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Cited by in F6Publishing
For: Zhang F, Lei C, Huang C, Kobayashi H, Sun C, Goda K. Intelligent Image De‐Blurring for Imaging Flow Cytometry. Cytometry 2019;95:549-54. [DOI: 10.1002/cyto.a.23771] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Goda K, Filby A, Nitta N. In Flow Cytometry, Image Is Everything. Cytometry A 2019;95:475-7. [PMID: 31050393 DOI: 10.1002/cyto.a.23778] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
2 Xue Y, Qian H, Li X, Wang J, Ren K, Ji J. A deep-learning-based workflow to deal with the defocusing problem in high-throughput experiments. Bioact Mater 2022;11:218-29. [PMID: 34938925 DOI: 10.1016/j.bioactmat.2021.09.018] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Zhang X, Na N, Ouyang J. Droplet-based extraction mass spectrometry. TrAC Trends in Analytical Chemistry 2021;143:116366. [DOI: 10.1016/j.trac.2021.116366] [Reference Citation Analysis]
4 Isozaki A, Harmon J, Zhou Y, Li S, Nakagawa Y, Hayashi M, Mikami H, Lei C, Goda K. AI on a chip. Lab Chip 2020;20:3074-90. [PMID: 32644061 DOI: 10.1039/d0lc00521e] [Cited by in Crossref: 23] [Cited by in F6Publishing: 4] [Article Influence: 23.0] [Reference Citation Analysis]
5 Yan S, Yuan D. Continuous microfluidic 3D focusing enabling microflow cytometry for single-cell analysis. Talanta 2021;221:121401. [DOI: 10.1016/j.talanta.2020.121401] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 10.0] [Reference Citation Analysis]
6 Makarkin M, Bratashov D. State-of-the-Art Approaches for Image Deconvolution Problems, including Modern Deep Learning Architectures. Micromachines (Basel) 2021;12:1558. [PMID: 34945408 DOI: 10.3390/mi12121558] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Collin CB, Gebhardt T, Golebiewski M, Karaderi T, Hillemanns M, Khan FM, Salehzadeh-yazdi A, Kirschner M, Krobitsch S, Kuepfer L; EU-STANDS4PM consortium. Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation. JPM 2022;12:166. [DOI: 10.3390/jpm12020166] [Reference Citation Analysis]