Jinman Kim. “Correlation-Aware Coarse-to-Fine MLPs for Deformable Medical Image Registration,” 9645–54, 2024. https://openaccess.thecvf.com/content/CVPR2024/html/Meng_Correlation-aware_Coarse-to-fine_MLPs_for_Deformable_Medical_Image_Registration_CVPR_2024_paper.html. 2. [SyN] Avants, B. B., C. L. Epstein, M. Grossman, and J. C. Gee. “Symmetric Diffeomorphic Image Registration with Cross-Correlation: Evaluating Automated Labeling of Elderly and Neurodegenerative Brain.” Medical Image Analysis 12, no. 1 (February 2008): 26–41. https://doi.org/10.1016/j.media.2007.06.004. 3. [STNs] Jaderberg, Max, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu. “Spatial Transformer Networks.” arXiv, February 4, 2016. https://doi.org/10.48550/arXiv.1506.02025. 4. [TransMorph] Chen, Junyu, Eric C. Frey, Yufan He, William P. Segars, Ye Li, and Yong Du. “TransMorph: Transformer for Unsupervised Medical Image Registration.” Medical Image Analysis 82 (November 2022): 102615. https://doi.org/10.1016/j.media.2022.102615. 5. [RCN] Zhao, Shengyu, Yue Dong, Eric I.-Chao Chang, and Yan Xu. “Recursive Cascaded Networks for Unsupervised Medical Image Registration,” 10600–610, 2019. https://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_Recursive_Cascaded_Networks_for_Unsupervised_Medical_Image_Registration_ICCV_2019_paper.html. 6. Kang, Miao, Xiaojun Hu, Weilin Huang, Matthew R. Scott, and Mauricio Reyes. “Dual-Stream Pyramid Registration Network.” Medical Image Analysis 78 (May 1, 2022): 102379. https://doi.org/10.1016/j.media.2022.102379. 7. Hammoudeh, Ahmad, and Stéphane Dupont. “Deep Learning in Medical Image Registration: Introduction and Survey.” arXiv, January 10, 2024. https://doi.org/10.48550/arXiv.2309.00727. 8. Chen, Junyu, Yihao Liu, Shuwen Wei, Zhangxing Bian, Shalini Subramanian, Aaron Carass, Jerry L. Prince, and Yong Du. “A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond.” arXiv, September 12, 2023. https://doi.org/10.48550/arXiv.2307.15615.