147 related articles for article (PubMed ID: 33120378)
1. DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging.
Huang Z; Chen Z; Chen J; Lu P; Quan G; Du Y; Li C; Gu Z; Yang Y; Liu X; Zheng H; Liang D; Hu Z
Phys Med Biol; 2021 Jan; 66(1):015005. PubMed ID: 33120378
[TBL] [Abstract][Full Text] [Related]
2. Domain-adaptive denoising network for low-dose CT via noise estimation and transfer learning.
Wang J; Tang Y; Wu Z; Tsui BMW; Chen W; Yang X; Zheng J; Li M
Med Phys; 2023 Jan; 50(1):74-88. PubMed ID: 36018732
[TBL] [Abstract][Full Text] [Related]
3. Unsupervised low-dose CT denoising using bidirectional contrastive network.
Zhang Y; Zhang R; Cao R; Xu F; Jiang F; Meng J; Ma F; Guo Y; Liu J
Comput Methods Programs Biomed; 2024 Jun; 251():108206. PubMed ID: 38723435
[TBL] [Abstract][Full Text] [Related]
4. Low-dose CT denoising with a high-level feature refinement and dynamic convolution network.
Yang S; Pu Q; Lei C; Zhang Q; Jeon S; Yang X
Med Phys; 2023 Jun; 50(6):3597-3611. PubMed ID: 36542402
[TBL] [Abstract][Full Text] [Related]
5. Learning low-dose CT degradation from unpaired data with flow-based model.
Liu X; Liang X; Deng L; Tan S; Xie Y
Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
[TBL] [Abstract][Full Text] [Related]
6. Total-body low-dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism.
Fu M; Duan Y; Cheng Z; Qin W; Wang Y; Liang D; Hu Z
Med Phys; 2023 May; 50(5):2971-2984. PubMed ID: 36542423
[TBL] [Abstract][Full Text] [Related]
7. Two stage residual CNN for texture denoising and structure enhancement on low dose CT image.
Huang L; Jiang H; Li S; Bai Z; Zhang J
Comput Methods Programs Biomed; 2020 Feb; 184():105115. PubMed ID: 31627148
[TBL] [Abstract][Full Text] [Related]
8. X-ray CT image denoising with MINF: A modularized iterative network framework for data from multiple dose levels.
Du Q; Tang Y; Wang J; Hou X; Wu Z; Li M; Yang X; Zheng J
Comput Biol Med; 2023 Jan; 152():106419. PubMed ID: 36527781
[TBL] [Abstract][Full Text] [Related]
9. Structure-preserved meta-learning uniting network for improving low-dose CT quality.
Zhu M; Mao Z; Li D; Wang Y; Zeng D; Bian Z; Ma J
Phys Med Biol; 2022 Dec; 67(24):. PubMed ID: 36351294
[No Abstract] [Full Text] [Related]
10. Semi-supervised iterative adaptive network for low-dose CT sinogram recovery.
Wang L; Meng M; Chen S; Bian Z; Zeng D; Meng D; Ma J
Phys Med Biol; 2024 Apr; 69(8):. PubMed ID: 38422540
[No Abstract] [Full Text] [Related]
11. A novel denoising method for low-dose CT images based on transformer and CNN.
Zhang J; Shangguan Z; Gong W; Cheng Y
Comput Biol Med; 2023 Sep; 163():107162. PubMed ID: 37327755
[TBL] [Abstract][Full Text] [Related]
12. Probabilistic self-learning framework for low-dose CT denoising.
Bai T; Wang B; Nguyen D; Jiang S
Med Phys; 2021 May; 48(5):2258-2270. PubMed ID: 33621348
[TBL] [Abstract][Full Text] [Related]
13. MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging.
Liu J; Kang Y; Xia Z; Qiang J; Zhang J; Zhang Y; Chen Y
Comput Methods Programs Biomed; 2022 Jun; 221():106851. PubMed ID: 35576686
[TBL] [Abstract][Full Text] [Related]
14. Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information.
Tang C; Li J; Wang L; Li Z; Jiang L; Cai A; Zhang W; Liang N; Li L; Yan B
Comput Math Methods Med; 2019; 2019():8639825. PubMed ID: 31885686
[TBL] [Abstract][Full Text] [Related]
15. Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network.
Yi X; Babyn P
J Digit Imaging; 2018 Oct; 31(5):655-669. PubMed ID: 29464432
[TBL] [Abstract][Full Text] [Related]
16. Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning.
Li M; Wang J; Chen Y; Tang Y; Wu Z; Qi Y; Jiang H; Zheng J; Tsui BMW
IEEE Trans Med Imaging; 2023 Sep; 42(9):2616-2630. PubMed ID: 37030685
[TBL] [Abstract][Full Text] [Related]
17. Texture-aware dual domain mapping model for low-dose CT reconstruction.
Wang H; Zhao X; Liu W; Li LC; Ma J; Guo L
Med Phys; 2022 Jun; 49(6):3860-3873. PubMed ID: 35297051
[TBL] [Abstract][Full Text] [Related]
18. 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
Med Phys; 2019 Apr; 46(4):1686-1696. PubMed ID: 30697765
[TBL] [Abstract][Full Text] [Related]
19. Noise2Context: Context-assisted learning 3D thin-layer for low-dose CT.
Zhang Z; Liang X; Zhao W; Xing L
Med Phys; 2021 Oct; 48(10):5794-5803. PubMed ID: 34287948
[TBL] [Abstract][Full Text] [Related]
20. Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
Zhu H; Tong D; Zhang L; Wang S; Wu W; Tang H; Chen Y; Luo L; Zhu J; Li B
Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):193-201. PubMed ID: 31673961
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
