22 citations · 23 across the 4 of their papers we have counts for
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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★ 1 cited
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…