Implementation for Residual Registration Network (R2Net)
Please cite the following if you are using any part of this code:
[1] Joshi, A. & Hong, Y.. (2022). Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks. Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, in Proceedings of Machine Learning Research 172:605-617 Available from https://proceedings.mlr.press/v172/joshi22a.html.
[2] Ankita Joshi, Yi Hong, R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networks, Medical Image Analysis, 2023, 102917, ISSN 1361-8415, https://doi.org/10.1016/j.media.2023.102917. https://www.sciencedirect.com/science/article/pii/S1361841523001779)