Nicolas Honnorat
Research Associate
University of PennsylvaniaHome
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Copyright 2018 Nicolas Honnorat
Copyright 2018 Nicolas Honnorat
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TORII is a Matlab toolbox for the computation of Riccati-regularized inverse covariance matrices (precision matrices). This toolbox was developed for handling large rank deficient measurements, such as resting-state fMRI scans. |
| TORII 1.1.0 | zip | tar.gz | matlab toolbox |
Riccati-regularized Precision Matrices for Neuroimaging.Information Processing in Medical Imaging (IPMI) 2017 275-86
GraSP was initially proposed to reduce the spatial dimension of resting-state fMRI scans by parcellating the cortex into regions where the BOLD signal is strongly coherent. Several improvements were introduced in the original framework, such as a hierarchical implementation able to handle large 4D rs-fMRI scans, and the possibility to parcellate DTI tractograms.
more details in the project page| GraSP 2.0.0 | zip | tar.gz | pure C++, handles nifti images |
| GraSP 1.0.0 | zip | tar.gz | matlab (data pre-processing) and C++ (parcellation) |
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| Parcellations of the cortex. [A] medial surface [B] temporal surface | ||||
Subject-specific Structural Parcellations Based on Randomized AB-divergences.International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017
sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain.Journal of neuroscience methods 2017 277:1-20
GraSP: geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex.NeuroImage 2015 106:207-21