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Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction

Research article (IEEE Journal of Selected Topics in Signal Processing, 2020) · cited 20× · AI/ML
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Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction

Summary

Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction is a scholarly article[1].

Key Facts

  • Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction's instance of is recorded as scholarly article[2].

Related Entities

Jong Chul Ye

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction. Retrieved May 24, 2026, from https://4ort.xyz/entity/geometric-approaches-to-increase-the-expressivity-of-deep-neural-networks-for-mr-reconstruction
MLA “Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/geometric-approaches-to-increase-the-expressivity-of-deep-neural-networks-for-mr-reconstruction.
BibTeX @misc{4ortxyz_geometric-approaches-to-increase-the-expressivity-of-deep-neural-networks-for-mr-reconstruction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction}}, year = {2026}, url = {https://4ort.xyz/entity/geometric-approaches-to-increase-the-expressivity-of-deep-neural-networks-for-mr-reconstruction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction — https://4ort.xyz/entity/geometric-approaches-to-increase-the-expressivity-of-deep-neural-networks-for-mr-reconstruction (retrieved 2026-05-24)

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