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The heritability of the functional connectome is robust to common nonlinear registration methods., , , , , , , , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 97841R. SPIE, (2016)The modular organization of brain cortical connectivity across the human lifespan., , , , , и . NeuroImage, (2020)Mapping individual differences across brain network structure to function and behavior with connectome embedding., , , и . NeuroImage, (2021)Cortico-subcortical interactions in overlapping communities of edge functional connectivity., , , , , , , , , и . NeuroImage, (2022)Classifying Phenotypes Based on the Community Structure of Human Brain Networks., , , , , , , и . GRAIL/MFCA/MICGen@MICCAI, том 10551 из Lecture Notes in Computer Science, стр. 3-11. Springer, (2017)Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification., , , , , , , и . MICCAI (1), том 10433 из Lecture Notes in Computer Science, стр. 515-522. Springer, (2017)A comparison of network definitions for detecting sex differences in brain connectivity using Support Vector Machines., , , , , , , , , и . ISBI, стр. 961-965. IEEE, (2017)Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins., , , , , , , , , и . ISBI, стр. 1167-1171. IEEE, (2015)Population learning of structural connectivity by white matter encoding and decoding., , , , , , и . ISBI, стр. 554-558. IEEE, (2016)Comparison of template registration methods for multi-site meta-analysis of brain morphometry., , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 9788 из SPIE Proceedings, стр. 978822. SPIE, (2016)