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Found 3 papers, 1 papers with code
Adversarial Data Augmentation via Deformation Statistics
Data augmentation or semi-supervised approaches are commonly used to cope with limited labeled training data.
Anatomical Data Augmentation via Fluid-based Image Registration
We introduce a fluid-based image augmentation method for medical image analysis.
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
To that end, we incorporate steerable filter responses of the generated and reference images inside a Huber function loss term.
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