most citedXCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms

22 citations · 22 across the 1 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2020★ 22 cited

XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms

Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil +4

Generative adversarial networks (GANs) have provided promising data enrichment solutions by synthesizing high-fidelity images. However, generating large sets of labeled images with…

eess.IV2020

3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images

Cheryl Sital, Tom Brosch, Dominique Tio +2

Automatic segmentation of anatomical structures with convolutional neural networks (CNNs) constitutes a large portion of research in medical image analysis. The majority of CNN-bas…