TABLE 1.

For each metric [root mean square error RMSE, mean absolute error MAE, structural similarity index measure (SSIM)] the mean and standard deviation across all subjects is shown.

	HCP	TLE	MS
RMSE
10 DW	0.046 ± 0.002	0.1 ± 0.005	0.1 ± 0.011
7 DW	0.05 ± 0.002	0.117 ± 0.023	0.113 ± 0.02
4 DW	0.069 ± 0.003	0.137 ± 0.021	0.139 ± 0.019
MAE
10 DW	0.035 ± 0.002	0.079 ± 0.005	0.078 ± 0.009
7 DW	0.039 ± 0.002	0.088 ± 0.017	0.086 ± 0.014
4 DW	0.052 ± 0.002	0.104 ± 0.015	0.107 ± 0.014
SSIM
10 DW	0.9 ± 0.008	0.743 ± 0.016	0.698 ± 0.05
7 DW	0.89 ± 0.009	0.645 ± 0.092	0.57 ± 0.096
4 DW	0.82 ± 0.014	0.544 ± 0.081	0.419 ± 0.073

Each column represents a dataset (HCP, TLE, MS) and each row represents a different network varying the number of diffusion weighted volumes as input (10, 7, 4 diffusion weighted volumes).