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Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction
Research article (NeuroImage, 2021) · cited 23× · AI/ML
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction
Summary
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction is a scholarly article[1].
Key Facts
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction's instance of is recorded as scholarly article[2].
References
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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). Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. Retrieved May 24, 2026, from https://4ort.xyz/entity/accelerating-quantitative-susceptibility-and-r2-mapping-using-incoherent-undersampling-and-deep-neural-network-reconstru
MLA“Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accelerating-quantitative-susceptibility-and-r2-mapping-using-incoherent-undersampling-and-deep-neural-network-reconstru.
BibTeX@misc{4ortxyz_accelerating-quantitative-susceptibility-and-r2-mapping-using-incoherent-undersampling-and-deep-neural-network-reconstru_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction}}, year = {2026}, url = {https://4ort.xyz/entity/accelerating-quantitative-susceptibility-and-r2-mapping-using-incoherent-undersampling-and-deep-neural-network-reconstru}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction — https://4ort.xyz/entity/accelerating-quantitative-susceptibility-and-r2-mapping-using-incoherent-undersampling-and-deep-neural-network-reconstru (retrieved 2026-05-24)
