MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration

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2006

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Avants, B.B., Epstein, C.L., Grossman, M., Gee, J.C.: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Medical image analysis 12

2008

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Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: Voxelmorph: a learning framework for deformable medical image registration. IEEE transactions on medical imaging 38

2019

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Hoffmann, M., Billot, B., Greve, D.N., Iglesias, J.E., Fischl, B., Dalca, A.V.: Synthmorph: learning contrast-invariant registration without acquired images. IEEE transactions on medical imaging 41

2021

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Hoopes, A., Hoffmann, M., Fischl, B., Guttag, J., Dalca, A.V.: Hypermorph: Amortized hyperparameter learning for image registration. In: Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings 27. pp. 3–17. Springer (2021)

2021

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Kim, B., Kim, D.H., Park, S.H., Kim, J., Lee, J.G., Ye, J.C.: Cyclemorph: cycle consistent unsupervised deformable image registration. Medical image analysis 71

2021

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Liu, F., Yan, K., Harrison, A.P., Guo, D., Lu, L., Yuille, A.L., Huang, L., Xie, G., Xiao, J., Ye, X., et al.: Same: Deformable image registration based on self-supervised anatomical embeddings. In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV 24. pp. 87–97. Springer (2021)

2021

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Dey, N., Schlemper, J., Salehi, S.S.M., Zhou, B., Gerig, G., Sofka, M.: Contrareg: Contrastive learning of multi-modality unsupervised deformable image registration. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 66–77. Springer (2022)

2022

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Han, R., Jones, C.K., Lee, J., Wu, P., Vagdargi, P., Uneri, A., Helm, P.A., Luciano, M., Anderson, W.S., Siewerdsen, J.H.: Deformable mr-ct image registration using an unsupervised, dual-channel network for neurosurgical guidance. Medical image analysis 75

2022

Later among the works it cites.

Dou, H., Bi, N., Han, L., Huang, Y., Mann, R., Yang, X., Ni, D., Ravikumar, N., Frangi, A.F., Huang, Y.: Gsmorph: Gradient surgery for cine-mri cardiac deformable registration. arXiv preprint arXiv:2306.14687 (2023)

Original

2023

Later among the works it cites.

Joshi, A., Hong, Y.: R2net: Efficient and flexible diffeomorphic image registration using lipschitz continuous residual networks. Medical Image Analysis 89