Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction

Research article (Magnetic Resonance in Medicine, 2016) · cited 13× · AI/ML
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Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction

Summary

Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction is a scholarly article[1].

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  • Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction. Retrieved May 24, 2026, from https://4ort.xyz/entity/multicontrast-reconstruction-using-compressed-sensing-with-low-rank-and-spatially-varying-edge-preserving-constraints-fo
MLA “Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multicontrast-reconstruction-using-compressed-sensing-with-low-rank-and-spatially-varying-edge-preserving-constraints-fo.
BibTeX @misc{4ortxyz_multicontrast-reconstruction-using-compressed-sensing-with-low-rank-and-spatially-varying-edge-preserving-constraints-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction}}, year = {2026}, url = {https://4ort.xyz/entity/multicontrast-reconstruction-using-compressed-sensing-with-low-rank-and-spatially-varying-edge-preserving-constraints-fo}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multicontrast reconstruction using compressed sensing with low rank and spatially varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction — https://4ort.xyz/entity/multicontrast-reconstruction-using-compressed-sensing-with-low-rank-and-spatially-varying-edge-preserving-constraints-fo (retrieved 2026-05-24)

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