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    Author information
    First name: Zhaohua
    Last name: Ding
    DBLP: 69/6671
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    Conference paper
    Hakmook Kang, Hernando Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L. Morgan.
    A Bayesian Double Fusion Model for Resting-State Brain Connectivity Using Joint Functional and Structural Data.
    Brain Connectivity 2017, Volume 7 (0) 2017
    Conference paper
    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 M. Anderson.
    A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging.
    Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016 2016 (0) 2016
    Journal article
    Martha J. Holmes, Xue Yang, Bennett A. Landman, Zhaohua Ding, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, Victoria L. Morgan.
    Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration.
    Brain Connectivity 2013, Volume 3 (0) 2013
    Conference paper
    Daniel F. Gochberg, Zhaohua Ding.
    The Approach to Steady State Using Homogeneous and Cartesian Coordinates.
    Comp. Math. Methods in Medicine 2013, Volume 2013 (0) 2013
    Conference paper
    Yong Sun, Zhaohua Ding, Jing-Lin Xiao.
    The effect of temperature and magnetic field on a quantum rod qubit.
    Quantum Information Processing 2013, Volume 12 (0) 2013
    Conference paper
    Qian Xie, Sebastian Kurtek, Gary E. Christensen, Zhaohua Ding, Eric Klassen, Anuj Srivastava.
    A Novel Framework for Metric-Based Image Registration.
    Biomedical Image Registration - 5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Sebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava.
    Elastic Geodesic Paths in Shape Space of Parameterized Surfaces.
    IEEE Trans. Pattern Anal. Mach. Intell. 2012, Volume 34 (0) 2012
    Conference paper
    Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Sandra Jacobson, Joseph Jacobson, Malcolm Avison, Anuj Srivastava.
    Parameterization-Invariant Shape Comparisons of Anatomical Surfaces.
    IEEE Trans. Med. Imaging 2011, Volume 30 (0) 2011
    Conference paper
    Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Malcolm Avison, Anuj Srivastava.
    Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces.
    Information Processing in Medical Imaging - 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings 2011 (0) 2011
    Conference paper
    Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore.
    A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI.
    IEEE Transactions on Image Processing 2011, Volume 20 (0) 2011
    Conference paper
    Sebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava.
    Classification of mathematics deficiency using shape and scale analysis of 3D brain structures.
    Medical Imaging 2011: Image Processing, Lake Buena Vista, Florida, USA, February 14-16, 2011 2011 (0) 2011
    Conference paper
    Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Anuj Srivastava.
    A novel riemannian framework for shape analysis of 3D objects.
    The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010 2010 (0) 2010
    Journal article
    Qing Xu, Adam W. Anderson, John C. Gore, Zhaohua Ding.
    Unified Bundling and Registration of Brain White Matter Fibers.
    IEEE Trans. Med. Imaging 2009, Volume 28 (0) 2009
    Journal article
    Neil D. Woodward, David H. Zald, Zhaohua Ding, Patrizia Riccardi, M. Sib Ansari, Ronald M. Baldwin, Ronald L. Cowan, Rui Li, Robert M. Kessler.
    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].
    NeuroImage 2009, Volume 47 (0) 2009
    Journal article
    Neil D. Woodward, David H. Zald, Zhaohua Ding, Patrizia Riccardi, M. Sib Ansari, Ronald M. Baldwin, Ronald L. Cowan, Rui Li, Robert M. Kessler.
    Cerebral morphology and dopamine D
    NeuroImage 2009, Volume 46 (0) 2009
    Conference paper
    Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore.
    A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity.
    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II 2008 (0) 2008
    Conference paper
    Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua Ding.
    Minimization of Region-Scalable Fitting Energy for Image Segmentation.
    IEEE Transactions on Image Processing 2008, Volume 17 (0) 2008
    Conference paper
    Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua Ding.
    Implicit Active Contours Driven by Local Binary Fitting Energy.
    2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 18-23 June 2007, Minneapolis, Minnesota, USA 2007 (0) 2007
    Conference paper
    Nikolay Balov, Anuj Srivastava, Chunming Li, Zhaohua Ding.
    Shape Analysis of Open Curves in R
    Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings 2007 (0) 2007
    Conference paper
    Qing Xu 0003, Adam W. Anderson, John C. Gore, Zhaohua Ding.
    Diffusion Tensor Image Smoothing Using Efficient and Effective Anisotropic Filtering.
    IEEE 11th International Conference on Computer Vision, ICCV 2007, Rio de Janeiro, Brazil, October 14-20, 2007 2007 (0) 2007
    Conference paper
    Anuj Srivastava, Sanjay Saini, Zhaohua Ding, Ulf Grenander.
    Maximum-Likelihood Estimation of Biological Growth Variables.
    Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings 2005 (0) 2005
    Conference paper
    Nathaniel Fout, Jian Huang, Zhaohua Ding.
    Visualization of neuronal fiber connections from DT-MRI with global optimization.
    Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), Santa Fe, New Mexico, USA, March 13-17, 2005 2005 (0) 2005
    Conference paper
    Zhaohua Ding, John C. Gore, Adam W. Anderson.
    Case Study: Reconstruction, Visualization, and Quantification of Neuronal Fiber Pathways.
    IEEE Visualization 2001, October 24-26, 2001, San Diego, CA, USA, Proceedings 2001 (0) 2001
    Conference paper
    Jeremy J. Loomis, Xiuwen Liu, Zhaohua Ding, Kikuo Fujimura, Michael L. Evans, Hideo Ishikawa.
    Visualization of plant growth.
    IEEE Visualization 1997 (0) 1997
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