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20172026
most citedDeep Generative Adversarial Networks for Compressed Sensing Automates MRI

132 citations · 350 across the 6 of their papers we have counts for

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Showing 2019Show all

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eess.IV2019

Joint multi-contrast Variational Network reconstruction (jVN) with application to rapid 2D and 3D imaging

Daniel Polak, Stephen Cauley, Berkin Bilgic +4

Purpose: To improve the image quality of highly accelerated multi-channel MRI data by learning a joint variational network that reconstructs multiple clinical contrasts jointly. Me…