Trained FIL model

The FIL model was trained on all 15 training subjects (fil15) from the MICCAI Challenge dataset, using a minimally informative, but proper Wishart prior, with v0=1.0. An augmentation search radius of 3 voxels was used with a Gaussian weighting standard deviation of 2.0 voxels. Patch sizes were 4x4x4 voxels, and four outer iterations were used for model training. Up to K=24 basis functions were available to encode each patch. This file is the result.A second model was trained on all 30 subjects (fil30) from the MICCAI Challenge dataset (35 scans, with repeat scans given a weighting of 0.5). Augmentation search radius was 2 voxels, with a Gaussian weighting standard deviation of 1.5 voxels. Other parameters remained the same as for fil15.