Home › Entities › academia › Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity

Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity

Research article (Academic Radiology, 2022) · cited 31× · AI/ML
academia openalex:W4284994058
Press Enter · cited answer in seconds

Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity

Summary

Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity is a scholarly article[1].

Key Facts

  • Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity. Retrieved May 24, 2026, from https://4ort.xyz/entity/combined-deep-learning-based-super-resolution-and-partial-fourier-reconstruction-for-gradient-echo-sequences-in-abdomina
MLA “Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combined-deep-learning-based-super-resolution-and-partial-fourier-reconstruction-for-gradient-echo-sequences-in-abdomina.
BibTeX @misc{4ortxyz_combined-deep-learning-based-super-resolution-and-partial-fourier-reconstruction-for-gradient-echo-sequences-in-abdomina_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity}}, year = {2026}, url = {https://4ort.xyz/entity/combined-deep-learning-based-super-resolution-and-partial-fourier-reconstruction-for-gradient-echo-sequences-in-abdomina}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity — https://4ort.xyz/entity/combined-deep-learning-based-super-resolution-and-partial-fourier-reconstruction-for-gradient-echo-sequences-in-abdomina (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/combined-deep-learning-based-super-resolution-and-partial-fourier-reconstruction-for-gradient-echo-sequences-in-abdomina · Last refreshed: