On September 16th 2022, Cristiana Tiago (ESR 4) successfully saw her paper, “A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN”, published on IEEE Access Journal. The proposed work focuses on developing an automatic pipeline, using Deep Learning methods, to generate labeled datasets of 3D echocardiography images. The data augmentation tool presented on the paper relies on Deep Generative Models to synthesize 3D echocardiography images with corresponding anatomical labels and on using these datasets to train 3D segmentation algorithms.

ESR 6 also contributed to the paper which can be found here for further information.