56 related articles for article (PubMed ID: 23333657)
1. TMaCS: a hybrid template matching and classification system for partially-automated particle selection.
Zhao J; Brubaker MA; Rubinstein JL
J Struct Biol; 2013 Mar; 181(3):234-42. PubMed ID: 23333657
[TBL] [Abstract][Full Text] [Related]
2. A large expert-curated cryo-EM image dataset for machine learning protein particle picking.
Dhakal A; Gyawali R; Wang L; Cheng J
Sci Data; 2023 Jun; 10(1):392. PubMed ID: 37349345
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. APPLE picker: Automatic particle picking, a low-effort cryo-EM framework.
Heimowitz A; Andén J; Singer A
J Struct Biol; 2018 Nov; 204(2):215-227. PubMed ID: 30134153
[TBL] [Abstract][Full Text] [Related]
5. CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking.
Dhakal A; Gyawali R; Wang L; Cheng J
bioRxiv; 2023 Feb; ():. PubMed ID: 36865277
[TBL] [Abstract][Full Text] [Related]
6. DRPnet: automated particle picking in cryo-electron micrographs using deep regression.
Nguyen NP; Ersoy I; Gotberg J; Bunyak F; White TA
BMC Bioinformatics; 2021 Feb; 22(1):55. PubMed ID: 33557750
[TBL] [Abstract][Full Text] [Related]
7. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM.
Wagner T; Merino F; Stabrin M; Moriya T; Antoni C; Apelbaum A; Hagel P; Sitsel O; Raisch T; Prumbaum D; Quentin D; Roderer D; Tacke S; Siebolds B; Schubert E; Shaikh TR; Lill P; Gatsogiannis C; Raunser S
Commun Biol; 2019; 2():218. PubMed ID: 31240256
[TBL] [Abstract][Full Text] [Related]
8. Separating distinct structures of multiple macromolecular assemblies from cryo-EM projections.
Verbeke EJ; Zhou Y; Horton AP; Mallam AL; Taylor DW; Marcotte EM
J Struct Biol; 2020 Jan; 209(1):107416. PubMed ID: 31726096
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Orientation determination by wavelets matching for 3D reconstruction of very noisy electron microscopic virus images.
Saad AS
BMC Struct Biol; 2005 Mar; 5():5. PubMed ID: 15743519
[TBL] [Abstract][Full Text] [Related]
11. Image segmentation for automatic particle identification in electron micrographs based on hidden Markov random field models and expectation maximization.
Singh V; Marinescu DC; Baker TS
J Struct Biol; 2004; 145(1-2):123-41. PubMed ID: 15065680
[TBL] [Abstract][Full Text] [Related]
12. A kinetic model for solving a combination optimization problem in ab-initio Cryo-EM 3D reconstruction.
Liu J; Lu Y; Zhu L
Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38261343
[TBL] [Abstract][Full Text] [Related]
13. CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM Micrographs.
Dhakal A; Gyawali R; Wang L; Cheng J
bioRxiv; 2023 Oct; ():. PubMed ID: 37961171
[TBL] [Abstract][Full Text] [Related]
14. CryoVirusDB: A Labeled Cryo-EM Image Dataset for AI-Driven Virus Particle Picking.
Gyawali R; Dhakal A; Wang L; Cheng J
bioRxiv; 2023 Dec; ():. PubMed ID: 38234823
[TBL] [Abstract][Full Text] [Related]
15. A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection.
Shi J; Zeng X; Jiang R; Jiang T; Xu M
Quant Biol; 2020 Mar; 8(1):51-63. PubMed ID: 32477613
[TBL] [Abstract][Full Text] [Related]
16. DeepEM3D: approaching human-level performance on 3D anisotropic EM image segmentation.
Zeng T; Wu B; Ji S
Bioinformatics; 2017 Aug; 33(16):2555-2562. PubMed ID: 28379412
[TBL] [Abstract][Full Text] [Related]
17. High resolution single particle refinement in EMAN2.1.
Bell JM; Chen M; Baldwin PR; Ludtke SJ
Methods; 2016 May; 100():25-34. PubMed ID: 26931650
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Robustness of signal detection in cryo-electron microscopy via a bi-objective-function approach.
Wang WL; Yu Z; Castillo-Menendez LR; Sodroski J; Mao Y
BMC Bioinformatics; 2019 Apr; 20(1):169. PubMed ID: 30943890
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
