TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43999-5_18
Reference33 articles.
1. Chen, W.: Clinical applications of PET in brain tumors. J. Nucl. Med. 48(9), 1468–1481 (2007)
2. Wang, Y., Ma, G., An, L., et al.: Semi-supervised tripled dictionary learning for standard-dose PET image prediction using low-dose PET and multimodal MRI. IEEE Trans. Biomed. Eng. 64(3), 569–579 (2016)
3. Zhou, T., Fu, H., Chen, G., et al.: Hi-net: hybrid-fusion network for multi-modal MR image synthesis. IEEE Trans. Med. Imaging 39(9), 2772–2781 (2020)
4. Li, Y., Zhou, T., He, K., et al.: Multi-scale transformer network with edge-aware pre-training for cross-modality MR image synthesis. IEEE Trans. Med. Imaging (2023)
5. Lecture Notes in Computer Science;K Wang,2021
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