Implementation for metamorphic image registration network (MetaRegNet)
Paper Link: https://arxiv.org/abs/2303.09088
Please cite the following if you are using any part of this code:
[1] Ankita Joshi, and Yi Hong. "MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks." arXiv preprint arXiv:2303.09088 (2023).
[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
[3] Ankita Joshi, Yi Hong, Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks, Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:605-617, 2022. https://proceedings.mlr.press/v172/joshi22a.html