This project explores autoencoders, a class of neural networks used for unsupervised learning. Specifically, we focus on using autoencoders to remove noise from images and restore corrupted images. We ...
This project, developed under Erasmus MC, Rotterdam, focuses on the reconstruction and counterfactual generation of medical images using diffusion models, latent space analysis, and various ...
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