Works matching AU Olson, Eben M.
Results: 4
Applications of Digital Microscopy and Densely Connected Convolutional Neural Networks for Automated Quantification of Babesia-Infected Erythrocytes.
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- Clinical Chemistry, 2022, v. 68, n. 1, p. 218, doi. 10.1093/clinchem/hvab237
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- Article
Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes.
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- Clinical Chemistry, 2017, v. 63, n. 12, p. 1847, doi. 10.1373/clinchem.2017.276345
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- Article
Publisher Correction: Ultrahigh-speed point scanning two-photon microscopy using high dynamic range silicon photomultipliers.
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- 2021
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- Correction Notice
Ultrahigh-speed point scanning two-photon microscopy using high dynamic range silicon photomultipliers.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-84522-0
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- Article