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Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI
Ultra-high field 7T magnetic resonance imaging (MRI) scanners produce images with exceptional anatomical details, which can facilitate diagnosis and prognosis. However, 7T MRI scanners are often cost prohibitive and hence inaccessible. In this paper, we propose a novel wavelet-based semi-supervised...
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| Gepubliceerd in: | Med Image Comput Comput Assist Interv |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7065678/ https://ncbi.nlm.nih.gov/pubmed/32161933 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32251-9_86 |
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