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Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging
Accelerating data acquisition in magnetic resonance imaging (MRI) has been of perennial interest due to its prohibitively slow data acquisition process. Recent trends in accelerating MRI employ data-centric deep learning frameworks due to its fast inference time and ‘one-parameter-fit-all’ principle...
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| Pubblicato in: | Proc IEEE Int Symp Biomed Imaging |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7717063/ https://ncbi.nlm.nih.gov/pubmed/33282118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi45749.2020.9098684 |
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