most citedA Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN

35 citations · 35 across the 1 of their papers we have counts for

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eess.IV2024★ 35 cited

A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN

Cristiana Tiago, Andrew Gilbert, Ahmed S. Beela +3

Due to privacy issues and limited amount of publicly available labeled datasets in the domain of medical imaging, we propose an image generation pipeline to synthesize 3D echocardi…