Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction-Reference-Cited by-同舟云学术

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Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction

Published:2024 Issue: Volume: Page:410-420
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Wang Guangming,Lyu Jun,Wang Fanwen,Wang Chengyan,Qin Jing

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-52448-6_39

Reference29 articles.

1. Aggarwal, H.K., Mani, M.P., Jacob, M.: MoDL: model-based deep learning architecture for inverse problems. IEEE Trans. Med. Imaging 38(2), 394–405 (2018)

2. Ahmed, A.H., Zhou, R., Yang, Y., Nagpal, P., Salerno, M., Jacob, M.: Free-breathing and ungated dynamic MRI using navigator-less spiral storm. IEEE Trans. Med. Imaging 39(12), 3933–3943 (2020)

3. Carreira, J., Zisserman, A.: Quo vadis, action recognition? A new model and the kinetics dataset. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6299–6308 (2017)

4. Guo, X., Guo, X., Lu, Y.: SSAN: separable self-attention network for video representation learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 12618–12627 (2021)

5. Hara, K., Kataoka, H., Satoh, Y.: Learning spatio-temporal features with 3D residual networks for action recognition. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 3154–3160 (2017)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Iterative Temporal-spatial Transformer-based Cardiac T1 Mapping MRI Reconstruction;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-08

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