not just compare different feature sets with a fixed builtin model, but users can also input a model of their own choice. it does not limit exploration of new models or pipelines - they can use implementation of best practices while evaluating the such new models on features of their choice
Sonia, please check and test the following improved things in SlicerDMRI before you come to Slicer day on Aug 30, 2016. Please share your per-module and overall feedback in a google document.
Improvements to check:
-- Overall module category reorganization for Diffusion.
-- Module changes: names, categories, GUI labels and descriptions (tooltips).
-- All module help pages.
This pertains to #114. The documentation (chart; bottom left) creates confusion by suggesting that spatial normalization occurs in all instances, when in reality, it will only occur if user species --force-spatial-normalization or --use-syn-sdc/--force-syn
This repository extracts the tractograpic feature, other first-order features and the state-of-the-art feature from the stroke lesion. A random forest regressor is used with one type of feature to predict the modified Rankin Scale of stroke patients.
-shell list specify one or more diffusion-weighted gradient shells to use during processing, as a comma-separated list of the desired approximate b-values.
Similar to app-mrtrix3-preproc, we could update this App to always round bvals to the
Run the recommended preprocessing procedure provided by mrtrix3. The options available mostly reflect the optimal DESIGNER pipeline that was recently proposed. This App runs for >15 on topup if both PA and AP dwi files are provided. It detects bvecs flipping (dwigradcheck) and update the gradient table accordingly.
Description
As suggested on this comment, it would be good to have a function for generating random affine matrix.
This is just a reminder.