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Found 3 papers, 2 papers with code
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.
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