Analysis toolbox for the convolutional/deep learning based analysis of white matter fiber tracts properties - with application mainly to diffusion MRI data
Notes:
- In average 2.76 (+/- 2.15) fibers have missing data - set holdout tracts to 7 (mean + 2 * stdev)
- run: python evaluate_imputation.py --holdout-tracts 7 --siren-epochs 500 FiberAxisProfiles_merged.vtk
- best performance with 200 epochs and omage 0 = 10 , over 200 epochs the INR starts overfitting (which is an issue as many missing tract information need extrapolation)