Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International  
(CC BY-NC-ND 4.0)

You are free to:

- **Share** — copy and redistribute the material in any medium or format

Under the following terms:

- **Attribution** — You must give appropriate credit, provide a link to the license, and indicate if changes were made.  
  You must cite the following publication when using the model weights:

  Walle, M., Eggemann, D., Atkins, P.R., Kendall, J.J., Stock, K., Müller, R. and Collins, C.J., 2023.  
  *Motion grading of high-resolution quantitative computed tomography supported by deep convolutional neural networks.*  
  Bone, 166, p.116607. https://doi.org/10.1016/j.bone.2022.116607

- **NonCommercial** — You may not use the material for commercial purposes.

- **NoDerivatives** — If you remix, transform, or build upon the material, you may not distribute the modified material.

- **No Additional Restrictions** — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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This license applies to the pretrained model weights.  
The accompanying code in this repository is licensed separately under the MIT License (see `LICENSE_CODE` if applicable).

To view a copy of this license, visit:  
https://creativecommons.org/licenses/by-nc-nd/4.0/
