Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.
This code belongs to the paper 'Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching' available at https://arxiv.org/abs/2403.18705 [1 ...
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