Generative Adversarial Networks for Brain MRI Synthesis: Impact of Training Set Size on Clinical Application.

We evaluated the impact of training set size on generative adversarial networks (GANs) to synthesize brain MRI sequences. We compared three sets of GANs trained to generate pre-contrast T1 (gT1) from post-contrast T1 and FLAIR (gFLAIR) from T2. The baseline models were trained on 135 cases; for this...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 3; pp. 1228 - 1239
Main Authors:	Zoghby, MM, Erickson, BJ, Conte, GM
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Jun2024
Online Access:	View this record in EBSCOhost