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MoDL: Proposed MOdel-based Deep Learning framework for image reconstruction. (a) shows the CNN based denoising block Dw. (b) is the recursive MoDL framework that alternates between denoiser in (10b) and the data-consistency (DC) layer in (11). (c) is the unrolled architecture for K iterations. The denoising blocks share the weights across all the K iterations.
