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.
390 related articles for article (PubMed ID: 35134862)
1. Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer. Li H; Zhang H; Wan X; Yang Z; Li C; Li J; Han R; Zhu P; Zhang F Bioinformatics; 2022 Mar; 38(7):2022-2029. PubMed ID: 35134862 [TBL] [Abstract][Full Text] [Related]
2. Improved Denoising of Cryo-Electron Microscopy Micrographs with Simulation-Aware Pretraining. Yang Z; Li H; Zang D; Han R; Zhang F J Comput Biol; 2024 Jun; 31(6):564-575. PubMed ID: 38805340 [No Abstract] [Full Text] [Related]
3. [Progress in filters for denoising cryo-electron microscopy images]. Huang XR; Li S; Gao S Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 53(2):425-433. PubMed ID: 33879921 [TBL] [Abstract][Full Text] [Related]
4. A strategy combining denoising and cryo-EM single particle analysis. Zhang H; Li H; Zhang F; Zhu P Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37096633 [TBL] [Abstract][Full Text] [Related]
6. A Transfer Learning-Based Classification Model for Particle Pruning in Cryo-Electron Microscopy. Li H; Chen G; Gao S; Li J; Wan X; Zhang F J Comput Biol; 2022 Oct; 29(10):1117-1131. PubMed ID: 35985012 [No Abstract] [Full Text] [Related]
7. AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images. Al-Azzawi A; Ouadou A; Tanner JJ; Cheng J BMC Bioinformatics; 2019 Jun; 20(1):326. PubMed ID: 31195977 [TBL] [Abstract][Full Text] [Related]
8. A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy. Zhu Y; Ouyang Q; Mao Y BMC Bioinformatics; 2017 Jul; 18(1):348. PubMed ID: 28732461 [TBL] [Abstract][Full Text] [Related]
9. CryoTransformer: a transformer model for picking protein particles from cryo-EM micrographs. Dhakal A; Gyawali R; Wang L; Cheng J Bioinformatics; 2024 Mar; 40(3):. PubMed ID: 38407301 [TBL] [Abstract][Full Text] [Related]
10. A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM. Al-Azzawi A; Ouadou A; Tanner JJ; Cheng J Genes (Basel); 2019 Aug; 10(9):. PubMed ID: 31480377 [TBL] [Abstract][Full Text] [Related]
11. Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional Autoencoder and K-Means+. Zhang D; Yan Y; Huang Y; Liu B; Zheng Q; Zhang J; Xia N IEEE Trans Med Imaging; 2023 May; 42(5):1509-1521. PubMed ID: 37015394 [TBL] [Abstract][Full Text] [Related]
12. Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement. Chong X; Leung H; Li Q; Yao J; Zhou N IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(5):1299-1310. PubMed ID: 38526906 [TBL] [Abstract][Full Text] [Related]
13. CDAE: A Cascade of Denoising Autoencoders for Noise Reduction in the Clustering of Single-Particle Cryo-EM Images. Lei H; Yang Y Front Genet; 2020; 11():627746. PubMed ID: 33552141 [TBL] [Abstract][Full Text] [Related]
14. A Zernike-moment-based non-local denoising filter for cryo-EM images. Wang J; Yin C Sci China Life Sci; 2013 Apr; 56(4):384-90. PubMed ID: 23564187 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Cryo-electron microscope image denoising based on the geodesic distance. Ouyang J; Liang Z; Chen C; Fu Z; Zhang Y; Liu H BMC Struct Biol; 2018 Dec; 18(1):18. PubMed ID: 30554569 [TBL] [Abstract][Full Text] [Related]
17. PIXER: an automated particle-selection method based on segmentation using a deep neural network. Zhang J; Wang Z; Chen Y; Han R; Liu Z; Sun F; Zhang F BMC Bioinformatics; 2019 Jan; 20(1):41. PubMed ID: 30658571 [TBL] [Abstract][Full Text] [Related]
18. CryoSegNet: accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and attention-gated U-Net. Gyawali R; Dhakal A; Wang L; Cheng J Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38860738 [TBL] [Abstract][Full Text] [Related]
19. Denoising and covariance estimation of single particle cryo-EM images. Bhamre T; Zhang T; Singer A J Struct Biol; 2016 Jul; 195(1):72-81. PubMed ID: 27129418 [TBL] [Abstract][Full Text] [Related]
20. Simcryocluster: a semantic similarity clustering method of cryo-EM images by adopting contrastive learning. Tang H; Wang Y; Ouyang J; Wang J BMC Bioinformatics; 2024 Feb; 25(1):77. PubMed ID: 38378489 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]