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Learning deformable image registration from optimization: perspective, modules, bilevel training and beyond
R Liu, Z Li, X Fan, C Zhao, H Huang, Z Luo
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7688 …, 2022
Bi-level probabilistic feature learning for deformable image registration
R Liu, Z Li, Y Zhang, X Fan, Z Luo
Proceedings of the Twenty-Ninth International Conference on International …, 2020
Automated learning for deformable medical image registration by jointly optimizing network architectures and objective functions
X Fan, Z Li, Z Li, X Wang, R Liu, Z Luo, H Huang
IEEE Transactions on Image Processing, 2023
Coupling principled refinement with bi-directional deep estimation for robust deformable 3D medical image registration
Y Zhang, R Liu, Z Li, Z Liu, X Fan, Z Luo
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 86-90, 2020
Coupling deep deformable registration with contextual refinement for semi-supervised medical image segmentation
Z Li, Z Li, R Liu, Z Luo, X Fan
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
Z Li, L Tian, TCW Mok, X Bai, P Wang, J Ge, J Zhou, L Lu, X Ye, K Yan, ...
International conference on medical image computing and computer-assisted …, 2023
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization
TCW Mok, Z Li, Y Xia, J Yao, L Zhang, J Zhou, L Lu
The 14th International Workshop on Machine Learning in Medical Imaging (MLMI …, 2023
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
TCW Mok, Z Li, Y Bai, J Zhang, W Liu, YJ Zhou, K Yan, D Jin, Y Shi, X Yin, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2024
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation
L Tian, Z Li, F Liu, X Bai, J Ge, L Lu, M Niethammer, X Ye, K Yan, D Jin
arXiv preprint arXiv:2311.14986, 2023
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images
X Bai, F Bai, X Huo, J Ge, TCW Mok, Z Li, M Xu, J Zhou, L Lu, D Jin, X Ye, ...
arXiv preprint arXiv:2307.03535, 2023
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