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). Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields. Retrieved May 24, 2026, from https://4ort.xyz/entity/dense-u-net-dense-encoderdecoder-network-for-holographic-imaging-of-3d-particle-fields
MLA“Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dense-u-net-dense-encoderdecoder-network-for-holographic-imaging-of-3d-particle-fields.
BibTeX@misc{4ortxyz_dense-u-net-dense-encoderdecoder-network-for-holographic-imaging-of-3d-particle-fields_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields}}, year = {2026}, url = {https://4ort.xyz/entity/dense-u-net-dense-encoderdecoder-network-for-holographic-imaging-of-3d-particle-fields}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dense-U-net: Dense encoder–decoder network for holographic imaging of 3D particle fields — https://4ort.xyz/entity/dense-u-net-dense-encoderdecoder-network-for-holographic-imaging-of-3d-particle-fields (retrieved 2026-05-24)