283 related articles for article (PubMed ID: 36560213)
1. Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network.
Liu Y; Anwar S; Qin Z; Ji P; Caldwell S; Gedeon T
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560213
[TBL] [Abstract][Full Text] [Related]
2. Self-supervised structural similarity-based convolutional neural network for cardiac diffusion tensor image denoising.
Yuan N; Wang L; Ye C; Deng Z; Zhang J; Zhu Y
Med Phys; 2023 Oct; 50(10):6137-6150. PubMed ID: 36775901
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Two-Stage CNN Model for Joint Demosaicing and Denoising of Burst Bayer Images.
Tan H; Xiao H; Liu Y; Zhang M
Comput Intell Neurosci; 2022; 2022():6200931. PubMed ID: 35419044
[TBL] [Abstract][Full Text] [Related]
5. An application of deep dual convolutional neural network for enhanced medical image denoising.
Sahu A; Rana KPS; Kumar V
Med Biol Eng Comput; 2023 May; 61(5):991-1004. PubMed ID: 36639550
[TBL] [Abstract][Full Text] [Related]
6. Rapid 2D
Baker RR; Muthurangu V; Rega M; Walsh SB; Steeden JA
Magn Reson Imaging; 2024 Jul; 110():184-194. PubMed ID: 38642779
[TBL] [Abstract][Full Text] [Related]
7. SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.
Tian Q; Li Z; Fan Q; Polimeni JR; Bilgic B; Salat DH; Huang SY
Neuroimage; 2022 Jun; 253():119033. PubMed ID: 35240299
[TBL] [Abstract][Full Text] [Related]
8. Deep learning on image denoising: An overview.
Tian C; Fei L; Zheng W; Xu Y; Zuo W; Lin CW
Neural Netw; 2020 Nov; 131():251-275. PubMed ID: 32829002
[TBL] [Abstract][Full Text] [Related]
9. A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images.
Zhao M; Wei Y; Wong KKL
Magn Reson Imaging; 2022 Jan; 85():153-160. PubMed ID: 34699953
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Denoising diffusion weighted imaging data using convolutional neural networks.
Cheng H; Vinci-Booher S; Wang J; Caron B; Wen Q; Newman S; Pestilli F
PLoS One; 2022; 17(9):e0274396. PubMed ID: 36108272
[TBL] [Abstract][Full Text] [Related]
13. Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges.
Nazir N; Sarwar A; Saini BS
Micron; 2024 May; 180():103615. PubMed ID: 38471391
[TBL] [Abstract][Full Text] [Related]
14. High-field mr diffusion-weighted image denoising using a joint denoising convolutional neural network.
Wang H; Zheng R; Dai F; Wang Q; Wang C
J Magn Reson Imaging; 2019 Dec; 50(6):1937-1947. PubMed ID: 31012226
[TBL] [Abstract][Full Text] [Related]
15. A Second-Order Method for Removing Mixed Noise from Remote Sensing Images.
Zhou Y; Ren C; Zhang S; Xue X; Liu Y; Lu J; Ding C
Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687999
[TBL] [Abstract][Full Text] [Related]
16. Attention-guided CNN for image denoising.
Tian C; Xu Y; Li Z; Zuo W; Fei L; Liu H
Neural Netw; 2020 Apr; 124():117-129. PubMed ID: 31991307
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.
Zhao T; McNitt-Gray M; Ruan D
Med Phys; 2019 Sep; 46(9):3941-3950. PubMed ID: 31220358
[TBL] [Abstract][Full Text] [Related]
19. Introducing Swish and Parallelized Blind Removal Improves the Performance of a Convolutional Neural Network in Denoising MR Images.
Sugai T; Takano K; Ouchi S; Ito S
Magn Reson Med Sci; 2021 Dec; 20(4):410-424. PubMed ID: 33583867
[TBL] [Abstract][Full Text] [Related]
20. Edge-enhancement densenet for X-ray fluoroscopy image denoising in cardiac electrophysiology procedures.
Luo Y; Ma Y; O' Brien H; Jiang K; Kohli V; Maidelin S; Saeed M; Deng E; Pushparajah K; Rhode KS
Med Phys; 2022 Feb; 49(2):1262-1275. PubMed ID: 34954836
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
