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Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA., , , и . NeuroImage, (2020)Multiple subject learning for inter-subject prediction., и . PRNI, стр. 1-4. IEEE, (2014)Brain region of interest selection for 18FDG positrons emission tomography computer-aided image classification., , , , и . IPTA, стр. 44-48. IEEE, (2014)Linear model decomposition for voltage-sensitive dye imaging signals: Application in awake behaving monkey., , , и . NeuroImage, 54 (2): 1196-1210 (2011)Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits., , , и . Medical Image Anal., (2017)ISA - an inverse surface-based approach for cortical fMRI data projection., , , , и . ISBI, стр. 1104-1107. IEEE, (2017)I learned from what you did: Retrieving visuomotor associations learned by observation., , , , и . NeuroImage, 42 (3): 1207-1213 (2008)Detectability of brain structure abnormalities related to autism through MRI-derived measures from multiple scanners., , , и . BHI, стр. 314-317. IEEE, (2014)Mapping individual differences in cortical architecture using multi-view representation learning., , , , , , и . CoRR, (2020)Inter-subject pattern analysis for multivariate group analysis of functional neuroimaging. A unifying formalization., , и . Comput. Methods Programs Biomed., (2020)