These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
181 related articles for article (PubMed ID: 34065860)
1. Enhanced Single Image Super Resolution Method Using Lightweight Multi-Scale Channel Dense Network. Lee Y; Jun D; Kim BG; Lee H Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34065860 [TBL] [Abstract][Full Text] [Related]
2. MLWAN: Multi-Scale Learning Wavelet Attention Module Network for Image Super Resolution. Ma J; Han X; Zhang X; Li Z Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501811 [TBL] [Abstract][Full Text] [Related]
3. 3D dense convolutional neural network for fast and accurate single MR image super-resolution. Wang L; Du J; Gholipour A; Zhu H; He Z; Jia Y Comput Med Imaging Graph; 2021 Oct; 93():101973. PubMed ID: 34543775 [TBL] [Abstract][Full Text] [Related]
4. A comprehensive review of deep learning-based single image super-resolution. Bashir SMA; Wang Y; Khan M; Niu Y PeerJ Comput Sci; 2021; 7():e621. PubMed ID: 34322592 [TBL] [Abstract][Full Text] [Related]
5. 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN. Kang L; Tang B; Huang J; Li J Comput Methods Programs Biomed; 2024 May; 248():108110. PubMed ID: 38452685 [TBL] [Abstract][Full Text] [Related]
6. VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. Li Y; Iwamoto Y; Lin L; Xu R; Tong R; Chen YW IEEE Trans Image Process; 2021; 30():4840-4854. PubMed ID: 33945478 [TBL] [Abstract][Full Text] [Related]
7. Image Super-Resolution Using Deep Convolutional Networks. Dong C; Loy CC; He K; Tang X IEEE Trans Pattern Anal Mach Intell; 2016 Feb; 38(2):295-307. PubMed ID: 26761735 [TBL] [Abstract][Full Text] [Related]
8. Learning lightweight super-resolution networks with weight pruning. Jiang X; Wang N; Xin J; Xia X; Yang X; Gao X Neural Netw; 2021 Dec; 144():21-32. PubMed ID: 34450444 [TBL] [Abstract][Full Text] [Related]
9. A trusted medical image super-resolution method based on feedback adaptive weighted dense network. Chen L; Yang X; Jeon G; Anisetti M; Liu K Artif Intell Med; 2020 Jun; 106():101857. PubMed ID: 32593391 [TBL] [Abstract][Full Text] [Related]
10. Lightweight Single Image Super-Resolution with Selective Channel Processing Network. Zhu H; Tang H; Hu Y; Tao H; Xie C Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898091 [TBL] [Abstract][Full Text] [Related]
11. Quaternion attention multi-scale widening network for endoscopy image super-resolution. Lin J; Huang G; Huang J; Yuan X; Zeng Y; Shi C Phys Med Biol; 2023 Mar; 68(7):. PubMed ID: 36854191 [No Abstract] [Full Text] [Related]
12. A hybrid convolutional neural network for super-resolution reconstruction of MR images. Zheng Y; Zhen B; Chen A; Qi F; Hao X; Qiu B Med Phys; 2020 Jul; 47(7):3013-3022. PubMed ID: 32201956 [TBL] [Abstract][Full Text] [Related]
13. Real-Time Environment Monitoring Using a Lightweight Image Super-Resolution Network. Yu Q; Liu F; Xiao L; Liu Z; Yang X Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34072625 [TBL] [Abstract][Full Text] [Related]
14. Multi-scale feature selection network for lightweight image super-resolution. Li M; Zhao Y; Zhang F; Luo B; Yang C; Gui W; Chang K Neural Netw; 2024 Jan; 169():352-364. PubMed ID: 37922717 [TBL] [Abstract][Full Text] [Related]
15. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model. Chun J; Zhang H; Gach HM; Olberg S; Mazur T; Green O; Kim T; Kim H; Kim JS; Mutic S; Park JC Med Phys; 2019 Sep; 46(9):4148-4164. PubMed ID: 31309585 [TBL] [Abstract][Full Text] [Related]
16. Non-linear perceptual multi-scale network for single image super-resolution. Yang A; Li L; Wang J; Ji Z; Pang Y; Cao J; Wei Z Neural Netw; 2022 Aug; 152():201-211. PubMed ID: 35533506 [TBL] [Abstract][Full Text] [Related]
17. Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution. Liu Z; Zheng Y; Han XH Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33800532 [TBL] [Abstract][Full Text] [Related]
18. Learning Image Profile Enhancement and Denoising Statistics Priors for Single-Image Super-Resolution. Ren C; He X; Pu Y; Nguyen TQ IEEE Trans Cybern; 2021 Jul; 51(7):3535-3548. PubMed ID: 31449041 [TBL] [Abstract][Full Text] [Related]
19. Dense channel splitting network for MR image super-resolution. He Y; Tang F; Jin J; Li M; Zhang H; Liu F Magn Reson Imaging; 2022 May; 88():53-61. PubMed ID: 35122983 [TBL] [Abstract][Full Text] [Related]
20. An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine. Özyurt F; Sert E; Avcı D Med Hypotheses; 2020 Jan; 134():109433. PubMed ID: 31634769 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]