Andrea Leo

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts

2022 · The Journal of Machine Learning for Biomedical Imaging

Thanks to their ability to learn flexible data-driven losses, Generative Adversarial Networks (GANs) are an integral part of many semi- and weakly-supervised methods for medical image segmentation. GANs jointly optimise a generator and an adversarial …