Zhaohua Ding

According to our database, Zhaohua Ding authored at least 47 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

White matter engagement in brain networks assessed by integration of functional and structural connectivity.

Muwei Li, Kurt G. Schilling, Lyuan Xu, Soyoung Choi, Yurui Gao, Zhongliang Zu, Adam W. Anderson, Zhaohua Ding, John C. Gore

NeuroImage, 2024

2023

Functional alterations in bipartite network of white and grey matters during aging.

Yurui 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, September, 2023

A Riemannian Framework for Structurally Curated Functional Clustering of Brain White Matter Fibers.

Yi Zhao, Zhipeng Yang, Zhaohua Ding, Jingyong Su

IEEE Trans. Medical Imaging, 2023

Automatic preprocessing pipeline for white matter functional analyses of large-scale databases.

Yurui 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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Functional Parcellation of Human Brain Using Localized Topo-Connectivity Mapping.

Yu Zhao, Yurui Gao, Muwei Li, Adam W. Anderson, Zhaohua Ding, John C. Gore

IEEE Trans. Medical Imaging, 2022

Detection of functional activity in brain white matter using fiber architecture informed synchrony mapping.

Yu Zhao, Yurui Gao, Zhongliang Zu, Muwei Li, Kurt G. Schilling, Adam W. Anderson, Zhaohua Ding, John C. Gore

NeuroImage, 2022

Dynamic variations of resting-state BOLD signal spectra in white matter.

Muwei Li, Yurui Gao, Adam W. Anderson, Zhaohua Ding, John C. Gore

NeuroImage, 2022

A Riemannian Framework for Functional Clustering of Whole Brain White Matter Fibers.

Yi Zhao, Jingyong Su, Zhipeng Yang, Zhaohua Ding

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2020

Concomitant modulation of BOLD responses in white matter pathways and cortex.

Arabinda Mishra, Muwei Li, Adam W. Anderson, Allen T. Newton, Zhaohua Ding, John C. Gore

NeuroImage, 2020

Functional engagement of white matter in resting-state brain networks.

Muwei Li, Yurui Gao, Fei Gao, Adam W. Anderson, Zhaohua Ding, John C. Gore

NeuroImage, 2020

Detection of functional networks within white matter using independent component analysis.

Yali Huang, Yang Yang, Lei Hao, Xuefang Hu, Peiguang Wang, Zhaohua Ding, Jia-Hong Gao, John C. Gore

NeuroImage, 2020

A Riemannian Framework for Detecting Stimulus-Relevant Fiber Pathways.

Mengmeng Guo, Jingyong Su, Zhipeng Yang, Linlin Tang, Zhaohua Ding

Proceedings of the 25th International Conference on Pattern Recognition, 2020

S3F: A Multi-View Slow-Fast Network For Alzheimer's Disease Diagnosis.

Ziqiao Weng, Jingjing Meng, Zhaohua Ding, Junsong Yuan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI.

Zhipeng Yang, Peiyu He, Jiliu Zhou, Zhaohua Ding, Xi Wu

IEEE Trans. Biomed. Eng., 2019

Resting-state white matter-cortical connectivity in non-human primate brain.

Tung-Lin Wu, Feng Wang, Muwei Li, Kurt G. Schilling, Yurui Gao, Adam W. Anderson, Li Min Chen, Zhaohua Ding, John C. Gore

NeuroImage, 2019

Progressive degeneration of white matter functional connectivity in Alzheimer's disease.

Yurui Gao, Muwei Li, Zhongliang Zu, Baxter P. Rogers, Adam W. Anderson, Zhaohua Ding, John C. Gore

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

Voxel-wise detection of functional networks in white matter.

Yali Huang, Stephen K. Bailey, Peiguang Wang, Laurie E. Cutting, John C. Gore, Zhaohua Ding

NeuroImage, 2018

2017

Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations.

Xi Wu, Zhipeng Yang, Stephen K. Bailey, Jiliu Zhou, Laurie E. Cutting, John C. Gore, Zhaohua Ding

NeuroImage, 2017

A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data.

Hakmook Kang, Hernando C. Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L. Morgan

Brain Connect., 2017

Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging.

Kurt G. Schilling, Vishwesh Nath, Justin A. Blaber, Robert L. Harrigan, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI.

Vishwesh Nath, Kurt G. Schilling, Justin A. Blaber, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman

Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016

A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging.

Yurui 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 W. Anderson

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2013

The effect of temperature and magnetic field on a quantum rod qubit.

Yong Sun, Zhaohua Ding, Jing-Lin Xiao

Quantum Inf. Process., 2013

The Approach to Steady State Using Homogeneous and Cartesian Coordinates.

Daniel F. Gochberg, Zhaohua Ding

Comput. Math. Methods Medicine, 2013

Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration.

Martha J. Holmes, Xue Yang, Bennett A. Landman, Zhaohua Ding, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, Victoria L. Morgan

Brain Connect., 2013

2012

Elastic Geodesic Paths in Shape Space of Parameterized Surfaces.

Sebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava

IEEE Trans. Pattern Anal. Mach. Intell., 2012

A Novel Framework for Metric-Based Image Registration.

Qian Xie, Sebastian Kurtek, Gary E. Christensen, Zhaohua Ding, Eric Klassen, Anuj Srivastava

Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

2011

Parameterization-Invariant Shape Comparisons of Anatomical Surfaces.

Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Sandra Jacobson, Joseph B. Jacobson, Malcolm Avison, Anuj Srivastava

IEEE Trans. Medical Imaging, 2011

A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI.

Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore

IEEE Trans. Image Process., 2011

Classification of mathematics deficiency using shape and scale analysis of 3D brain structures.

Sebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces.

Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Malcolm Avison, Anuj Srivastava

Proceedings of the Information Processing in Medical Imaging, 2011

2010

A novel riemannian framework for shape analysis of 3D objects.

Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Anuj Srivastava

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Unified Bundling and Registration of Brain White Matter Fibers.

Qing Xu, Adam W. Anderson, John C. Gore, Zhaohua Ding

IEEE Trans. Medical Imaging, 2009

Cerebral morphology and dopamine D₂/D₃ receptor distribution in humans: A combined [¹⁸F]fallypride and voxel-based morphometry study.

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, 2009

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, 2009

Fiber-to-bundle registration of white matter tracts.

Qing Xu, Adam W. Anderson, John C. Gore, Zhaohua Ding

Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008

Minimization of Region-Scalable Fitting Energy for Image Segmentation.

Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua Ding

IEEE Trans. Image Process., 2008

A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity.

Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

Diffusion Tensor Image Smoothing Using Efficient and Effective Anisotropic Filtering.

Qing Xu, Adam W. Anderson, John C. Gore, Zhaohua Ding

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Shape Analysis of Open Curves in R³ with Applications to Study of Fiber Tracts in DT-MRI Data.

Nikolay Balov, Anuj Srivastava, Chunming Li, Zhaohua Ding

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Implicit Active Contours Driven by Local Binary Fitting Energy.

Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua Ding

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Unified framework for anisotropic interpolation and smoothing of diffusion tensor images.

Arabinda Mishra, Yonggang Lu, Jingjing Meng, Adam W. Anderson, Zhaohua Ding

NeuroImage, 2006

Improved fiber tractography with Bayesian tensor regularization.

Yonggang Lu, Akram Aldroubi, John C. Gore, Adam W. Anderson, Zhaohua Ding

NeuroImage, 2006

2005

Visualization of neuronal fiber connections from DT-MRI with global optimization.

Nathaniel Fout, Jian Huang, Zhaohua Ding

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Maximum-Likelihood Estimation of Biological Growth Variables.

Anuj Srivastava, Sanjay Saini, Zhaohua Ding, Ulf Grenander

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2001

Case Study: Reconstruction, Visualization, and Quantification of Neuronal Fiber Pathways.

Zhaohua Ding, John C. Gore, Adam W. Anderson

Proceedings of the 12th IEEE Visualization Conference, 2001

1997

Visualization of plant growth.

Jeremy J. Loomis, Xiuwen Liu, Zhaohua Ding, Kikuo Fujimura, Michael L. Evans, Hideo Ishikawa

Proceedings of the 8th IEEE Visualization Conference, 1997