1293 related articles for article (PubMed ID: 29027238)
1. A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction.
Kang E; Min J; Ye JC
Med Phys; 2017 Oct; 44(10):e360-e375. PubMed ID: 29027238
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.
Kang E; Chang W; Yoo J; Ye JC
IEEE Trans Med Imaging; 2018 Jun; 37(6):1358-1369. PubMed ID: 29870365
[TBL] [Abstract][Full Text] [Related]
4. High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.
Lee D; Choi S; Kim HJ
Med Phys; 2019 Jan; 46(1):104-115. PubMed ID: 30362117
[TBL] [Abstract][Full Text] [Related]
5. Computationally efficient deep neural network for computed tomography image reconstruction.
Wu D; Kim K; Li Q
Med Phys; 2019 Nov; 46(11):4763-4776. PubMed ID: 31132144
[TBL] [Abstract][Full Text] [Related]
6. Computed tomography super-resolution using deep convolutional neural network.
Park J; Hwang D; Kim KY; Kang SK; Kim YK; Lee JS
Phys Med Biol; 2018 Jul; 63(14):145011. PubMed ID: 29923839
[TBL] [Abstract][Full Text] [Related]
7. Iterative quality enhancement via residual-artifact learning networks for low-dose CT.
Wang Y; Liao Y; Zhang Y; He J; Li S; Bian Z; Zhang H; Gao Y; Meng D; Zuo W; Zeng D; Ma J
Phys Med Biol; 2018 Oct; 63(21):215004. PubMed ID: 30265251
[TBL] [Abstract][Full Text] [Related]
8. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Synthesizing images from multiple kernels using a deep convolutional neural network.
Missert AD; Yu L; Leng S; Fletcher JG; McCollough CH
Med Phys; 2020 Feb; 47(2):422-430. PubMed ID: 31714999
[TBL] [Abstract][Full Text] [Related]
11. 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]
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. End-to-end deep learning for interior tomography with low-dose x-ray CT.
Han Y; Wu D; Kim K; Li Q
Phys Med Biol; 2022 May; 67(11):. PubMed ID: 35390782
[No Abstract] [Full Text] [Related]
14. Dose reduction and image enhancement in micro-CT using deep learning.
Muller FM; Maebe J; Vanhove C; Vandenberghe S
Med Phys; 2023 Sep; 50(9):5643-5656. PubMed ID: 36994779
[TBL] [Abstract][Full Text] [Related]
15. [Sparse-view CT image restoration
Wei Z; Wang Y; Tao X; Jia X; Bian Z; Chen G; Li M; Ma K; Li B; Ma J
Nan Fang Yi Ke Da Xue Xue Bao; 2019 Nov; 39(11):1320-1328. PubMed ID: 31852651
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
18. l0 regularization based on a prior image incorporated non-local means for limited-angle X-ray CT reconstruction.
Zhang L; Zeng L; Guo Y
J Xray Sci Technol; 2018; 26(3):481-498. PubMed ID: 29562578
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Reconstruction of Compressed-sensing MR Imaging Using Deep Residual Learning in the Image Domain.
Ouchi S; Ito S
Magn Reson Med Sci; 2021 Jun; 20(2):190-203. PubMed ID: 32611937
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
