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arefks 748f48e806 changed the flip in the anat step of the registration, changed it back to before 2 mesi fa
..
.ipynb_checkpoints e8e54e0207 current state: code is finished for representation 5 mesi fa
AIDAmri @ 8e7f9d3597 13cb663094 added all of the code necessery 4 mesi fa
mouse_connectivity e8e54e0207 current state: code is finished for representation 5 mesi fa
Big_data_mouse_practical_2020_answer.ipynb e8e54e0207 current state: code is finished for representation 5 mesi fa
GetQuantitativeValues.py a6c636f3fb intermideiat step 3 mesi fa
README.md 13cb663094 added all of the code necessery 4 mesi fa
correlation_between_bahavior_and_DTI.py 132437cf05 final results 2 mesi fa
correlation_between_bahavior_and_DTI_anovaSpecific.py 132437cf05 final results 2 mesi fa
heat_maps_correlation.py 164f8d841f intermidiate step 2 mesi fa
incooparate_behavior_data.py 132437cf05 final results 2 mesi fa
mask2MTPL.py 13cb663094 added all of the code necessery 4 mesi fa
overlayPlot.py 86fce3a119 current state: code is finished for representation 5 mesi fa
plotting_quantitative_dti_values.py 132437cf05 final results 2 mesi fa
proof_of_modalities.py 9bcdec0ea4 added overlap percentage csv 3 mesi fa
register_masks.py 748f48e806 changed the flip in the anat step of the registration, changed it back to before 2 mesi fa
remapping_voiting_qc.py 18752865ca changed voitign with script to have additional columns 2 mesi fa
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 2 mesi fa
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 2 mesi fa
viralTracing2MTPL.py 2e82796756 added viraltracin 2 mtpl space filp function 4 mesi fa

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