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2020 – today
- 2022
- [j46]Chao Huang, Zhenlin Xu, Zhengyang Shen, Tianyou Luo, Tengfei Li
, Daniel Nissman, Amanda Nelson, Yvonne Golightly, Marc Niethammer, Hongtu Zhu:
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative. Medical Image Anal. 77: 102343 (2022) - [i15]Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu:
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR abs/2202.10574 (2022) - [i14]Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song:
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. CoRR abs/2202.10589 (2022) - [i13]Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu:
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR abs/2202.10887 (2022) - [i12]Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song:
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. CoRR abs/2202.13163 (2022) - [i11]Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo:
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace. CoRR abs/2203.10975 (2022) - 2021
- [j45]Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, Zhongyi Zhu:
Clusterwise functional linear regression models. Comput. Stat. Data Anal. 158: 107192 (2021) - [j44]Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu:
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model. J. Mach. Learn. Res. 22: 147:1-147:39 (2021) - [j43]Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song:
An Online Sequential Test for Qualitative Treatment Effects. J. Mach. Learn. Res. 22: 286:1-286:51 (2021) - [j42]Junghi Kim
, Hongtu Zhu, Xiao Wang, Kim-Anh Do:
Scalable network estimation with L0 penalty. Stat. Anal. Data Min. 14(1): 18-30 (2021) - [c46]Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Tony Qin, Hongtu Zhu:
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling. IEEE BigData 2021: 1438-1448 - [c45]Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Jieping Ye, Hongtu Zhu:
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. ICDM 2021: 1541-1546 - [c44]Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye:
Reinforcement Learning for Ridesharing: A Survey. ITSC 2021: 2447-2454 - [c43]Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye:
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD 2021: 3605-3615 - [i10]Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye:
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR abs/2103.04555 (2021) - [i9]Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye:
Reinforcement Learning for Ridesharing: A Survey. CoRR abs/2105.01099 (2021) - [i8]Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye:
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. CoRR abs/2105.08791 (2021) - [i7]Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye:
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. CoRR abs/2106.04493 (2021) - 2020
- [j41]Zhiwei (Tony) Qin
, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye:
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. INFORMS J. Appl. Anal. 50(5): 272-286 (2020) - [j40]Ziqi Chen, Jianhua Hu, Hongtu Zhu:
Surface functional models. J. Multivar. Anal. 180: 104664 (2020) - [j39]Moritz Gerstung
, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell
, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi
, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff MacIntyre, Salem Malikic
, Nilgun Donmez, Dimitri G. Livitz
, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao
, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen
, Ke Yuan, Wenyi Wang
, Quaid D. Morris
, David J. Adams
, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie
, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils
, Matthew Fittall
, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge
, Peter Van Loo:
The evolutionary history of 2,658 cancers. Nat. 578(7793): 122-128 (2020) - [j38]Liming Zhong, Tengfei Li
, Hai Shu
, Chao Huang, Jason M. Johnson
, Donald F. Schomer, Ho-Ling Liu
, Qianjin Feng, Wei Yang, Hongtu Zhu:
(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. NeuroImage 223: 117368 (2020) - [c42]Jiarui Tang, Tengfei Li
, Hai Shu, Hongtu Zhu:
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 431-440 - [c41]Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu:
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM 2020: 2805-2812 - [i6]Hai Shu
, Zhe Qu, Hongtu Zhu:
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. CoRR abs/2001.02856 (2020) - [i5]Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye:
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR abs/2002.01711 (2020) - [i4]Ronghua Shi, Hai Shu
, Hongtu Zhu, Ziqi Chen:
Adversarial Image Generation and Training for Deep Convolutional Neural Networks. CoRR abs/2006.03243 (2020)
2010 – 2019
- 2019
- [j37]Haiqiang Ma, Ting Li, Hongtu Zhu, Zhongyi Zhu:
Quantile regression for functional partially linear model in ultra-high dimensions. Comput. Stat. Data Anal. 129: 135-147 (2019) - [j36]Brittany R. Howell
, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li
, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kamil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison:
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019) - [j35]Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu, David B. Dunson:
Tensor network factorizations: Relationships between brain structural connectomes and traits. NeuroImage 197: 330-343 (2019) - [j34]Brittany R. Howell
, Mihye Ahn, Yundi Shi, Jodi R. Godfrey, Xiaoping Hu
, Hongtu Zhu, Martin Styner, Mar Sanchez:
Disentangling the effects of early caregiving experience and heritable factors on brain white matter development in rhesus monkeys. NeuroImage 197: 625-642 (2019) - [c40]Zhenhua Lin, Hongtu Zhu:
MFPCA: Multiscale Functional Principal Component Analysis. AAAI 2019: 4320-4327 - [c39]Hai Shu
, Hongtu Zhu:
Sensitivity Analysis of Deep Neural Networks. AAAI 2019: 4943-4950 - [c38]Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li
, Hongtu Zhu:
A Powerful Global Test Statistic for Functional Statistical Inference. AAAI 2019: 5765-5772 - [c37]Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye:
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. IEEE BigData 2019: 1450-1459 - [c36]Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye:
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). CIKM 2019: 2995-2996 - [c35]Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye:
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM 2019: 61-70 - [c34]Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye:
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD 2019: 1780-1790 - [c33]Tengfei Li
, Xifeng Wang, Tianyou Luo, Yue Yang, Bingxin Zhao, Liuqing Yang, Ziliang Zhu, Hongtu Zhu:
Adolescent Fluid Intelligence Prediction from Regional Brain Volumes and Cortical Curvatures Using BlockPC-XGBoost. ABCD-NP@MICCAI 2019: 167-175 - [c32]Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye:
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. NeurIPS 2019: 7013-7023 - [i3]Hai Shu, Hongtu Zhu:
Sensitivity Analysis of Deep Neural Networks. CoRR abs/1901.07152 (2019) - [i2]Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire:
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. CoRR abs/1905.09906 (2019) - 2018
- [j33]Ching-Wei Wang
, Yu-Ching Lee, Evelyne Calista, Fan Zhou, Hongtu Zhu, Ryohei Suzuki, Daisuke Komura
, Shumpei Ishikawa, Shih-Ping Cheng
:
A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays. Bioinform. 34(10): 1767-1773 (2018) - [j32]Priscille de Dumast, Clément Mirabel, Lucia H. S. Cevidanes, Antonio C. Ruellas, Marilia Yatabe, Marcos Ioshida, Nina Tubau Ribera, Loic Michoud, Liliane R. Gomes, Chao Huang
, Hongtu Zhu, Luciana Muniz, Brandon Shoukri, Beatriz Paniagua, Martin Styner, Steve Pieper, François Budin, Jean-Baptiste Vimort, Juan-Carlos Prieto:
A web-based system for neural network based classification in temporomandibular joint osteoarthritis. Comput. Medical Imaging Graph. 67: 45-54 (2018) - [j31]Zhengwu Zhang, Maxime Descoteaux, Jingwen Zhang, Gabriel Girard, Maxime Chamberland
, David B. Dunson, Anuj Srivastava, Hongtu Zhu:
Mapping population-based structural connectomes. NeuroImage 172: 130-145 (2018) - [j30]Leo Yu-Feng Liu, Yufeng Liu, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data. NeuroImage 175: 230-245 (2018) - [c31]Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu:
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. ICDM 2018: 617-626 - [c30]Tengfei Li
, Fan Zhou, Ziliang Zhu, Hai Shu
, Hongtu Zhu:
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. ISBI 2018: 692-695 - [c29]Rongjie Liu, Chao Huang
, Tengfei Li
, Liuqing Yang, Hongtu Zhu:
Statistical disease mapping for heterogeneous neuroimaging studies. ISBI 2018: 1415-1418 - [c28]Jared Vicory, Laura Pascal, Pablo Hernandez, James Fishbaugh, Juan-Carlos Prieto, Mahmoud Mostapha, Chao Huang
, Hina Shah, Jun-Pyo Hong, Zhiyuan Liu, Loic Michoud, Jean-Christophe Fillion-Robin, Guido Gerig, Hongtu Zhu, Stephen M. Pizer, Martin Styner, Beatriz Paniagua:
SlicerSALT: Shape AnaLysis Toolbox. ShapeMI@MICCAI 2018: 65-72 - [c27]Lutao Dai, Tengfei Li
, Hai Shu
, Liming Zhong, Haipeng Shen, Hongtu Zhu:
Automatic Brain Tumor Segmentation with Domain Adaptation. BrainLes@MICCAI (2) 2018: 380-392 - 2017
- [j29]Wensheng Zhu, Ying Yuan, Jingwen Zhang, Fan Zhou, Rebecca C. Knickmeyer
, Hongtu Zhu:
Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study. NeuroImage 146: 983-1002 (2017) - [j28]Zhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu:
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies. NeuroImage 149: 305-322 (2017) - [j27]Chao Huang
, Paul M. Thompson, Yalin Wang
, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer
, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
FGWAS: Functional genome wide association analysis. NeuroImage 159: 107-121 (2017) - [c26]Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu:
Conditional Local Distance Correlation for Manifold-Valued Data. IPMI 2017: 41-52 - [c25]Jingwen Zhang, Chao Huang
, Joseph G. Ibrahim, Shaili Jha
, Rebecca C. Knickmeyer
, John H. Gilmore, Martin Styner, Hongtu Zhu:
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics. IPMI 2017: 478-489 - [c24]Fan Zhou
, Tengfei Li
, Heng Li, Hongtu Zhu:
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI 2017: 274-286 - [e1]Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen:
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Lecture Notes in Computer Science 10265, Springer 2017, ISBN 978-3-319-59049-3 [contents] - 2016
- [j26]Jung Won Hyun, Yimei Li, Chao Huang
, Martin Styner, Weili Lin, Hongtu Zhu
:
STGP: Spatio-temporal Gaussian process models for longitudinal neuroimaging data. NeuroImage 134: 550-562 (2016) - [c23]Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin:
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. MICCAI (1) 2016: 627-635 - [i1]Yao Chen
, Xiao Wang, Linglong Kong, Hongtu Zhu:
Local Region Sparse Learning for Image-on-Scalar Regression. CoRR abs/1605.08501 (2016) - 2015
- [j25]Seung Jae Lee, Rachel J. Steiner
, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore:
Quantitative tract-based white matter heritability in twin neonates. NeuroImage 111: 123-135 (2015) - [j24]Meiyan Huang, Thomas E. Nichols
, Chao Huang
, Yang Yu, Zhaohua Lu
, Rebecca C. Knickmeyer
, Qianjin Feng, Hongtu Zhu:
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data. NeuroImage 118: 613-627 (2015) - [j23]Qibing Gao, Mihye Ahn, Hongtu Zhu:
Cook's Distance Measures for Varying Coefficient Models With Functional Responses. Technometrics 57(2): 268-280 (2015) - [j22]Chao Huang
, Liang Shan, Cecil Charles, Wolfgang Wirth, Marc Niethammer, Hongtu Zhu:
Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. IEEE Trans. Medical Imaging 34(9): 1914-1927 (2015) - [c22]Dan Shen, Hongtu Zhu:
Spatially Weighted Principal Component Regression for High-Dimensional Prediction. IPMI 2015: 758-769 - [c21]Xinchao Luo, Lixing Zhu
, Linglong Kong, Hongtu Zhu:
Functional Nonlinear Mixed Effects Models for Longitudinal Image Data. IPMI 2015: 794-805 - 2014
- [j21]Ying Yuan, John H. Gilmore, Xiujuan Geng
, Martin Andreas Styner
, Kehui Chen, Jane-ling Wang, Hongtu Zhu:
FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data. NeuroImage 84: 753-764 (2014) - [j20]Jung Won Hyun, Yimei Li, John H. Gilmore, Zhaohua Lu
, Martin Andreas Styner, Hongtu Zhu:
SGPP: spatial Gaussian predictive process models for neuroimaging data. NeuroImage 89: 70-80 (2014) - [c20]Yasheng Chen, Hongyu An, Dinggang Shen, Hongtu Zhu, Weili Lin:
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study. ISBI 2014: 1206-1209 - 2013
- [j19]Audrey R. Verde, François Budin, Jean-Baptiste Berger, Aditya Gupta, Mahshid Farzinfar, Adrien Kaiser
, Mihye Ahn, Hans J. Johnson
, Joy T. Matsui, Heather Cody Hazlett, Anuja Sharma, Casey Goodlett, Yundi Shi, Sylvain Gouttard, Clement Vachet
, Joseph Piven, Hongtu Zhu, Guido Gerig
, Martin Andreas Styner:
UNC-Utah NA-MIC framework for DTI fiber tract analysis. Frontiers Neuroinformatics 7: 51 (2013) - [j18]Yimei Li, John H. Gilmore, Dinggang Shen, Martin Styner
, Weili Lin, Hongtu Zhu:
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. NeuroImage 72: 91-105 (2013) - [c19]Ying Yuan, John H. Gilmore, Xiujuan Geng
, Martin Andreas Styner, Kehui Chen, Jane-ling Wang, Hongtu Zhu:
A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics. IPMI 2013: 220-231 - [c18]Chao Huang
, Liang Shan, Cecil Charles, Marc Niethammer, Hongtu Zhu:
Diseased Region Detection of Longitudinal Knee MRI Data. IPMI 2013: 632-643 - [c17]Audrey R. Verde, Jean-Baptiste Berger, Aditya Gupta, Mahshid Farzinfar, Adrien Kaiser
, Vicki W. Chanon, Charlotte A. Boettiger
, Hans J. Johnson
, Joy T. Matsui, Anuja Sharma, Casey Goodlett, Yundi Shi, Hongtu Zhu, Guido Gerig
, Sylvain Gouttard, Clement Vachet
, Martin Styner:
UNC-Utah NA-MIC DTI framework: atlas based fiber tract analysis with application to a study of nicotine smoking addiction. Medical Imaging: Image Processing 2013: 86692D - [c16]Yaping Wang, Gang Li, Mihye Ahn, Jingxin Nie, Hongtu Zhu, Lei Guo:
Mapping longitudinal cerebral cortex development using diffusion tensor imaging. Medical Imaging: Image Processing 2013: 86692E - 2012
- [j17]Zhaowei Hua, David B. Dunson, John H. Gilmore, Martin Andreas Styner
, Hongtu Zhu:
Semiparametric Bayesian local functional models for diffusion tensor tract statistics. NeuroImage 63(1): 460-474 (2012) - [j16]Jiaping Wang, Haipeng Shen, Hongtu Zhu:
Comment. Technometrics 54(2): 129-133 (2012) - [j15]Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner
, Weili Lin, Hongtu Zhu:
TwinMARM: Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. IEEE Trans. Medical Imaging 31(5): 1100-1112 (2012) - 2011
- [j14]Beatriz Paniagua, Lucia H. S. Cevidanes, Hongtu Zhu, Martin Styner
:
Outcome quantification using SPHARM-PDM toolbox in orthognathic surgery. Int. J. Comput. Assist. Radiol. Surg. 6(5): 617-626 (2011) - [j13]Beatriz Paniagua, Lucia H. S. Cevidanes, David Walker, Hongtu Zhu, Ruixin Guo, Martin Styner
:
Clinical application of SPHARM-PDM to quantify temporomandibular joint osteoarthritis. Comput. Medical Imaging Graph. 35(5): 345-352 (2011) - [j12]Martha Skup, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi
, Wei Gao, Weili Lin, Yong Fan, Heping Zhang:
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI. NeuroImage 56(3): 890-906 (2011) - [j11]Hongtu Zhu, Linglong Kong, Runze Li
, Martin Styner
, Guido Gerig
, Weili Lin, John H. Gilmore:
FADTTS: Functional analysis of diffusion tensor tract statistics. NeuroImage 56(3): 1412-1425 (2011) - [j10]Yasheng Chen, Hongyu An, Hongtu Zhu, Valerie Jewells
, Diane Armao
, Dinggang Shen, John H. Gilmore, Weili Lin:
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging. NeuroImage 58(4): 993-1005 (2011) - [c15]Yimei Li, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, Hongtu Zhu:
Two-Stage Multiscale Adaptive Regression Methods for Twin Neuroimaging Data. MBIA 2011: 102-109 - [c14]Jiaping Wang, Hongtu Zhu, Jianqing Fan, Kelly S. Giovanello, Weili Lin:
Adaptively and Spatially Estimating the Hemodynamic Response Functions in fMRI. MICCAI (2) 2011: 269-276 - 2010
- [j9]Hongtu Zhu, Martin Styner
, Niansheng Tang
, Zhexing Liu, Weili Lin, John H. Gilmore:
FRATS: Functional Regression Analysis of DTI Tract Statistics. IEEE Trans. Medical Imaging 29(4): 1039-1049 (2010) - [j8]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
F-TIMER: Fast Tensor Image Morphing for Elastic Registration. IEEE Trans. Medical Imaging 29(5): 1192-1203 (2010) - [c13]Yasheng Chen, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, Weili Lin:
Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM. MICCAI (2) 2010: 274-281 - [c12]Wei Gao, Hongtu Zhu, Kelly S. Giovanello, Weili Lin:
Multivariate Network-Level Approach to Detect Interactions between Large-Scale Functional Systems. MICCAI (2) 2010: 298-305 - [c11]Hongtu Zhu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher L. Coe, John H. Gilmore:
Multivariate Varying Coefficient Models for DTI Tract Statistics. MICCAI (1) 2010: 690-697
2000 – 2009
- 2009
- [j7]Wei Gao, Hongtu Zhu, Weili Lin:
A unified optimization approach for diffusion tensor imaging technique. NeuroImage 44(3): 729-741 (2009) - [j6]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. NeuroImage 47(2): 549-563 (2009) - [j5]Yasheng Chen, Hongyu An, Hongtu Zhu, Taylor Stone, J. Keith Smith
, Colin Hall, Elizabeth Bullitt, Dinggang Shen, Weili Lin:
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients. NeuroImage 47(4): 1154-1162 (2009) - [c10]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. CVPR Workshops 2009: 1-8 - [c9]Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen:
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. CVPR Workshops 2009: 52-57 - [c8]Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen:
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. IPMI 2009: 314-325 - [c7]Zhexing Liu, Hongtu Zhu, Bonita Marks, Laurence M. Katz, Casey Goodlett, Guido Gerig, Martin Andreas Styner:
Voxel-Wise Group Analysis of DTI. ISBI 2009: 807-810 - [c6]Xiaoyan Shi, Martin Styner
, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu:
Intrinsic Regression Models for Manifold-Valued Data. MICCAI (1) 2009: 192-199 - [c5]Yasheng Chen, Hongtu Zhu, Dinggang Shen, Hongyu An, John H. Gilmore, Weili Lin:
Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins. MICCAI (1) 2009: 232-239 - [c4]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
Fast Tensor Image Morphing for Elastic Registration. MICCAI (1) 2009: 721-729 - [c3]Yimei Li, Hongtu Zhu, Yasheng Chen, Hongyu An, John H. Gilmore, Weili Lin, Dinggang Shen:
LSTGEE: longitudinal analysis of neuroimaging data. Medical Imaging: Image Processing 2009: 72590F - [c2]Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen:
RADTI: regression analyses of diffusion tensor images. Medical Imaging: Image Processing 2009: 72591C - [c1]Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John H. Gilmore, Weili Lin:
Hierarchical unbiased group-wise registration for atlas construction and population comparison. Medical Imaging: Image Processing 2009: 72592V - 2008
- [j4]Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Lin, Bradley S. Peterson:
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. IEEE Trans. Medical Imaging 27(10): 1506-1514 (2008) - 2007
- [j3]Hongtu Zhu, Minggao Gu, Bradley S. Peterson:
Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm. Stat. Comput. 17(2): 163-177 (2007) - [j2]Ravi Bansal, Lawrence H. Staib
, Dongrong Xu, Hongtu Zhu, Bradley S. Peterson:
Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds. IEEE Trans. Medical Imaging 26(1): 46-57 (2007) - [j1]