DeepGhost: real-time computational ghost imaging via deep learning.
- DOI
- 10.1038/s41598-020-68401-8
- Published
- 2020 Jul 9
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-020-68401-8,
title = {DeepGhost: real-time computational ghost imaging via deep learning.},
author = {Rizvi S and Cao J and Zhang K and Hao Q},
year = {2020},
journal = {Scientific reports},
doi = {10.1038/s41598-020-68401-8},
url = {https://doi.org/10.1038/s41598-020-68401-8}
}RIS
TY - JOUR TI - DeepGhost: real-time computational ghost imaging via deep learning. AU - Rizvi S AU - Cao J AU - Zhang K AU - Hao Q PY - 2020 JO - Scientific reports DO - 10.1038/s41598-020-68401-8 UR - https://doi.org/10.1038/s41598-020-68401-8 ER -
APA
S, R., J, C., K, Z., & Q, H. (2020). DeepGhost: real-time computational ghost imaging via deep learning.. Scientific reports. https://doi.org/10.1038/s41598-020-68401-8
Source records
- pubmed · retrieved 2026-11-10T13:09:00.178Z
- europe-pmc · retrieved 2026-11-10T13:09:00.184Z