Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning
Summary
Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning is a scholarly article[1].
Key Facts
Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantitative-pure-phase-object-reconstruction-under-single-shot-fourier-measurement-via-deep-learning
MLA“Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantitative-pure-phase-object-reconstruction-under-single-shot-fourier-measurement-via-deep-learning.
BibTeX@misc{4ortxyz_quantitative-pure-phase-object-reconstruction-under-single-shot-fourier-measurement-via-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/quantitative-pure-phase-object-reconstruction-under-single-shot-fourier-measurement-via-deep-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantitative pure-phase object reconstruction under single-shot Fourier measurement via deep learning — https://4ort.xyz/entity/quantitative-pure-phase-object-reconstruction-under-single-shot-fourier-measurement-via-deep-learning (retrieved 2026-05-24)
