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arefks 748f48e806 changed the flip in the anat step of the registration, changed it back to before hai 2 meses
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.ipynb_checkpoints e8e54e0207 current state: code is finished for representation hai 5 meses
AIDAmri @ 8e7f9d3597 13cb663094 added all of the code necessery hai 4 meses
mouse_connectivity e8e54e0207 current state: code is finished for representation hai 5 meses
Big_data_mouse_practical_2020_answer.ipynb e8e54e0207 current state: code is finished for representation hai 5 meses
GetQuantitativeValues.py a6c636f3fb intermideiat step hai 3 meses
README.md 13cb663094 added all of the code necessery hai 4 meses
correlation_between_bahavior_and_DTI.py 132437cf05 final results hai 2 meses
correlation_between_bahavior_and_DTI_anovaSpecific.py 132437cf05 final results hai 2 meses
heat_maps_correlation.py 164f8d841f intermidiate step hai 2 meses
incooparate_behavior_data.py 132437cf05 final results hai 2 meses
mask2MTPL.py 13cb663094 added all of the code necessery hai 4 meses
overlayPlot.py 86fce3a119 current state: code is finished for representation hai 5 meses
plotting_quantitative_dti_values.py 132437cf05 final results hai 2 meses
proof_of_modalities.py 9bcdec0ea4 added overlap percentage csv hai 3 meses
register_masks.py 748f48e806 changed the flip in the anat step of the registration, changed it back to before hai 2 meses
remapping_voiting_qc.py 18752865ca changed voitign with script to have additional columns hai 2 meses
statsmodel_training.py 63701b1cca code ready for: mixed model analysis and the post hoc tests nad figures with their relevant outputs. also code and results ready for heatmaps of the behavioral and dwi values correlations hai 2 meses
transpose_csv.py 63701b1cca code ready for: mixed model analysis and the post hoc tests nad figures with their relevant outputs. also code and results ready for heatmaps of the behavioral and dwi values correlations hai 2 meses
viralTracing2MTPL.py 2e82796756 added viraltracin 2 mtpl space filp function hai 4 meses

README.md

AIDAmri code

This is the code used to process raw Bruker data and to apply transformations from the drawn masks to each individual subject. Note that this is a subdataset linked to the GitHub page of AIDAmri.

The link to the exact branch of the code which was used for this process is: AIDAmri - SND_Mask_trafu branch.

Example usage of code

root@9c22c56092e5:/aida/DATA/code# python mask2MTPL.py -i /aida/DATA/output/Tract_Density -o /aida/DATA/output/Nifti_Tract_density_registered