• 6218 Citations
  • 41 h-Index
1979 …2020
If you made any changes in Pure these will be visible here soon.

Research Output 1995 2018

2018
1 Citations

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

Benchmarking
Precision Medicine
Microarrays
Thyroid Neoplasms
Microarray
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 Generic Sure Independence Screening Procedure

Pan, W., Wang, X., Xiao, W. & Zhu, H., Jan 1 2018, (Accepted/In press) In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Screening
Medicine
Statistical Learning
Pursuit
High-dimensional Data

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

Cox Regression Model
Linear Regression Model
Proportional Hazards Models
Linear regression
Neuroimaging

FSEM: Functional Structural Equation Models for Twin Functional Data

Luo, S., Song, R., Styner, M., Gilmore, J. H. & Zhu, H., Jul 6 2018, (Accepted/In press) In : Journal of the American Statistical Association. p. 1-14 14 p.

Research output: Contribution to journalArticle

Structural Equation Model
Functional Data
Functional equation
Weighted Likelihood
Covariance Operator

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., Sep 1 2018, In : Biometrics. 74, 3, p. 834-844 11 p.

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

Functional Linear Model
Partially Linear Model
Conditional Quantiles
Quantile Function
Quantile Regression

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
2 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. Menze, B., Crimi, A., Kuijf, H., Reyes, M. & Bakas, S. (eds.). 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
2 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
6 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
1 Citations

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. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). 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
96 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
3 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
4 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. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). 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
4 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
3 Citations

Impact of Demographic and Obstetric Factors on Infant Brain Volumes: A Population Neuroscience Study

Knickmeyer, R. C., Xia, K., Lu, Z., Ahn, M., Jha, S. C., Zou, F., Zhu, H., Styner, M. & Gilmore, J. H., Dec 1 2017, In : Cerebral cortex (New York, N.Y. : 1991). 27, 12, p. 5616-5625 10 p.

Research output: Contribution to journalArticle

Neurosciences
Obstetrics
Mothers
Demography
Brain

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
1 Citations

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
1 Citations
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
4 Citations

Regression models on Riemannian symmetric spaces

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
3 Citations
11 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
12 Citations
Serotonin Uptake Inhibitors
Cohort Studies
Depression
Mothers
Brain
14 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
30 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
8 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
2 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