Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement
Thorough review on unsupervised deep learning methods including self-supervised methods and generative model-based methods for biological image reconstruction and enhancement is provided.
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning
Unsupervised deep learning for simultaneous super-resolution and motion artifact removal of diffusion-weighted MRI scans is proposed.
Missing Cone Artifacts Removal in ODT using Unsupervised Deep Learning in Projection Domain
Unsupervised missing-cone resolving method is proposed in the context of ODT.