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Found 4 papers, 2 papers with code
Similarity Metrics for MR Image-To-Image Translation
In this study, we give an overview of reference and non-reference metrics for image synthesis assessment and investigate the ability of nine metrics, that need a reference (SSIM, MS-SSIM, PSNR, MSE, NMSE, MAE, LPIPS, NMI and PCC) and three non-reference metrics (BLUR, MSN, MNG) to detect 11 kinds of distortions in MR images from the BraSyn dataset.
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
In recent years, deep learning has been applied to a wide range of medical imaging and image processing tasks.
fRegGAN with K-space Loss Regularization for Medical Image Translation
Generative adversarial networks (GANs) have shown remarkable success in generating realistic images and are increasingly used in medical imaging for image-to-image translation tasks.
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
In our work, we contribute a comprehensive formal analysis of the shift equivariance properties of encoder-decoder-style CNNs, which yields a clear picture of what can and cannot be achieved with metric learning in the face of same-looking objects.
