution to journalArticle

Neuroimaging
Brain
Spatial Analysis
Lateral Ventricles
Brain Diseases
3 Citations

The statistics and mathematics of high dimension low sample size asymptotics

Shen, D., Shen, H., Zhu, H. & Marron, J. S. Oct 1 2016 In : Statistica Sinica. 26, 4, p. 1747-1770 24 p.

Research output: Contribution to journalArticle

Spike
Eigenvector
Higher Dimensions
Sample Size
Statistics