TractOracle-RL

Merge pull request #36 from scil-vital/atheb/tractoracle-rl-final

FIX: commit id

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

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

See trained models and results: https://zenodo.org/record/5080541

Bugs in the implementation prevent the full reproduction of results. Please refer to "What matters in reinforcement learning for tractography" for updated, reproducible, results.

What matters in reinforcement learning for Tractography

Release for "What matters in reinforcement learning for Tractography"

See preprint: https://arxiv.org/abs/2305.09041
Datasets: https://zenodo.org/record/7853832
Trained agents: https://zenodo.org/record/7853590

Incorporating anatomical priors into Track-to-Learn

Code for the abstract entitled "Incorporating anatomical priors into Track-to-Learn"

Data and trained models: https://zenodo.org/record/7153362