python train.py --model="2d or 3d" --config_file="path to config file"

python test.py --model="2d or 3d" --config_file="path to config file" --redu_remove --use_best --num_out=num ts to be retained

@article{bhalodia2021leveraging,
title = {Leveraging unsupervised image registration for discovery of landmark shape descriptor},
journal = {Medical Image Analysis},
volume = {73},
pages = {102157},
year = {2021},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2021.102157},
url = {https://www.sciencedirect.com/science/article/pii/S1361841521002036},
author = {Riddhish Bhalodia and Shireen Elhabian and Ladislav Kavan and Ross Whitaker}
}

@inproceedings{bhalodia2020self,
  title={Self-supervised discovery of anatomical shape landmarks},
  author={Bhalodia, Riddhish and Kavan, Ladislav and Whitaker, Ross T},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={627--638},
  year={2020},
  organization={Springer}
}