Skip to content

Add TractOracleRL MICCAI link #46

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
AntoineTheb merged 2 commits into from
Dec 17, 2024
Merged

Add TractOracleRL MICCAI link #46

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
dbde073
doc: add link to miccai paper
levje Dec 17, 2024
91cdba9
doc: clean bibtex
levje Dec 17, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 12 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -119,16 +119,16 @@ Contributions are welcome ! There are several TODOs sprinkled through the projec

### TractOracle-RL (2024b)

> Théberge, A., Descoteaux, M., & Jodoin, P. M. (2024). TractOracle: towards an anatomically-informed reward function for RL-based tractography. Submitted to MICCAI 2024.
> Théberge, A., Descoteaux, M., & Jodoin, P. M. (2024). TractOracle: towards an anatomically-informed reward function for RL-based tractography. Accepted at MICCAI 2024.

The reference commit to the `main` brain for this work is `0fb20306edc32b6015fbfe9b79677015cd0602cf`. Please use this commit as starting point if you want to build upon Track-to-Learn (TractOracle-RL). See README above for usage.

See the conference paper (open-access version): https://papers.miccai.org/miccai-2024/paper/1898_paper.pdf

See preprint: https://arxiv.org/pdf/2403.17845.pdf

See additional data: https://zenodo.org/doi/10.5281/zenodo.10931313

Conference paper (hopefully) coming soon.

### What matters in Reinforcement Learning for Tractography (2024a)

> Théberge, A., Desrosiers, C., Boré, A., Descoteaux, M., & Jodoin, P. M. (2024). What matters in reinforcement learning for tractography. Medical Image Analysis, 93, 103085.
Expand Down Expand Up @@ -165,6 +165,15 @@ A bug in the original implementation prevents the reproduction of the published
If you want to reference this work, please use (at least) one of

```
@inproceedings{theberge2024tractoracle,
title={TractOracle: towards an anatomically-informed reward function for RL-based tractography},
author={Th{\'e}berge, Antoine and Descoteaux, Maxime and Jodoin, Pierre-Marc},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={476--486},
year={2024},
organization={Springer}
}

@article{theberge2024matters,
title={What matters in reinforcement learning for tractography},
author={Th{\'e}berge, Antoine and Desrosiers, Christian and Bor{\'e}, Arnaud and Descoteaux, Maxime and Jodoin, Pierre-Marc},
Expand Down
Loading