BRATS validation study/no public access

I am collaborating with MICCAI brain tumor segmentation challenge (BraTS) as a co-organizer for pediatric population analysis. The aim of the challenge is to evaluate the performance of algorithms developed for segmentation of adult brain tumors on pediatric data. The validation data (pediatric images) will not be publicly or privately shared outside of BraTS organizing committee who will be validating the algorithms on the data. The nifti files of MRI scans (T1 pre and post, T2, and FLAIR) of 10 anonymized DIPG subjects from the CBTN cohort (defaced using skull stripping method, and with C_IDs converted to a pseudo-name) will be shared with the BraTS committee to validate the algorithms.
The outcome of this collaboration will be to identify the algorithms that best perform on pediatric data and make their source codes available to public.