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. Author manuscript; available in PMC: 2022 Aug 31.

Published in final edited form as: Med Image Comput Comput Assist Interv. 2021 Sep 21;12903:231–240. doi: 10.1007/978-3-030-87199-4_22

Table 1.

The comparison of R²AE-dCCA with other five methods.

_Methods╲^Metrics	Conventional		Connectome Specific
_Methods╲^Metrics	MAE	r	Corr_percl	VIn	MIn
GLM [20]	.272 ± .040	.304 ± .086	.302 ± .090	.553 ± .055	.213 ± .072
MKML [21]	.257 ± .046	.534 ± .081	.542 ± .079	.460 ± .044	.338 ± .066
CCA-TSW [10]	.247 ± .048	.549 ± .083	.546 ± .056	.451 ± .057	.349 ± .085
Pixel2Pixel GAN [22]	.316 ± .088	.426 ± .076	.212 ± .093	.448 ± .051	.330 ± .070
R²AE-dCCA no R-Net	.239 ± .050	.592 ± .089	.568 ± .095	.442 ± .056	.365 ± .066
R²AE-dCCA (proposed)	.227 ± .050	.614 ± .084	.583 ± .010	.427 ± 0.51	.379 ± .062