Hu Z - Search Results

1

Image restoration of motion artifacts in cardiac arteries and vessels based on a generative adversarial network.

Deng F, Wan Q, Zeng Y, Shi Y, Wu H, Wu Y, Xu W, Mok GSP, Zhang X, Hu Z. Deng F, et al. Among authors: hu z. Quant Imaging Med Surg. 2022 May;12(5):2755-2766. doi: 10.21037/qims-20-1400. Quant Imaging Med Surg. 2022. PMID: 35502383 Free PMC article.

2

ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge.

Ge Y, Su T, Zhu J, Deng X, Zhang Q, Chen J, Hu Z, Zheng H, Liang D. Ge Y, et al. Among authors: hu z. Quant Imaging Med Surg. 2020 Feb;10(2):415-427. doi: 10.21037/qims.2019.12.12. Quant Imaging Med Surg. 2020. PMID: 32190567 Free PMC article.

3

An improved patch-based regularization method for PET image reconstruction.

Gao J, Liu Q, Zhou C, Zhang W, Wan Q, Hu C, Gu Z, Liang D, Liu X, Yang Y, Zheng H, Hu Z, Zhang N. Gao J, et al. Among authors: hu c, hu z. Quant Imaging Med Surg. 2021 Feb;11(2):556-570. doi: 10.21037/qims-20-19. Quant Imaging Med Surg. 2021. PMID: 33532256 Free PMC article.

4

LCPR-Net: low-count PET image reconstruction using the domain transform and cycle-consistent generative adversarial networks.

Xue H, Zhang Q, Zou S, Zhang W, Zhou C, Tie C, Wan Q, Teng Y, Li Y, Liang D, Liu X, Yang Y, Zheng H, Zhu X, Hu Z. Xue H, et al. Among authors: hu z. Quant Imaging Med Surg. 2021 Feb;11(2):749-762. doi: 10.21037/qims-20-66. Quant Imaging Med Surg. 2021. PMID: 33532274 Free PMC article.

5

Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network.

Deng F, Tie C, Zeng Y, Shi Y, Wu H, Wu Y, Liang D, Liu X, Zheng H, Zhang X, Hu Z. Deng F, et al. Among authors: hu z. J Xray Sci Technol. 2021;29(4):577-595. doi: 10.3233/XST-210841. J Xray Sci Technol. 2021. PMID: 33935130

6

PWLS-PR: low-dose computed tomography image reconstruction using a patch-based regularization method based on the penalized weighted least squares total variation approach.

Fu J, Feng F, Quan H, Wan Q, Chen Z, Liu X, Zheng H, Liang D, Cheng G, Hu Z. Fu J, et al. Among authors: hu z. Quant Imaging Med Surg. 2021 Jun;11(6):2541-2559. doi: 10.21037/qims-20-963. Quant Imaging Med Surg. 2021. PMID: 34079722 Free PMC article.

7

An iterative reconstruction method for sparse-projection data for low-dose CT.

Huang Y, Wan Q, Chen Z, Hu Z, Cheng G, Qi Y. Huang Y, et al. Among authors: hu z. J Xray Sci Technol. 2021;29(5):797-812. doi: 10.3233/XST-210906. J Xray Sci Technol. 2021. PMID: 34366362

8

The synthesis of high-energy CT images from low-energy CT images using an improved cycle generative adversarial network.

Zhou H, Liu X, Wang H, Chen Q, Wang R, Pang ZF, Zhang Y, Hu Z. Zhou H, et al. Among authors: hu z. Quant Imaging Med Surg. 2022 Jan;12(1):28-42. doi: 10.21037/qims-21-182. Quant Imaging Med Surg. 2022. PMID: 34993058 Free PMC article.

9

Inferring CT perfusion parameters and uncertainties using a Bayesian approach.

Sun T, Fulton R, Hu Z, Sutiono C, Liang D, Zheng H. Sun T, et al. Among authors: hu z. Quant Imaging Med Surg. 2022 Jan;12(1):439-456. doi: 10.21037/qims-21-338. Quant Imaging Med Surg. 2022. PMID: 34993092 Free PMC article.

10

Low-Dose 68 Ga-PSMA Prostate PET/MRI Imaging Using Deep Learning Based on MRI Priors.

Deng F, Li X, Yang F, Sun H, Yuan J, He Q, Xu W, Yang Y, Liang D, Liu X, Mok GSP, Zheng H, Hu Z. Deng F, et al. Among authors: hu z. Front Oncol. 2022 Jan 26;11:818329. doi: 10.3389/fonc.2021.818329. eCollection 2021. Front Oncol. 2022. PMID: 35155207 Free PMC article.

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