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Results by year
Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2019 | 3 |
2021 | 2 |
2022 | 3 |
2023 | 2 |
2024 | 0 |
Search Results
7 results
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Page 1
Spatial adaptive and transformer fusion network (STFNet) for low-count PET blind denoising with MRI.
Med Phys. 2022 Jan;49(1):343-356. doi: 10.1002/mp.15368. Epub 2021 Dec 10.
Med Phys. 2022.
PMID: 34796526
Deep learning-based dynamic PET parametric Ki image generation from lung static PET.
Wang H, Wu Y, Huang Z, Li Z, Zhang N, Fu F, Meng N, Wang H, Zhou Y, Yang Y, Liu X, Liang D, Zheng H, Mok GSP, Wang M, Hu Z.
Wang H, et al.
Eur Radiol. 2023 Apr;33(4):2676-2685. doi: 10.1007/s00330-022-09237-w. Epub 2022 Nov 18.
Eur Radiol. 2023.
PMID: 36399164
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Accurate total-body Ki parametric imaging with shortened dynamic 18 F-FDG PET scan durations via effective data processing.
Chen Z, Cheng Z, Duan Y, Zhang Q, Zhang N, Gu F, Wang Y, Zhou Y, Wang H, Liang D, Zheng H, Hu Z.
Chen Z, et al.
Med Phys. 2023 Apr;50(4):2121-2134. doi: 10.1002/mp.15893. Epub 2022 Aug 23.
Med Phys. 2023.
PMID: 35950784
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Technical Note: A preliminary study of dual-tracer PET image reconstruction guided by FDG and/or MR kernels.
Wang H, Huang Z, Zhang Q, Gao D, OuYang Z, Liang D, Liu X, Yang Y, Zheng H, Hu Z.
Wang H, et al.
Med Phys. 2021 Sep;48(9):5259-5271. doi: 10.1002/mp.15089. Epub 2021 Jul 29.
Med Phys. 2021.
PMID: 34252216
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Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests.
Gu P, Jiang C, Ji M, Zhang Q, Ge Y, Liang D, Liu X, Yang Y, Zheng H, Hu Z.
Gu P, et al.
Sensors (Basel). 2019 Jan 8;19(1):207. doi: 10.3390/s19010207.
Sensors (Basel). 2019.
PMID: 30626109
Free PMC article.
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Image reconstruction for positron emission tomography based on patch-based regularization and dictionary learning.
Zhang W, Gao J, Yang Y, Liang D, Liu X, Zheng H, Hu Z.
Zhang W, et al.
Med Phys. 2019 Nov;46(11):5014-5026. doi: 10.1002/mp.13804. Epub 2019 Sep 20.
Med Phys. 2019.
PMID: 31494950
Free PMC article.
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Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.
Hu Z, Jiang C, Sun F, Zhang Q, Ge Y, Yang Y, Liu X, Zheng H, Liang D.
Hu Z, et al.
Med Phys. 2019 Apr;46(4):1686-1696. doi: 10.1002/mp.13415. Epub 2019 Feb 14.
Med Phys. 2019.
PMID: 30697765
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