Figure 10:

Example training loss and validation SSIM curves (left) and sample reconstructions and patches for MoDL networks with K = 1, 5 iterations trained with image convolutional layers and with the proposed joint (Interleaved) layers. MoDL networks with image convolutional layers do not converge if trained directly with K = 5. Instead, a K = 1 MoDL network must be trained and used to initialize the weights of a K = 5 MoDL network. MoDL networks trained with joint layers do not require pre-training and achieve the same loss and validation SSIM values as networks trained with image convolutions in significantly less time.