scil-vital / TrackToLearn

Public release of Track-to-Learn: A general framework for tractography with deep reinforcement learning
GNU General Public License v3.0
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Can you provide some example input data to "create_dataset.py" #2

Closed YujianDiao closed 2 years ago

YujianDiao commented 3 years ago

HI, I am very interested in trying this model. I wonder if you could provide us some examples of the inputs (SH volumes, peaks,...) that are used to create the training dataset by "create_dataset.py" from Fibercup and/or ISMRM2015 Tractography challenge datasets? Thank you

AntoineTheb commented 3 years ago

Hi !

I plan to upload some data on Zenodo to accompany this repo soon. I will also update the README to add some info on how to use the data. I'll update you once this is done !

Thank you for your interest in Track-to-Learn !

FabianKTH commented 3 years ago

+1, a brief example with, e.g. public data would be beneficial to set up this pipeline. Great work.