Searching for authors named "Song Zhang" – sorted by Relevance.
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Elucidating Neural Structure in Diffusion Tensor MRI Volumes using Streamtubes and Streamsurfaces
- Song ZHANG 1 , David LAIDLAW 1 , 1 Brown University, Department of Computer Science, Providence, RI USA
- Cited by 4 (2 self) – Add To MetaCart
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Hierarchical Clustering of Streamtubes
- 02912; {sz,dhl}@(email omitted); Song Zhang David H. Laidlaw ∗ 2.1 Generating streamtubes The algorithm
- Cited by 3 (1 self) – Add To MetaCart
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High resolution tracking of non-rigid 3D motion of densely sampled data using harmonic maps
- Wang 1 , Mohit Gupta 1 , Song Zhang 2 ,SenWang 1 ,XianfengGu 1 , Dimitris Samaras 1 , Peisen Huang 2 1
- Cited by 4 (0 self) – Add To MetaCart
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Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces
- Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces Song Zhang, Çagatay Demiralp
- Cited by 36 (14 self) – Add To MetaCart
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Visualization of the Interaction of Multiple Sclerosis Lesions with Adjacent White Matter Fibers Using Streamtubes and Streamsurfaces
- Using Streamtubes and Streamsurfaces Song Zhang David Laidlaw Brown University Jack Simon Mark Brown
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Subjective Usefulness of CAVE and Fish Tank VR Display Systems for a Scientific Visualization Application
- Application 1 Introduction Ça˘gatay Demiralp David H. Laidlaw Cullen Jackson Daniel Keefe Song Zhang �cad, dhl
- Cited by 8 (3 self) – Add To MetaCart
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Interactive Volume Rendering of Thin Thread Structures within Multivalued Scientific Datasets
- within Multivalued Scientific Datasets Andreas Wenger, Daniel F. Keefe, Song Zhang, David H. Laidlaw
- Cited by 8 (2 self) – Add To MetaCart
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Linear Anisotropy Region Planar Anisotropy Region Planar Anisotropy
- Application of DTI Visualization and Analysis on a Data Set from a Brain Tumor Patient Song Zhang
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Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses
- Analyses David H. Laidlaw 1 , Song Zhang 1 , Mark Bastin 2,3 , Stephen Correia 4 , Stephen Salloway4 5
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A Hierarchical Framework For High Resolution Facial Expression Tracking
- A Hierarchical Framework For High Resolution Facial Expression Tracking Xiaolei Huang 1 , Song
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