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Number of Published Papers on DL Reconstruction Architectures focusing on Residual Learning (RL), Image Representation using Encoders and Decoders (IR-ED), Data-consistency Layers and Unrolled Networks (DC-UN), Learned Activations and Attention Modules (LA-AM), and Plug-and-play Priors, Diffusion Models, and Bayesian Methods (PDBM).
