This repository includes several code examples presenting how implicit neural representations (INRs) can be used for brain image registration.
INRs serve as a continuous, coordinate-based approximation of the deformation field obtained through a multi-layer perceptron.
In our work, we investigated various registration approaches based on implicit networks.
- example_custom presents a simple pytorch code illustrating how to perform the registration with a SIREN model.
If you find this repository useful for your work, consider citing our paper (bibtex):
We used the publically available Mindboggle dataset for the experiments:
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