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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: Magn Reson Med. 2021 Aug 10;87(1):488–495. doi: 10.1002/mrm.28962

FIGURE 1.

FIGURE 1

Network design. A 2D U-Net-based architecture with four down-sampling steps and four up-sampling steps was used. 2×2 average pooling layers were used in the down-sampling track. Bilinear interpolation-based up-sampling layers followed by 2×2 convolution were used in the up-sampling track. At each resolution scale, 3 convolutional groups were sequentially applied, each consisting of 3×3 convolution followed by batch normalization and rectified linear unit (ReLU). Long skip connections were added to recover fine details in the up-sampling track. Slices of the three conventional weighted images (i.e., T1 MPRAGE, T1 GRE and T2 FLAIR) were concatenated as the 3-channel input. Slices of T1 and T2 maps formed the 2-channel target. A combination of L1 loss and SSIM loss was used as the loss function.