Generative adversarial network
Deep learning method
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MRI synthesis (1) · Generative Adversarial Networks (1) · BraTS 2020 (1) · Deep Learning (1) · T1-to-T2 reconstruction (1) · Medical Imaging (1)
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A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's gain is another agent's loss.
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🇺🇸 MRI Cross-Modal Synthesis: A Comparative Study of Generative Models for T1-to-T2 Reconstruction
arXiv:2602.07068v1 Announce Type: cross Abstract: MRI cross-modal synthesis involves generating images from one acquisition protocol using another, o...
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