Super-resolution of magnetic resonance images using Generative Adversarial Networks
Magnetic Resonance Imaging (MRI) typically comes at the cost of small spatial coverage, high expenses and long scan times. Accelerating MRI acquisition by taking less measurements yields the potential to relax these inherent forfeits. Recent breakthroughs in the field of Machine Learning have shown...
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Veröffentlicht in: | Computerized medical imaging and graphics 2023-09, Vol.108, p.102280-102280, Article 102280 |
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