These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
177 related articles for article (PubMed ID: 36939784)
1. Strided Self-Supervised Low-Dose CT Denoising for Lung Nodule Classification. Lei Y; Zhang J; Shan H Phenomics; 2021 Dec; 1(6):257-268. PubMed ID: 36939784 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Unpaired low-dose computed tomography image denoising using a progressive cyclical convolutional neural network. Li Q; Li R; Li S; Wang T; Cheng Y; Zhang S; Wu W; Zhao J; Qiang Y; Wang L Med Phys; 2024 Feb; 51(2):1289-1312. PubMed ID: 36841936 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Weakly supervised low-dose computed tomography denoising based on generative adversarial networks. Liao P; Zhang X; Wu Y; Chen H; Du W; Liu H; Yang H; Zhang Y Quant Imaging Med Surg; 2024 Aug; 14(8):5571-5590. PubMed ID: 39144020 [TBL] [Abstract][Full Text] [Related]
6. QS-ADN: quasi-supervised artifact disentanglement network for low-dose CT image denoising by local similarity among unpaired data. Ruan Y; Yuan Q; Niu C; Li C; Yao Y; Wang G; Teng Y Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37708896 [TBL] [Abstract][Full Text] [Related]
7. A self-supervised guided knowledge distillation framework for unpaired low-dose CT image denoising. Wang J; Tang Y; Wu Z; Du Q; Yao L; Yang X; Li M; Zheng J Comput Med Imaging Graph; 2023 Jul; 107():102237. PubMed ID: 37116340 [TBL] [Abstract][Full Text] [Related]
9. Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching. Ko Y; Song S; Baek J; Shim H Med Phys; 2024 Jun; 51(6):4181-4200. PubMed ID: 38478305 [TBL] [Abstract][Full Text] [Related]
10. Self-supervised deep learning for joint 3D low-dose PET/CT image denoising. Zhao F; Li D; Luo R; Liu M; Jiang X; Hu J Comput Biol Med; 2023 Oct; 165():107391. PubMed ID: 37717529 [TBL] [Abstract][Full Text] [Related]
11. A two-stage deep-learning framework for CT denoising based on a clinically structure-unaligned paired data set. Hu R; Xie Y; Zhang L; Liu L; Luo H; Wu R; Luo D; Liu Z; Hu Z Quant Imaging Med Surg; 2024 Jan; 14(1):335-351. PubMed ID: 38223072 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Dual-scale similarity-guided cycle generative adversarial network for unsupervised low-dose CT denoising. Zhao F; Liu M; Gao Z; Jiang X; Wang R; Zhang L Comput Biol Med; 2023 Jul; 161():107029. PubMed ID: 37230021 [TBL] [Abstract][Full Text] [Related]
16. CCN-CL: A content-noise complementary network with contrastive learning for low-dose computed tomography denoising. Tang Y; Du Q; Wang J; Wu Z; Li Y; Li M; Yang X; Zheng J Comput Biol Med; 2022 Aug; 147():105759. PubMed ID: 35752116 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. A blind medical image denoising method with noise generation network. Fu B; Zhang X; Wang L; Ren Y; Thanh DNH J Xray Sci Technol; 2022; 30(3):531-547. PubMed ID: 35253724 [TBL] [Abstract][Full Text] [Related]
19. DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation. Meng M; Wang Y; Zhu M; Tao X; Mao Z; Liao J; Bian Z; Zeng D; Ma J IEEE J Biomed Health Inform; 2024 Jun; 28(6):3613-3625. PubMed ID: 38478459 [TBL] [Abstract][Full Text] [Related]
20. Statistical Image Restoration for Low-Dose CT using Convolutional Neural Networks Choi K; Kim S Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1303-1306. PubMed ID: 33018227 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]