Abstract: This study develops a conditional Generative Adversarial Network with a multi-head Critic (cGAN_ext), under a Wasserstein GAN with gradient penalty (WGAN-GP) framework, to downscale ...
Abstract: Accurate segmentation of specific organs or diseased tissues in medical images is crucial for precise diagnosis and effective treatment planning. While fully-supervised deep learning methods ...
BNN, BLR Johansson, Fredrik, Uri Shalit, and David Sontag. "Learning representations for counterfactual inference." 33rd International Conference on Machine Learning ...
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