Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior

Research article (IEEE Access, 2020) · cited 17× · AI/ML
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Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior

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Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-mr-image-reconstruction-from-highly-undersampled-k-t-space-data-exploiting-low-tensor-train-rank-and-sparse-prio
MLA “Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-mr-image-reconstruction-from-highly-undersampled-k-t-space-data-exploiting-low-tensor-train-rank-and-sparse-prio.
BibTeX @misc{4ortxyz_dynamic-mr-image-reconstruction-from-highly-undersampled-k-t-space-data-exploiting-low-tensor-train-rank-and-sparse-prio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-mr-image-reconstruction-from-highly-undersampled-k-t-space-data-exploiting-low-tensor-train-rank-and-sparse-prio}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic MR Image Reconstruction From Highly Undersampled (k, t)-Space Data Exploiting Low Tensor Train Rank and Sparse Prior — https://4ort.xyz/entity/dynamic-mr-image-reconstruction-from-highly-undersampled-k-t-space-data-exploiting-low-tensor-train-rank-and-sparse-prio (retrieved 2026-05-24)

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