196 related articles for article (PubMed ID: 34024795)
1. Denoising of magnetic resonance images using discriminative learning-based deep convolutional neural network.
Tripathi S; Sharma N
Technol Health Care; 2022; 30(1):145-160. PubMed ID: 34024795
[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. 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]
4. Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.
Wu L; Hu S; Liu C
Comput Intell Neurosci; 2021; 2021():5577956. PubMed ID: 34054939
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.
Jiang D; Dou W; Vosters L; Xu X; Sun Y; Tan T
Jpn J Radiol; 2018 Sep; 36(9):566-574. PubMed ID: 29982919
[TBL] [Abstract][Full Text] [Related]
11. Low-dose CT denoising via convolutional neural network with an observer loss function.
Han M; Shim H; Baek J
Med Phys; 2021 Oct; 48(10):5727-5742. PubMed ID: 34387360
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Full-count PET recovery from low-count image using a dilated convolutional neural network.
Spuhler K; Serrano-Sosa M; Cattell R; DeLorenzo C; Huang C
Med Phys; 2020 Oct; 47(10):4928-4938. PubMed ID: 32687608
[TBL] [Abstract][Full Text] [Related]
14. Denoising of three-dimensional fast spin echo magnetic resonance images of knee joints using spatial-variant noise-relevant residual learning of convolution neural network.
Zhao S; Cahill DG; Li S; Xiao F; Blu T; Griffith JF; Chen W
Comput Biol Med; 2022 Dec; 151(Pt A):106295. PubMed ID: 36423533
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Denoising Tc-99m DMSA images using Denoising Convolutional Neural Network with comparison to a Block Matching Filter.
Chaudhary J; Phulia A; Pandey AK; Sharma PD; Patel C
Nucl Med Commun; 2023 Aug; 44(8):682-690. PubMed ID: 37272279
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Residual dense network for medical magnetic resonance images super-resolution.
Zhu D; Qiu D
Comput Methods Programs Biomed; 2021 Sep; 209():106330. PubMed ID: 34388684
[TBL] [Abstract][Full Text] [Related]
19. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang H; Xie Y; Wang G; Zhang L; Zhou W
Comput Methods Programs Biomed; 2022 Dec; 227():107201. PubMed ID: 36335751
[TBL] [Abstract][Full Text] [Related]
20. An Efficient Light-weight Network for Fast Reconstruction on MR Images.
Zhen B; Zheng Y; Qiu B
Curr Med Imaging; 2021; 17(11):1374-1384. PubMed ID: 33459243
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]