ccb resources for shape modeling, analysis and visualization yonggang shi laboratory of neuro...
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CCB Resources for Shape Modeling, Analysis and CCB Resources for Shape Modeling, Analysis and VisualizationVisualization
Yonggang ShiYonggang ShiLaboratory of Neuro Imaging (LONI), UCLALaboratory of Neuro Imaging (LONI), UCLA
Shape Analysis ChallengesShape Analysis Challenges
Segmentation Segmentation -- Jonathan MorraJonathan Morra HARDI reconstructionHARDI reconstruction –– Vishal PatelVishal Patel Mapping 2D contours Mapping 2D contours -- Shantanu JoshiShantanu Joshi Mapping 3D surfaces Mapping 3D surfaces –– Yonggang ShiYonggang Shi
Software: LONI Pipeline Software: LONI Pipeline WorkflowsWorkflows
LONI Pipeline (LONI Pipeline (http://Pipeline.loni.ucla.edu/)
Machine Learning Based Approaches to Machine Learning Based Approaches to Subcortical SegmentationSubcortical Segmentation
Auto context model/AdaBoost is used to Auto context model/AdaBoost is used to automatically learn object affinities and represent automatically learn object affinities and represent image based features for the classificationimage based features for the classification
Modeling of HARDI and ODF Shape Statistics for Population Comparisons
HARDI: High-angular resolution diffusion imaging
ODF: Orientation distribution function
Direct 3D Shape Mapping & Shape Characterization
Shape Characterization With Laplace-Beltrami Eigen Spectra
CD Materials
README.html file PowerPoint Slides Folder Publications folder Pipeline Workflows folder Pipeline Client folder (V.4.3)
http://pipeline.loni.ucla.edu/downloads/ • OS X• Windows• Linux/Unix
Pipeline Neuroimaging Solutions Handbook
Shape AnalysisWorkshopISBI 2009
PPTs Pubs Workflows Pipeline Handbook