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Applications of generative adversarial networks in neuroimaging and clinical neuroscience
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to the broader family of generative methods, which learn to generate realistic data with a probabilistic model by learning distributions from real...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992336/ https://www.ncbi.nlm.nih.gov/pubmed/36702211 http://dx.doi.org/10.1016/j.neuroimage.2023.119898 |