953 related articles for article (PubMed ID: 31012226)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. High-resolution 3T to 7T ADC map synthesis with a hybrid CNN-transformer model.
Eidex Z; Wang J; Safari M; Elder E; Wynne J; Wang T; Shu HK; Mao H; Yang X
Med Phys; 2024 Jun; 51(6):4380-4388. PubMed ID: 38630982
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Principal component analysis fosr fast and model-free denoising of multi b-value diffusion-weighted MR images.
Gurney-Champion OJ; Collins DJ; Wetscherek A; Rata M; Klaassen R; van Laarhoven HWM; Harrington KJ; Oelfke U; Orton MR
Phys Med Biol; 2019 May; 64(10):105015. PubMed ID: 30965296
[TBL] [Abstract][Full Text] [Related]
9. Comparison of Diffusion-Weighted Imaging in the Human Brain Using Readout-Segmented EPI and PROPELLER Turbo Spin Echo With Single-Shot EPI at 7 T MRI.
Kida I; Ueguchi T; Matsuoka Y; Zhou K; Stemmer A; Porter D
Invest Radiol; 2016 Jul; 51(7):435-9. PubMed ID: 26807895
[TBL] [Abstract][Full Text] [Related]
10. Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.
Kidoh M; Shinoda K; Kitajima M; Isogawa K; Nambu M; Uetani H; Morita K; Nakaura T; Tateishi M; Yamashita Y; Yamashita Y
Magn Reson Med Sci; 2020 Aug; 19(3):195-206. PubMed ID: 31484849
[TBL] [Abstract][Full Text] [Related]
11. Model-based denoising in diffusion-weighted imaging using generalized spherical deconvolution.
Sperl JI; Sprenger T; Tan ET; Menzel MI; Hardy CJ; Marinelli L
Magn Reson Med; 2017 Dec; 78(6):2428-2438. PubMed ID: 28244188
[TBL] [Abstract][Full Text] [Related]
12. DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning.
Tian Q; Bilgic B; Fan Q; Liao C; Ngamsombat C; Hu Y; Witzel T; Setsompop K; Polimeni JR; Huang SY
Neuroimage; 2020 Oct; 219():117017. PubMed ID: 32504817
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Denoise diffusion-weighted images using higher-order singular value decomposition.
Zhang X; Peng J; Xu M; Yang W; Zhang Z; Guo H; Chen W; Feng Q; Wu EX; Feng Y
Neuroimage; 2017 Aug; 156():128-145. PubMed ID: 28416450
[TBL] [Abstract][Full Text] [Related]
15. Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography.
Usui K; Ogawa K; Goto M; Sakano Y; Kyougoku S; Daida H
Vis Comput Ind Biomed Art; 2021 Jul; 4(1):21. PubMed ID: 34304321
[TBL] [Abstract][Full Text] [Related]
16. Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms.
Woo I; Lee A; Jung SC; Lee H; Kim N; Cho SJ; Kim D; Lee J; Sunwoo L; Kang DW
Korean J Radiol; 2019 Aug; 20(8):1275-1284. PubMed ID: 31339015
[TBL] [Abstract][Full Text] [Related]
17. High-SNR multiple T
Eo T; Kim T; Jun Y; Lee H; Ahn SS; Kim DH; Hwang D
J Magn Reson Imaging; 2017 Jun; 45(6):1835-1845. PubMed ID: 27635526
[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. 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]
20. Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statistics.
Zhao T; Hoffman J; McNitt-Gray M; Ruan D
Med Phys; 2019 Jan; 46(1):190-198. PubMed ID: 30351450
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
