A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images, Greve et al. (2021)
- Perform a sanity check on the evolution of the volumetry with respect to time (comparing sessions 1, 2 and 3 when available)
- Study the correlation with age, etc.
sclimbic_output
: folder that contains the outputs of the program for all the T1w images availables in the provided data folderDatabase.xlsx
: file that contains the subjetcts' data (age, MOCA score, etc.)data_exploration.ipynb
: Python notebook on which we have run our experiments