graynet
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Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
Consider supporting the following input formats Ants Cat Fslvbm
if qcache is not already run by the user for the atlas they chose, run it locally.
It would be useful for users to offer a toolbox-independent format specify volumetric voxelwise probabilistic images. Two possible options are 1. folder of folders with a fixed file name (`prob.nii`?)...
to ensure histogram computation is commensurable across all subjects (who may potentially different ranges even for the same feature), we need to use a *fixed* edge range for all subjects....
as no smoothing is involved as well as node sizes, we must remove the `smoothing{}_size{}` from the output file names
document draw3dnx, and improve the demo further