Zhaohua Ding - researchr alias

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Viewing Publication 1 - 46 from 46

2023

Automatic preprocessing pipeline for white matter functional analyses of large-scale databasesYurui Gao, Dylan R. Lawless, Muwei Li, Yu Zhao, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Baxter P. Rogers, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, John C. Gore. miip 2023: [doi]

Functional alterations in bipartite network of white and grey matters during agingYurui Gao, Yu Zhao, Muwei Li, Richard D. Lawless, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Baxter P. Rogers, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, John C. Gore. neuroimage, 278:120277, September 2023. [doi]

A Riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter FibersYi Zhao, Zhipeng Yang, Zhaohua Ding, Jingyong Su. tmi, 42(8):2414-2424, 2023. [doi]

2022

2020

A Riemannian Framework for Detecting Stimulus-Relevant Fiber PathwaysMengmeng Guo, Jingyong Su, Zhipeng Yang, Linlin Tang, Zhaohua Ding. icpr 2021: 7299-7305 [doi]

Detection of functional networks within white matter using independent component analysisYali Huang, Yang Yang, Lei Hao, Xuefang Hu, Peiguang Wang, Zhaohua Ding, Jia-Hong Gao, John C. Gore. neuroimage, 222:117278, 2020. [doi]

Functional engagement of white matter in resting-state brain networksMuwei Li, Yurui Gao, Fei Gao, Adam W. Anderson, Zhaohua Ding, John C. Gore. neuroimage, 220:117096, 2020. [doi]

Concomitant modulation of BOLD responses in white matter pathways and cortexArabinda Mishra, Muwei Li, Adam W. Anderson, Allen T. Newton, Zhaohua Ding, John C. Gore. neuroimage, 216:116791, 2020. [doi]

S3F: A Multi-View Slow-Fast Network For Alzheimer's Disease DiagnosisZiqiao Weng, Jingjing Meng, Zhaohua Ding, Junsong Yuan. icmcs 2020: 1-6 [doi]

2019

2018

Voxel-wise detection of functional networks in white matterYali Huang, Stephen K. Bailey, Peiguang Wang, Laurie E. Cutting, John C. Gore, Zhaohua Ding. neuroimage, 183:544-552, 2018. [doi]

2017

Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulationsXi Wu 0004, Zhipeng Yang, Stephen K. Bailey, Jiliu Zhou, Laurie E. Cutting, John C. Gore, Zhaohua Ding. neuroimage, 152:371-380, 2017. [doi]

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural DataHakmook Kang, Hernando Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L. Morgan. brain, 7(4):219-227, 2017. [doi]

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDIVishwesh Nath, Kurt G. Schilling, Justin A. Blaber, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman. miip 2017: [doi]

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imagingKurt G. Schilling, Vishwesh Nath, Justin A. Blaber, Robert L. Harrigan, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman. miip 2017: [doi]

2016

A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imagingYurui Gao, Prasanna Parvathaneni, Kurt Schilling, Feng Wang, Iwona Stepniewska, Zhoubing Xu, Ann S. Choe, Zhaohua Ding, John C. Gore, Li Min Chen, Bennett A. Landman, Adam M. Anderson. miip 2016: [doi]

2013

2012

Elastic Geodesic Paths in Shape Space of Parameterized SurfacesSebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava. pami, 34(9):1717-1730, 2012. [doi]

A Novel Framework for Metric-Based Image RegistrationQian Xie, Sebastian Kurtek, Gary E. Christensen, Zhaohua Ding, Eric Klassen, Anuj Srivastava. wbir 2012: 276-285 [doi]

2011

Parameterization-Invariant Shape Comparisons of Anatomical SurfacesSebastian Kurtek, Eric Klassen, Zhaohua Ding, Sandra Jacobson, Joseph Jacobson, Malcolm Avison, Anuj Srivastava. tmi, 30(3):849-858, 2011. [doi]

Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical SurfacesSebastian Kurtek, Eric Klassen, Zhaohua Ding, Malcolm Avison, Anuj Srivastava. ipmi 2011: 147-158 [doi]

Classification of mathematics deficiency using shape and scale analysis of 3D brain structuresSebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava. miip 2011: 796244 [doi]

A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRIChunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore. TIP, 20(7):2007-2016, 2011. [doi]

2010

A novel riemannian framework for shape analysis of 3D objectsSebastian Kurtek, Eric Klassen, Zhaohua Ding, Anuj Srivastava. cvpr 2010: 1625-1632 [doi]

2009

Fiber-to-bundle registration of white matter tractsQing Xu 0003, Adam W. Anderson, John C. Gore, Zhaohua Ding. miip 2009: [doi]

Unified Bundling and Registration of Brain White Matter FibersQing Xu 0003, Adam W. Anderson, John C. Gore, Zhaohua Ding. tmi, 28(9):1399-1411, 2009. [doi]

18F]fallypride and voxel-based morphometry studyNeil D. Woodward, David H. Zald, Zhaohua Ding, Patrizia Riccardi, M. Sib Ansari, Ronald M. Baldwin, Ronald L. Cowan, Rui Li, Robert M. Kessler. neuroimage, 46(1):31-38, 2009. [doi]

Corrigendum to "Cerebral morphology and dopamine D2/D3 receptor distribution in humans: A combined [18F]fallypride and voxel-based morphometry study" [NeuroImage 46 (2009) 31-38]Neil D. Woodward, David H. Zald, Zhaohua Ding, Patrizia Riccardi, M. Sib Ansari, Ronald M. Baldwin, Ronald L. Cowan, Rui Li, Robert M. Kessler. neuroimage, 47(4):2090, 2009. [doi]

2008

Minimization of Region-Scalable Fitting Energy for Image SegmentationChunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua Ding. TIP, 17(10):1940-1949, 2008. [doi]

A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity InhomogeneityChunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore. miccai 2008: 1083-1091 [doi]

2007

2006

Improved fiber tractography with Bayesian tensor regularizationYonggang Lu, Akram Aldroubi, John C. Gore, Adam W. Anderson, Zhaohua Ding. neuroimage, 31(3):1061-1074, 2006. [doi]

Unified framework for anisotropic interpolation and smoothing of diffusion tensor imagesArabinda Mishra, Yonggang Lu, Jingjing Meng, Adam W. Anderson, Zhaohua Ding. neuroimage, 31(4):1525-1535, 2006. [doi]

2005

Visualization of neuronal fiber connections from DT-MRI with global optimizationNathaniel Fout, Jian Huang, Zhaohua Ding. SAC 2005: 1200-1206 [doi]

Maximum-Likelihood Estimation of Biological Growth VariablesAnuj Srivastava, Sanjay Saini, Zhaohua Ding, Ulf Grenander. emmcvpr 2005: 107-118 [doi]

2001

Case Study: Reconstruction, Visualization, and Quantification of Neuronal Fiber PathwaysZhaohua Ding, John C. Gore, Adam W. Anderson. visualization 2001: 453-456 [doi]

1997

Visualization of plant growthJeremy J. Loomis, Xiuwen Liu, Zhaohua Ding, Kikuo Fujimura, Michael L. Evans, Hideo Ishikawa. visualization 1997: 475-478 [doi]

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