Machine learning approaches for ELNES/XANES.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 92, doi. 10.1093/jmicro/dfz109
- By:
- Publication type:
- Article
Works matching IS 20505698 AND DT 2020 AND VI 69 AND IP 2
Results: 9
1
2
IN THIS ISSUE.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 1, doi. 10.1093/jmicro/dfaa014
- Publication type:
- Article
3
Large-scale single-molecule imaging aided by artificial intelligence.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 69, doi. 10.1093/jmicro/dfz116
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- Publication type:
- Article
4
Accuracy improvement of phase estimation in electron holography using noise reduction methods.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 123, doi. 10.1093/jmicro/dfz115
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- Publication type:
- Article
5
Application of machine learning techniques to electron microscopic/spectroscopic image data analysis.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 110, doi. 10.1093/jmicro/dfz036
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- Publication type:
- Article
6
For microscopy special issue on 'AI and Imaging'.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 59, doi. 10.1093/jmicro/dfaa009
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- Publication type:
- Article
7
Generative and discriminative model-based approaches to microscopic image restoration and segmentation.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 79, doi. 10.1093/jmicro/dfaa007
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- Publication type:
- Article
8
Implementing machine learning methods for imaging flow cytometry.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 61, doi. 10.1093/jmicro/dfaa005
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- Publication type:
- Article
9
Automated acquisition of vast numbers of electron holograms with atomic-scale phase information.
- Published in:
- Microscopy, 2020, v. 69, n. 2, p. 132, doi. 10.1093/jmicro/dfaa004
- By:
- Publication type:
- Article