Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DH-GAN: a physics-driven untrained generative adversarial network for holographic imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/dh-gan-a-physics-driven-untrained-generative-adversarial-network-for-holographic-imaging
MLA“DH-GAN: a physics-driven untrained generative adversarial network for holographic imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dh-gan-a-physics-driven-untrained-generative-adversarial-network-for-holographic-imaging.
BibTeX@misc{4ortxyz_dh-gan-a-physics-driven-untrained-generative-adversarial-network-for-holographic-imaging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DH-GAN: a physics-driven untrained generative adversarial network for holographic imaging}}, year = {2026}, url = {https://4ort.xyz/entity/dh-gan-a-physics-driven-untrained-generative-adversarial-network-for-holographic-imaging}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DH-GAN: a physics-driven untrained generative adversarial network for holographic imaging — https://4ort.xyz/entity/dh-gan-a-physics-driven-untrained-generative-adversarial-network-for-holographic-imaging (retrieved 2026-05-24)
