Book

Chen, Wei, Song Zhang, and Aidong Lu. Foundations of Data Visualization, Science Press, China, June, 2013.

Book Chapters (5)

Wu, Keqin and Song Zhang. Feature-Based Uncertainty Visualization, In Innovative Approaches of Data Visualization and Visual Analytics, p69-94, IGI Global, 2014.

Yang, Xiaoyong, Ruiyi Wu, Zi´ang Ding, Wei Chen, and Song Zhang, A Comparative Analysis of Dimension Reduction Techniques for Representing DTI Fibers as 2D/3D Points, In New Developments in the Visualization and Processing of Tensor Fields, Springer-Verlag, 2012.

Jankun-Kelly T.J., Song Zhang, A.C. Callan-Jones, Robert A. Pelcovits, V.A. Slavin, and David H. Laidlaw, Tensors Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics, In Visualization and Image Processing of Tensor Fields: Advances and Perspectives, Springer-Verlag, 2009. (pdf)

Vilanova, A., Song Zhang, G. Kindlmann, and David H. Laidlaw. An Introduction to Visualization of Diffusion Tensor Imaging and its Applications. In Visualization and Image Processing of Tensor Fields. Springer-Verlag, 2005.(pdf)

Zhang, Song, Gordon Kindlmann, and David H. Laidlaw. Diffusion Tensor MRI Visualization. In Visualization Handbook. Academic Press, June 2004. (pdf)

Journal Publications (24)

Y.H. Wang, C.R. Fan, J. Zhang, T. Niu, S. Zhang and J.R. Jiang. Forecast Verification and Visualization based on Gaussian Mixture Model Co-estimation. Computer Graphics Forum, accepted, 2014.

M.T. Begonia, R. Prabhu, J. Liao, W. R. Whittington, A. Claude, B. Willeford, J. Wardlaw, R. Wu, S. Zhang, L.N. Williams. Quantitative Analysis of Brain Microstructure Following Mild Blunt and Blast Trauma, Journal of Biomechanics, 47(15): p. 3704-3711, 2014. (pdf)

René A. Camacho, James L. Martin, Jairo Diaz-Ramirez, William McAnally, Hugo Rodriguez, Peter Suscy, Song Zhang, Uncertainty analysis of estuarine hydrodynamic models: an evaluation of input data uncertainty in the weeks bay estuary, alabama, Applied Ocean Research, Volume 47, August 2014, Pages 138-153. (pdf)

Wu, Keqin and Song Zhang. A Contour Tree Based Visualization for Exploring Data with Uncertainty, International Journal for Uncertainty Quantification, 3 (3):203–223, 2013. (pdf)

Mercer, Andrew, Jamie Dyer, and Song Zhang. Warm-season Thermodynamically-driven Rainfall Prediction with Support Vector Machines. Procedia Computer Science 20 (2013): 128-133. (pdf)

Sanyal, J., S. Zhang, Jamie Dyer, Andrew Mercer, P. Amburn, and R. Moorhead, Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty. IEEE Transactions on Visualization and Computer Graphics, 16(6):1421-1430, 2010. (pdf)

Zhang, Song, J. Allen Crow, Xiaoyong Yang, Joseph Chen, Ali Borazjani, Katie B Mullins, Wei Chen, Robert C Cooper, Ronald M McLaughlin, and Jun Liao, The Correlation of 3D DT-MRI Fiber Disruption with Structural and Mechanical Degeneration in Porcine Myocardium, Annals of Biomedical Engineering, 38(10):3084-95, 2010. (pdf)

Tate, D.F., Paul, R.H., Conley, J., Coop, K., Zhang, S., Zhou, W., Laidlaw, D.H., Taylor, L.E., Flanigan, T., Navia, B., Cohen, and R., Tashima, K., Quantitative Diffusion Tensor Imaging Tractography Metrics are Associated with Cognitive Performance among HIV-infected Patients, Brain Imaging and Behavior, 4:68-79, 2010. (pdf)

Wu, K, L. Zhanping, S. Zhang, and R. Moorhead, Topology-Aware Evenly-Spaced Streamline Placement. IEEE Transactions on Visualization and Computer Graphics, 16(5): 791-801, 2010. (pdf)

Sanyal, J., S. Zhang, G. Bhattacharya, P. Amburn, and R. Moorhead, A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets. IEEE Transactions on Visualization and Computer Graphics, 15(6):1209-1218, 2009. (pdf)

Chen, W., Z. Ding, S. Zhang, A.M. Brandt, S. Stephen Correia, H. Qu, J.A. Crow, D.F. Tate, Z. Yan, and Q. Peng, A Novel Interface for Interactive Exploration of DTI Fibers. IEEE Transactions on Visualization and Computer Graphics, 15(6):1449-1456, 2009. (pdf)

Chen, W., Z. Yan, S. Zhang, J.A. Crow, D.S. Ebert, R. McLaughlin, K.B. Mullins, R. Cooper, Z. Ding, and J. Liao, Volume Illustration of Muscle from Diffusion Tensor Images. IEEE Transactions on Visualization and Computer Graphics, 15(6):1425-1432, 2009. (pdf)  

Zhang, Song, Stephen Correia, and David H. Laidlaw. Identifying White-matter Fiber-bundles in DTI Data using an Automated Proximity-based Fiber-clustering Method. IEEE Transactions on Visualization and Computer Graphics, 14(5): 1044-1053, 2008, (pdf)

Correia, Stephen, Stephanie Y. Lee, Thom Voorn, David F. Tate, Robert H. Paul, Song Zhang, Stephen P. Salloway, Paul F. Malloy, and David H. Laidlaw. Quantitative Tractography Metrics of White Matter Integrity in Diffusion-tensor MRI. NeuroImage, 42(2): 568-581, 2008. (pdf)

Chen, Wei, Song Zhang, Stephen Correia, and David S. Ebert. Abstractive Representation and Exploration of Hierarchically Clustered Diffusion Tensor Fiber Tracts. Computer Graphics Forum, 27(3): 1071-1078, 2008. (pdf)

Paul, Robert H., David H. Laidlaw, David F. Tate, Stephanie Lee, Karin Hoth, John Gunstad, Song Zhang, Jeffrey Lawrence, and Tim Flanigan. Neuropsychological and Neuroimaging Outcome of HIV-Associated Progressive Multifocal Leukoencephalopathy in the Era of Antiretroviral Therapy. Journal of Integrative Neuroscience, 6(1):191-204, March 2007 (pdf)

Laidlaw, David H., Stephanie Y Lee, Stephen Correia, David F Tate, Robert H Paul, Song Zhang, Stephen P Salloway, and Paul F Malloy. Quantitative TOI Metrics for White-matter Integrity based on Diffusion Tensor MRI Data. Views Radiology, 8(4):21-23, 2007. (pdf)

Callan-Jones, A.C., Robert A. Pelcovits, Vadim Slavin, Song Zhang, David H. Laidlaw, and George B. Loriot. Simulation and Visualization of Topological Defects in Nematic Liquid Crystals. Physical Review E, 74(6), December 2006 (pdf)

Simon, Jack H., Song Zhang, David H. Laidlaw, David E. Miller, Mark Brown, John Corboy, and Jeffrey Bennett. Identification of Fibers at Risk for Degeneration by Diffusion Tractography in Patients at High Risk for MS after a Clinically Isolated Syndrome. Journal of Magnetic Resonance Imaging, 24(5): 983-988, October 2006 (pdf)

Demiralp, Cagatay, Cullen Jackson, David Karelitz, Song Zhang, and David H. Laidlaw. CAVE and Fishtank Virtual Reality Displays: A Qualitative and Quantitative Comparison. IEEE Transaction on Visualization and Computer Graphics, 12(3):323-330, May 2006. (pdf)

Kaufman, Jason A., Eric T. Ahrens, David H. Laidlaw, Song Zhang, and John M. Allman.
Anatomical Analysis of an Aye-aye Brain (Daubentonia Madagascariensis, Primates: Prosimii) Combining Histology, Structural Magnetic Resonance Imaging, and Diffusion-tensor Imaging. Anatomical Record, 287A(1):1026-1037, November 2005. (pdf)

Zhang, Song, Mark Bastin, David H. Laidlaw, Saurabh Sinha, Paul A. Armitage, and Thomas S. Deisboeck. Visualization and Analysis of White Matter Structural Asymmetry in Diffusion Tensor MR Imaging Data. Magnetic Resonance in Medicine, 51(1):140-147, 2004. (pdf)

Wenger, Andreas, Daniel Keefe, Song Zhang, and David H. Laidlaw. Interactive Volume Rendering of Thin Thread Structures within Multivalued Scientific Datasets. IEEE Transactions on Visualization and Computer Graphics, 10(6):664-672, November/December 2004. (pdf)

Zhang, Song, Cagatay Demiralp, and David H. Laidlaw. Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces. IEEE Transactions on Visualization and Computer Graphics, 9(4):454-462, October 2003. (pdf)

Selected Conference Papers and Abstracts (40+)

Song Zhang, William Andrew Pruett, Robert Hester. Visualization and Classification of Physiological Failure Modes in Ensemble Hemorrhage Simulation. Conference on Visualization and Data Analysis, February 2015, San Francisco. (pdf)

John van der Zwaag, Song Zhang, Robert Moorhead, David Welch, Jamie Dyer. Visualizing Uncertainty of River Model Ensembles. Conference on Visualization and Data Analysis, February 2015, San Francisco.

Wu, Keqin and Song Zhang, Feature-Enhanced Map for 2D Multivariate Data with Uncertainty, IEEE VisWeek 2012 Poster Compendium, October 2012, Seattle, WA.

Wu, Ruiyi and Song Zhang, Towards Constructing a Fiber Bundle Atlas on Porcine Hearts with Diffusion Tensor Imaging, IEEE VisWeek 2012 Poster Compendium, October 2012, Seattle, WA.

van der zwaag, J., Reed, D., Graschel, J., Welch, D., Costanza, K., Amburn, P., Dyer, J., Moorhead, R. J., II, Zhang, S., Irby, D., and Sanyal, J. FloodViz - Visual Analytics for Assessment and Interpretation of Simulated River Flooding, 2011 Northern Gulf Institute Conference, Mobile, AL: Northern Gulf Institute, May 2011.

Sanyal, J., Amburn, P., Zhang, S., Dyer, J., van der zwaag, J., Irby, D., & Moorhead, R. J., II. FloodViz - A Visualization Tool for River Flow and Inundation Simulation, IEEE Visweek Poster Compendium, Providence, RI, October 2011.

Keqin Wu and Song Zhang. Visualizing Multiple Scalar Fields with Hierarchical Topology Based on Contour Trees and Morse‑Smale Complexes, IEEE VisWeek Poster Compendium, Providence, RI, October 2011.

Keqin Wu and Song Zhang. A Topology Based Visualization for Exploring Data with Uncertainty, Working with Uncertainty Workshop, Providence, RI.

Jeffrey Eells, Song Zhang, Ruiyi Wu, Robert Meyer, Karen Coats, and David Tate, Building a Diffusion Tensor Imaging (DTI) Model of the Cat Brain to Investigate Asymmetries in the Motor Cortex and Associated White Matter, Society for Neuroscience Meeting, Washington, D.C., January 2011.

Guizhen Wang, Haidong Chen, Xiaoyong Yang, Shuang Ye, Guangyu Chen, Wei Chen, Song Zhang. Visualizing Differences of DTI Fiber Models Using 2D Normalized Embeddings. IEEE Visualization Poster Compendium, 2010

Wu, K., Zhang, S., & Moorhead, R. J., II. Understanding the Impact of Data Uncertainty on Meteorological and Oceanographic Features. Proceedings of Alabama-Mississippi Bays & Bayous Symposium. Mobile, AL, 2010.

Wu, K., Zhang, S., & Moorhead, R. J., II. Contour Tree-Based Spaghetti Plots for Visualizing WRF Ensemble Runs. NGI Annual Conference 2010. Mobile, AL, 2010.

Chen, Wei, Song Zhang, Stephen Correia, and David F. Tate, Visualizing Diffusion Tensor Imaging Data with Merging Ellipsoids, In IEEE Pacific Visualization Symposium, Beijing, China, April 2009. (pdf)

Zhang, Song, Zhicheng Yan, Wei Chen, John Crow, Ronald McLaughlin, Robert Cooper, Xiaoyong Yang, and Jun Liao, Muscle Fiber Visualization from Diffusion Tensor Imaging Data, BMES, October 2009.

Wu, Keqin, Song Zhang, Phil Amburn, and Robert J Moorhead, Using A LIC-like FlowVis Technique to Visualize Hurricanes, In IEEE Visualization Conferences 2009 Poster Compendium, Atlantic City, NJ. (BEST POSTER AWARD)

Sanyal J., Phil Amburn, Song Zhang, Patrick J Fitzpatrick, and Robert J Moorhead, 3D Immersive Visualization and Evaluation of Mesoscale Model Outputs Simulating Hurricane Lili’s (2002) Rapid Weakening, Ocean 2009, Biloxi, MS.

Sanyal J., P. Amburn, S. Zhang, P. Fitzpatrick, and R. Moorhead, Applying Immersive Visualization Techniques to Analyze Model Outputs: a Case Study of Hurricane Lili. In Visualization 2008 poster Compendium, Columbus, Ohio, October 2008. (BEST POSTER AWARD) (pdf)

Patel, K., Stephen Correia, J. Foley, E. Schlicting, Song Zhang, David H. Laidlaw, and Steven Salloway. Grey and White Matter Changes on MRI and Diffusion-Tensor Imaging and Cognitive Function in Mild Cognitive Impairment. In Proceedings of International Neuropsychological Society, Waikoloa, Hawaii, February 2008. (doc)

Sanyal, J., P. Amburn, S. Zhang, P. Fitzpatrick, and R. Moorhead, 3D Immersive Visualization and Evaluation of Mesoscale Model Outputs Simulating Hurricane Lili's (2002) Rapid Weakening. Oceans08. (pdf)

Sanyal, J., P. Amburn, S. Zhang, J. Dyer, P. Fitzpatrick, and R. Moorhead, User Experience of Hurricane Visualization in an Immersive 3D Environment. In Proc. ISVC08-Lecture Notes Comp. Sci. (pdf)

Zhang, S., S. Correia, and D.H. Laidlaw, Template-Based Automatic DTI Fiber Bundle Labeling, In Proceedings of ISMRM, Berlin, Germany, May 2007. (pdf)

Clayden, J., S. Zhang, S. Correia, and D.H. Laidlaw, Fine-Grained Comparison of Anisotropy Differences Between Groups of White Matter Tracts, In Proceedings of ISMRM, Berlin, Germany, May 2007. (pdf)

Patel, K., Stephen Correia, J. Foley, E. Schlicting, Song Zhang, David H. Laidlaw, and Steven Salloway. Cognitive Impairment, Hippocampal Volume, and White Matter Integrity in CADASIL. In Proceedings of INS, 2007.

Demiralp, Cagatay, Song Zhang, David Tate, Stephen Correia, and David H. Laidlaw. Connectivity-aware Sectional Visualization of 3D DTI Volumes using Perceptual Flat-torus Coloring and Edge Rendering. In Proceedings of Eurographics, 2006, pp. 119-122. (pdf)

Zhang, Song and David H. Laidlaw. Sampling DTI Integral Curves based on DWI Forward Modeling. In Proceedings of the IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS), New York, NY, August-September 2006. (pdf)

Zhou, Wenjin, Peter G. Sibley, Song Zhang, David Tate, and David H. Laidlaw. Perceptual Coloring and 2D Sketching for Segmentation of Neural Pathways. In Siggraph 2006, Poster Compendium (BEST POSTER AWARD), August 2006, pp. 172. (pdf)

Zhang, Song, Stephen Correia, David F. Tate, and David H. Laidlaw. Correlating DTI Fiber Clusters with White Matter Anatomy. In ISMRM, 2006. (pdf)

Zhang, Song and David H. Laidlaw.
DTI Fiber Clustering and Cross-subject Cluster Analysis. In Proceedings of ISMRM, Miami, FL, May 2005. (pdf)

Simon, Jack, H., Song Zhang, David H. Laidlaw, D. E. Miller, M. Brown, J. Corboy, D. Singel, and J. Bennett. Strategy for Detecting Neuronal Fibers at Risk for Neurodegeneration In Earliest MS by Streamtube Tractography at 3T. In Proceedings of ISMRM, Miami, FL, May 2005. (pdf)

Zhang, Song, Jack H. Simon, David H. Laidlaw, Mark Brown, and David M. Miller. Visualization of the Interaction of Multiple Sclerosis Lesions with Adjacent White Matter Fibers using Streamtubes and Streamsurfaces. In IEEE Visualization Poster Compendium, October 2004. (pdf)

Zhang, Song and David H. Laidlaw.
DTI Fiber Clustering in the Whole Brain. In IEEE Visualization 2004 Poster Compendium, October 2004. (pdf)

Zhang, Song and David H. Laidlaw.
A Model for some Subcortical DTI Planar and Linear Anisotropy. In MICCAI 2004, September 2004. (pdf)

Zhang, Song and David H. Laidlaw.
Towards a Global Tractography-based Model of FA. In Workshop on aging connections: Advanded MRI of age related white matter changes in the brain. ISMRM, 2004. (pdf)

Acevedo, Daniel, Song Zhang, David H. Laidlaw, and Chris Bull. Color Rapid Prototyping for Diffusion Tensor MRI Visualization. In MICCAI 2004 Short Papers, September 2004. (pdf)

Ahrens, Eric T., J.M.Allman, E.Bush, David H. Laidlaw, and Song Zhang.
Comparative 3D Anatomy of the Prosimian Brain:DTI and Histological Studies. In Proceedings of the Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, 2004. (pdf)

Laidlaw, David H., Song Zhang, Mark Bastin, S. Correia, Steven Salloway, and Paul Malloy.
Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses. In Proceedings of the Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, 2004. (pdf)

Slavin, Vadim, David H. Laidlaw, Song Zhang, Robert Pelcovits, George Loriot, and Anderw Callan-Jones. Visualization of Topological Defects in Nematic Liquid Crystals Using Streamtubes, Streamsurfaces and Ellipsoids. In IEEE Visualization 2004 Poster Compendium, October 2004. (pdf)

Demiralp, Cagatay, David H. Laidlaw, Cullen Jackson, Daniel Keefe, and Song Zhang. Subjective Usefulness of CAVE and Fish Tank VR Display Systems for a Scientific Visualization Application. In IEEE Visualization Poster Compendium, Seattle, WA, 2003. (pdf)

DaSilva, Marco, Song Zhang, Cagatay Demiralp, and David H. Laidlaw.
Visualizing the Differences between Diffusion Tensor Volume Images. In Proceedings ISMRM Workshop in Diffusion MRI: Biophysical Issues, pages 237-238, March 2002. (pdf)

Zhang, Song and David H. Laidlaw.
Ellucidating Neural Structure in Diffusion Tensor MRI Volumes using Streamtubes and Streamsurfaces. In Proc. 9th International Society of MR in Medicine, April 2001. (pdf)

Zhang, Song, Cagatay Demiralp, Daniel Keefe, Marco DaSilva, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E. A. Chiocca, T. S. Deisboeck, and David H. Laidlaw.
An Immersive Virtual Environment for DT-MRI Volume Visualization Applications: a Case Study. In Proceedings of IEEE Visualization 2001, pages 437-440, October 2001. (pdf)

Zhang, Song, Cagatay Demiralp, Marco DaSilva, Daniel Keefe, David H. Laidlaw, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E.A. Chiocca, and T. S. Diesboeck.
Toward Application of Virtual Reality to Visualization of DT-MRI Volumes. In Proceedings MICCAI, October 2001. (pdf)