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Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks
A magnetic resonance imaging (MRI) exam typically consists of the acquisition of multiple MR pulse sequences, which are required for a reliable diagnosis. With the rise of generative deep learning models, approaches for the synthesis of MR images are developed to either synthesize additional MR cont...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404922/ https://www.ncbi.nlm.nih.gov/pubmed/34460769 http://dx.doi.org/10.3390/jimaging7080133 |