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.
180 related articles for article (PubMed ID: 37424045)
1. Deep-MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy. Liao J; Zhang C; Xu X; Zhou L; Yu B; Lin D; Li J; Qu J Adv Sci (Weinh); 2023 Sep; 10(27):e2300947. PubMed ID: 37424045 [TBL] [Abstract][Full Text] [Related]
2. Resolution improvement of multifocal structured illumination microscopy with sparse Bayesian learning algorithm. Wu J; Li S; Cao H; Lin D; Yu B; Qu J Opt Express; 2018 Nov; 26(24):31430-31438. PubMed ID: 30650728 [TBL] [Abstract][Full Text] [Related]
3. Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. Shah ZH; Müller M; Hübner W; Wang TC; Telman D; Huser T; Schenck W Gigascience; 2024 Jan; 13():. PubMed ID: 38217407 [TBL] [Abstract][Full Text] [Related]
4. A method for the reconstruction of multifocal structured illumination microscopy data with high efficiency. Feng L; Zhou L; Sun X; Xu Q; Chen P; Wang X; Liu W Sci Rep; 2019 Sep; 9(1):13378. PubMed ID: 31527605 [TBL] [Abstract][Full Text] [Related]
5. Super-Resolution Second-Harmonic Generation Imaging with Multifocal Structured Illumination Microscopy. Zhang C; Lin F; Zhang Y; Yang H; Lin D; He J; Liao C; Weng X; Liu L; Wang Y; Yu B; Qu J Nano Lett; 2023 Sep; 23(17):7975-7982. PubMed ID: 37642385 [TBL] [Abstract][Full Text] [Related]
6. Enhancing resolution and contrast in fibre bundle-based fluorescence microscopy using generative adversarial network. Ketabchi AM; Morova B; Uysalli Y; Aydin M; Eren F; Bavili N; Pysz D; Buczynski R; Kiraz A J Microsc; 2024 Sep; 295(3):236-242. PubMed ID: 38563195 [TBL] [Abstract][Full Text] [Related]
10. Optimized approach for optical sectioning enhancement in multifocal structured illumination microscopy. Zhang W; Yu B; Lin D; Yu H; Li S; Qu J Opt Express; 2020 Apr; 28(8):10919-10927. PubMed ID: 32403613 [TBL] [Abstract][Full Text] [Related]
11. Keyframe-aided resolution enhancement network for dynamic super-resolution structured illumination microscopy. Tang Y; Wen G; Liang Y; Wang L; Zhang J; Li H Opt Lett; 2023 Jun; 48(11):2949-2952. PubMed ID: 37262251 [TBL] [Abstract][Full Text] [Related]
12. Super-Resolution Reconstruction of Cytoskeleton Image Based on A-Net Deep Learning Network. Chen Q; Bai H; Che B; Zhao T; Zhang C; Wang K; Bai J; Zhao W Micromachines (Basel); 2022 Sep; 13(9):. PubMed ID: 36144138 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Out-of-focus background subtraction for fast structured illumination super-resolution microscopy of optically thick samples. Vermeulen P; Zhan H; Orieux F; Olivo-Marin JC; Lenkei Z; Loriette V; Fragola A J Microsc; 2015 Sep; 259(3):257-68. PubMed ID: 25925333 [TBL] [Abstract][Full Text] [Related]
15. Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity. Almansour H; Herrmann J; Gassenmaier S; Lingg A; Nickel MD; Kannengiesser S; Arberet S; Othman AE; Afat S Acad Radiol; 2023 May; 30(5):863-872. PubMed ID: 35810067 [TBL] [Abstract][Full Text] [Related]
16. LRR-CED: low-resolution reconstruction-aware convolutional encoder-decoder network for direct sparse-view CT image reconstruction. Kandarpa VSS; Perelli A; Bousse A; Visvikis D Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35738249 [No Abstract] [Full Text] [Related]
17. Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo. Lan H; Jiang D; Yang C; Gao F; Gao F Photoacoustics; 2020 Dec; 20():100197. PubMed ID: 32612929 [TBL] [Abstract][Full Text] [Related]
18. Deep learning enables contrast-robust super-resolution reconstruction in structured illumination microscopy. Chen Y; Liu Q; Zhang J; Ye Z; Ye H; Zhu Y; Kuang C; Chen Y; Liu W Opt Express; 2024 Jan; 32(3):3316-3328. PubMed ID: 38297556 [TBL] [Abstract][Full Text] [Related]
19. Evaluation and development of deep neural networks for image super-resolution in optical microscopy. Qiao C; Li D; Guo Y; Liu C; Jiang T; Dai Q; Li D Nat Methods; 2021 Feb; 18(2):194-202. PubMed ID: 33479522 [TBL] [Abstract][Full Text] [Related]
20. Deep learning based one-shot optically-sectioned structured illumination microscopy for surface measurement. Chai C; Chen C; Liu X; Lei Z Opt Express; 2021 Feb; 29(3):4010-4021. PubMed ID: 33770989 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]