A 3D auto-encoding GAN with Wasserstein gradient penalty generates diverse, realistic whole-brain MRI volumes from random vectors, including tumor and stroke cases.
Pro- ceedings of SPIE–the International Society for Optical Engineering 10574 (2018)
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Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
A 3D auto-encoding GAN with Wasserstein gradient penalty generates diverse, realistic whole-brain MRI volumes from random vectors, including tumor and stroke cases.