zenodoopen
Track-to-Learn: A general framework for tractography with deep reinforcement learning
<p>Datasets used in the experiments presented in Track-to-Learn: A general framework for tractography using deep reinforcement learning</p> <p>See https://github.com/scil-vital/TrackToLearn to use the datasets and recreate the experiments.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0
Topics
ScienceDex for faculty
Your academic CV and NIH biosketch
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