Home ›
Entities
› academia
› Super‐resolution<i>T</i><sub>1</sub>estimation: Quantitative high resolution<i>T</i><sub>1</sub>mapping from a set of low resolution<i>T</i><sub>1</sub>‐weighted images with different slice orientations
Super‐resolution<i>T</i><sub>1</sub>estimation: Quantitative high resolution<i>T</i><sub>1</sub>mapping from a set of low resolution<i>T</i><sub>1</sub>‐weighted images with different slice orientations
Research article (Magnetic Resonance in Medicine, 2016) · cited 18× · AI/ML
Super‐resolutionT1estimation: Quantitative high resolutionT1mapping from a set of low resolutionT1‐weighted images with different slice orientations
Summary
Super‐resolutionT1estimation: Quantitative high resolutionT1mapping from a set of low resolutionT1‐weighted images with different slice orientations is a scholarly article[1].
Key Facts
Super‐resolutionT1estimation: Quantitative high resolutionT1mapping from a set of low resolutionT1‐weighted images with different slice orientations's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Super‐resolution<i>T</i><sub>1</sub>estimation: Quantitative high resolution<i>T</i><sub>1</sub>mapping from a set of low resolution<i>T</i><sub>1</sub>‐weighted images with different slice orientations. Retrieved May 24, 2026, from https://4ort.xyz/entity/superresolution-i-t-i-sub-1-sub-estimation-quantitative-high-resolution-i-t-i-sub-1-sub-mapping-from-a-set-of-low-resolu
MLA“Super‐resolution<i>T</i><sub>1</sub>estimation: Quantitative high resolution<i>T</i><sub>1</sub>mapping from a set of low resolution<i>T</i><sub>1</sub>‐weighted images with different slice orientations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/superresolution-i-t-i-sub-1-sub-estimation-quantitative-high-resolution-i-t-i-sub-1-sub-mapping-from-a-set-of-low-resolu.
BibTeX@misc{4ortxyz_superresolution-i-t-i-sub-1-sub-estimation-quantitative-high-resolution-i-t-i-sub-1-sub-mapping-from-a-set-of-low-resolu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Super‐resolution<i>T</i><sub>1</sub>estimation: Quantitative high resolution<i>T</i><sub>1</sub>mapping from a set of low resolution<i>T</i><sub>1</sub>‐weighted images with different slice orientations}}, year = {2026}, url = {https://4ort.xyz/entity/superresolution-i-t-i-sub-1-sub-estimation-quantitative-high-resolution-i-t-i-sub-1-sub-mapping-from-a-set-of-low-resolu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Super‐resolution<i>T</i><sub>1</sub>estimation: Quantitative high resolution<i>T</i><sub>1</sub>mapping from a set of low resolution<i>T</i><sub>1</sub>‐weighted images with different slice orientations — https://4ort.xyz/entity/superresolution-i-t-i-sub-1-sub-estimation-quantitative-high-resolution-i-t-i-sub-1-sub-mapping-from-a-set-of-low-resolu (retrieved 2026-05-24)
