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. 2023 Jan 10;13:1051397. doi: 10.3389/fneur.2022.1051397

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Copyright © 2023 Kossen, Madai, Mutke, Hennemuth, Hildebrand, Behland, Aslan, Hilbert, Sobesky, Bendszus and Frey.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Mean performance metrics for evaluating the similarity between the ground truth and the synthesized parameter maps generated by the pix2pix GAN (green) and the temp-pxi2pix GAN (blue) on the PEGASUS dataset. (A, B) Show the mean absolute error (MAE) and normalized mean root squared error (NRMSE), respectively (the lower, the better). (C, D) Show the structural similarity index measure (SSIM) and the peak-signal-to-noise-ratio (PSNR) (the higher, the better). For most metrics and parameter maps, the temp-pix2pix architecture shows a better performance compared with the pix2pix GAN. In terms of the metrics, the generated MTT maps showed the worst performance. The error bar represents the standard deviation.