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2020 – today
- 2023
[i18]Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Source-Free Unsupervised Domain Adaptation: A Survey. CoRR abs/2301.00265 (2023)- [i17]Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen:
Nearest-Neighbor Sampling Based Conditional Independence Testing. CoRR abs/2304.04183 (2023) - [i16]Ting Li, Chengchun Shi, Zhaohua Lu, Yi Li, Hongtu Zhu:
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing. CoRR abs/2305.10187 (2023) - 2022
- [j50]Jiawen Chen
, Weifang Liu, Tianyou Luo, Zhentao Yu, Minzhi Jiang, Jia Wen, Gaorav P. Gupta, Paola Giusti, Hongtu Zhu, Yuchen Yang, Yun Li:
A comprehensive comparison on cell-type composition inference for spatial transcriptomics data. Briefings Bioinform. 23(4) (2022) - [j49]Di Xiong, Shihui Ying, Hongtu Zhu:
Intrinsic partial linear models for manifold-valued data. Inf. Process. Manag. 59(4): 102954 (2022) - [j48]Hai Shu, Zhe Qu, Hongtu Zhu:
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. J. Mach. Learn. Res. 23: 169:1-169:64 (2022) - [j47]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) - [j46]Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan:
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. 24(2): 78-80 (2022) - [c48]Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen:
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. IJCNN 2022: 1-8 - [c47]Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan:
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD 2022: 4898-4899 - [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 (Tony) 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, Kâmil 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]