Gaussianmorph: deformable medical image registration with Gaussian noise constraints

Hu Y, Modat M, Gibson E, Li W, Ghavami N, Bonmati E, Wang G, Bandula S, Moore CM, Emberton M. Weakly-supervised convolutional neural networks for multimodal image registration. Med Image Anal. 2018;49:1–13.

Article  Google Scholar 

Shan S, Yan W, Guo X, Chang EI, Fan Y, Xu Y, et al. Unsupervised end-to-end learning for deformable medical image registration. arXiv preprint arXiv:1711.08608 2017.

Wu L, Hu S, Wang D, Liu C, Wang L. Rclanet: an explainable alzheimer’s disease diagnosis framework by joint registration and classification. IEEE J Biomed Health Informat. 2023.

Li M, Hu S, Li G, Zhang F, Li J, Yang Y, Zhang L, Liu M, Xu Y, Fu D. The successive next network as augmented regularization for deformable brain mr image registration. Sensors. 2023;23(6):3208.

Article  Google Scholar 

Yang Y, Hu S, Zhang L, Shen D. Deep learning based brain mri registration driven by local-signed-distance fields of segmentation maps. Med Phys. 2023;50(8):4899–915.

Article  Google Scholar 

Kim B, Han I, Ye JC. Diffusemorph: Unsupervised deformable image registration using diffusion model. In: European Conference on Computer Vision, 2022;347–364. Springer.

Zhang X, Pak DH, Ahn SS, Li X, You C, Staib L, Sinusas AJ, Wong A, Duncan JS. Heteroscedastic uncertainty estimation for probabilistic unsupervised registration of noisy medical images. arXiv preprint arXiv:2312.00836 2023.

Tomczak A, Gupta A, Ilic S, Navab N, Albarqouni S. What can we learn about a generated image corrupting its latent representation? In: International conference on medical image computing and computer-assisted intervention, 2022;505–515. Springer.

Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y. Generative adversarial nets. Adv Neural Inf Process Syst 2014;27.

Hu J, Gan W, Sun Z, An H, Kamilov US. A plug-and-play image registration network. arXiv preprint arXiv:2310.04297 2023.

Zhu M, Zhang X, Zhang L, Li G, Hu S, Wang Y, Wang L. Tst-network: A two-stage mutually reinforcing deep learning network for brain mr registration. In: Proceedings of the 2022 4th International conference on robotics, intelligent control and artificial intelligence, 2022;951–956.

Balakrishnan G, Zhao A, Sabuncu MR, Guttag J, Dalca AV. Voxelmorph: a learning framework for deformable medical image registration. IEEE Trans Med Imag. 2019;38(8):1788–800.

Article  Google Scholar 

Hu J, Shen L, Sun G. Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2018;7132–7141.

Balakrishnan G, Zhao A, Sabuncu MR, Guttag J, Dalca AV. An unsupervised learning model for deformable medical image registration. In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2018;9252–9260.

Wu L, Hu S, Liu C. Exponential-distance weights for reducing grid-like artifacts in patch-based medical image registration. Sensors. 2021;21(21):7112.

Article  Google Scholar 

Shattuck DW, Mirza M, Adisetiyo V, Hojatkashani C, Salamon G, Narr KL, Poldrack RA, Bilder RM, Toga AW. Construction of a 3d probabilistic atlas of human cortical structures. Neuroimage. 2008;39(3):1064–80.

Article  Google Scholar 

Alexander LM, Escalera J, Ai L, Andreotti C, Febre K, Mangone A, Vega-Potler N, Langer N, Alexander A, Kovacs M. An open resource for transdiagnostic research in pediatric mental health and learning disorders. Sci Data. 2017;4(1):1–26.

Article  Google Scholar 

Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage. 2012;62(2):782–90.

Article  Google Scholar 

Kuang D, Schmah T. Faim–a convnet method for unsupervised 3d medical image registration. In: Machine learning in medical imaging: 10th international workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. 2019;10:646–654. Springer.

Muyan-Ozcelik P, Owens JD, Xia J, Samant SS. Fast deformable registration on the gpu: A cuda implementation of demons. In: Int Conf Comput Sci Appl. (ICCSA), 2008;223–233.

Avants BB, Epstein CL, Grossman M, Gee JC. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal. 2008;12(1):26–41.

Article  Google Scholar 

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