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Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI
Undersampled magnetic resonance image (MRI) reconstruction is typically an ill-posed linear inverse task. The time and resource intensive computations require trade offs between accuracy and speed. In addition, state-of-the-art compressed sensing (CS) analytics are not cognizant of the image diagnos...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6542360/ https://ncbi.nlm.nih.gov/pubmed/30040634 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2858752 |
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