Before revision:  This study presents  : IVIM-NET_{optim}, overcoming IVIM-NET_{orig . {\bf Method}: In simulations (SNR=20), the accuracy, independence and consistency of IVIM-NET were evaluated for combinations of hyperparameters (fit S0, constraints, network architecture, # hidden layers, dropout, batch normalization, learning rate), by calculating the NRMSE, Spearman's \rho, and the coefficient of variation (CV_{NET}), respectively.
After revision:  This study presents an improved version : IVIM-NET_{optim}, overcoming IVIM-NET_{orig . {\bf Method}: In simulations (SNR=20), the accuracy, independence and consistency of IVIM-NET were evaluated for combinations of hyperparameters (fit S0, constraints, network architecture, # hidden layers, dropout, batch normalization, learning rate), by calculating the NRMSE, Spearman's \rho, and the coefficient of variation (CV_{NET}), respectively.