214 related articles for article (PubMed ID: 33459686)
1. Dual residual convolutional neural network (DRCNN) for low-dose CT imaging.
Feng Z; Cai A; Wang Y; Li L; Tong L; Yan B
J Xray Sci Technol; 2021; 29(1):91-109. PubMed ID: 33459686
[TBL] [Abstract][Full Text] [Related]
2. A dual-domain neural network based on sinogram synthesis for sparse-view CT reconstruction.
Zhang P; Li K
Comput Methods Programs Biomed; 2022 Nov; 226():107168. PubMed ID: 36219892
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. Incorporation of residual attention modules into two neural networks for low-dose CT denoising.
Li M; Du Q; Duan L; Yang X; Zheng J; Jiang H; Li M
Med Phys; 2021 Jun; 48(6):2973-2990. PubMed ID: 33890681
[TBL] [Abstract][Full Text] [Related]
7. A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images.
Kim B; Han M; Shim H; Baek J
Med Phys; 2019 Sep; 46(9):3906-3923. PubMed ID: 31306488
[TBL] [Abstract][Full Text] [Related]
8. STEDNet: Swin transformer-based encoder-decoder network for noise reduction in low-dose CT.
Zhu L; Han Y; Xi X; Fu H; Tan S; Liu M; Yang S; Liu C; Li L; Yan B
Med Phys; 2023 Jul; 50(7):4443-4458. PubMed ID: 36708286
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Dual-domain fusion deep convolutional neural network for low-dose CT denoising.
Li Z; Liu Y; Chen Y; Shu H; Lu J; Gui Z
J Xray Sci Technol; 2023; 31(4):757-775. PubMed ID: 37212059
[TBL] [Abstract][Full Text] [Related]
13. Low-dose computed tomography image reconstruction via a multistage convolutional neural network with autoencoder perceptual loss network.
Li Q; Li S; Li R; Wu W; Dong Y; Zhao J; Qiang Y; Aftab R
Quant Imaging Med Surg; 2022 Mar; 12(3):1929-1957. PubMed ID: 35284282
[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. Low-dose CT noise reduction based on local total variation and improved wavelet residual CNN.
Liu Y; Kang J; Li Z; Zhang Q; Gui Z
J Xray Sci Technol; 2022; 30(6):1229-1242. PubMed ID: 36214031
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A novel denoising method for CT images based on U-net and multi-attention.
Zhang J; Niu Y; Shangguan Z; Gong W; Cheng Y
Comput Biol Med; 2023 Jan; 152():106387. PubMed ID: 36495750
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN).
Jiang Y; Yang C; Yang P; Hu X; Luo C; Xue Y; Xu L; Hu X; Zhang L; Wang J; Sheng K; Niu T
Phys Med Biol; 2019 Jul; 64(14):145003. PubMed ID: 31117060
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]