LONI Special Interest Group on Shapes, Networks and Paths (SIG-SNP)

SIG-SNP Members

• YonggangShi, JunningLi, Zhiguo (Tony) Jiang, IvoDinov
• SIG-SNP Chairs: YonggangShi and JunningLi
• SIG Groups: SIGs

Meeting Schedule

Project Outline

• The LONI SIG-SNP group aims to develop novel techniques, tools and protocols for analyzing multimodal structural, functional and diffusion data using shape modeling and statistical approaches.
• Independent inter-modalities studies involving separately computing various imaging markers from structural, functional and diffusion data are now-a-days well understood and supported by several neuroimaging suites of tools. The LONI SIG-SNP approach to multi-modal image fusion is to jointly model the multi-channel data and compute synchronous measures of shapes, connectivities and networks using the scalar, vector and tensor data types.

Tools

Data

• /ifs/ccb/data/MultiModal_BrainData_2011
• Study-Module/Design-Matrix Data-Source for Pipeline processing.

See also

• Junning Li's wiki project page
• Yonggang Shi's Project page
• SIG-WAVE
• Visualization of graphical genomics tabular multivariate data (e.g., Circos and Circos Web-Viewer)