194 related articles for article (PubMed ID: 38052619)
1. ARU-DGAN: A dual generative adversarial network based on attention residual U-Net for magneto-acousto-electrical image denoising.
Bu S; Li Y; Ren W; Liu G
Math Biosci Eng; 2023 Oct; 20(11):19661-19685. PubMed ID: 38052619
[TBL] [Abstract][Full Text] [Related]
2. NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image Noise.
Hossain S; Lee B
Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616850
[TBL] [Abstract][Full Text] [Related]
3. Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss.
Zhang L; Zhang J
PeerJ Comput Sci; 2022; 8():e873. PubMed ID: 35494868
[TBL] [Abstract][Full Text] [Related]
4. ARU-GAN: U-shaped GAN based on Attention and Residual connection for super-resolution reconstruction.
Lyu Y; Jiang X; Xu Y; Hou J; Zhao X; Zhu X
Comput Biol Med; 2023 Sep; 164():107316. PubMed ID: 37595521
[TBL] [Abstract][Full Text] [Related]
5. Adversarial Gaussian Denoiser for Multiple-Level Image Denoising.
Khan A; Jin W; Haider A; Rahman M; Wang D
Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33923320
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Spatial adaptive and transformer fusion network (STFNet) for low-count PET blind denoising with MRI.
Zhang L; Xiao Z; Zhou C; Yuan J; He Q; Yang Y; Liu X; Liang D; Zheng H; Fan W; Zhang X; Hu Z
Med Phys; 2022 Jan; 49(1):343-356. PubMed ID: 34796526
[TBL] [Abstract][Full Text] [Related]
8. Artifact and Detail Attention Generative Adversarial Networks for Low-Dose CT Denoising.
Zhang X; Han Z; Shangguan H; Han X; Cui X; Wang A
IEEE Trans Med Imaging; 2021 Dec; 40(12):3901-3918. PubMed ID: 34329159
[TBL] [Abstract][Full Text] [Related]
9. Optimization of multi-angle Magneto-Acousto-Electrical Tomography (MAET) based on a numerical method.
Sun T; Zeng X; Hao PH; Chin CT; Chen M; Yan JJ; Dai M; Lin HM; Chen S; Chen X
Math Biosci Eng; 2020 Mar; 17(4):2864-2880. PubMed ID: 32987504
[TBL] [Abstract][Full Text] [Related]
10. Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network.
Zhang Y; Hao D; Lin Y; Sun W; Zhang J; Meng J; Ma F; Guo Y; Lu H; Li G; Liu J
Quant Imaging Med Surg; 2023 Oct; 13(10):6528-6545. PubMed ID: 37869272
[TBL] [Abstract][Full Text] [Related]
11. Super-Resolution Reconstruction of CT Images Based on Multi-scale Information Fused Generative Adversarial Networks.
Liu X; Su S; Gu W; Yao T; Shen J; Mo Y
Ann Biomed Eng; 2024 Jan; 52(1):57-70. PubMed ID: 38064116
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks.
Shi Z; Li H; Cao Q; Wang Z; Cheng M
Med Phys; 2021 Jun; 48(6):2891-2905. PubMed ID: 33704786
[TBL] [Abstract][Full Text] [Related]
16. General principle and optimization of magneto-acousto-electrical tomography based on image distortion evaluation.
Li P; Chen W; Guo G; Tu J; Zhang D; Ma Q
Med Phys; 2023 May; 50(5):3076-3091. PubMed ID: 36815305
[TBL] [Abstract][Full Text] [Related]
17. High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN).
Li Z; Tian Q; Ngamsombat C; Cartmell S; Conklin J; Filho ALMG; Lo WC; Wang G; Ying K; Setsompop K; Fan Q; Bilgic B; Cauley S; Huang SY
Med Phys; 2022 Feb; 49(2):1000-1014. PubMed ID: 34961944
[TBL] [Abstract][Full Text] [Related]
18. A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network.
Li Y; Zhang K; Shi W; Miao Y; Jiang Z
Comput Math Methods Med; 2021; 2021():9974017. PubMed ID: 34621329
[TBL] [Abstract][Full Text] [Related]
19. A novel hybrid generative adversarial network for CT and MRI super-resolution reconstruction.
Xiao Y; Chen C; Wang L; Yu J; Fu X; Zou Y; Lin Z; Wang K
Phys Med Biol; 2023 Jun; 68(13):. PubMed ID: 37285848
[No Abstract] [Full Text] [Related]
20. Rapid rotational magneto-acousto-electrical tomography with filtered back-projection algorithm based on plane waves.
Sun T; Hao P; Chin CT; Deng D; Chen T; Chen Y; Chen M; Lin H; Lu M; Gao Y; Chen S; Chang C; Chen X
Phys Med Biol; 2021 Apr; 66(9):. PubMed ID: 33725674
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
