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20182020
most citedDiffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study

5 citations · 5 across the 2 of their papers we have counts for

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cs.CV2020★ 5 cited

Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study

Alejandro Ungría Hirte, Moritz Platscher, Thomas Joyce +3

We show that high quality, diverse and realistic-looking diffusion-weighted magnetic resonance images can be synthesized using deep generative models. Based on professional neurora…