To run the notebooks make sure you are using the meld_environment and you have also installed these additionals packages :
- umap-learn
pip install umap-learn
Overview figure, composite of:
- Native subject meshes plot_one_subject_native.ipynb
- ComBat images age_curves.ipynb
- Left right asymmetry diagram asymmetry_synth.ipynb
- Cohorts from demographics_tables.ipynb
- Predictions from plotting_subjects_figure_8.ipynb
- UMAP from umaps.ipynb
Combat normalisation:
- age_curves.ipynb
Features as a function of geodesic distance from the lesion
- Analyse_features_distance.ipynb
UMAPs of manually-delineated lesion masks
- umaps.ipynb
Classifier predictions for individual subjects
- plotting_subjects_figure_3.ipynb
Logistic regression analyses
- read_results.ipynb
UMAPs of predicted lesions
- umaps.ipynb
Single subject saliency and MRIs
- plotting_subjects_figure_8.ipynb
Demographics tables
- demographics_tables.ipynb
Results tables
- read_results.ipynb
Subgroup results tables
- read_results.ipynb