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...

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Detalles Bibliográficos
Autores principales: Wang, Rongguang, Bashyam, Vishnu, Yang, Zhijian, Yu, Fanyang, Tassopoulou, Vasiliki, Chintapalli, Sai Spandana, Skampardoni, Ioanna, Sreepada, Lasya P., Sahoo, Dushyant, Nikita, Konstantina, Abdulkadir, Ahmed, Wen, Junhao, Davatzikos, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
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

Internet

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

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