Published July 7, 2021 | Version v1

Track-to-Learn: A general framework for tractography with deep reinforcement learning

  • 1. Université de Sherbrooke
  • 2. École de technologie supérieure

Description

Datasets used in the experiments presented in Track-to-Learn: A general framework for tractography using deep reinforcement learning

See https://github.com/scil-vital/TrackToLearn to use the datasets and recreate the experiments.

Files

fibercup.zip

Files (4.7 GB)

Name Size
md5:457fc62a5f3490036e51e59cd5660a0a
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md5:f71e49b712871023ff768c81d9217689
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md5:0a907331d19787a6427a3def51bf4ca6
3.2 GB Preview Download
md5:8c407e9ef41a8100a04ed2bac0a6320b
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