Listar por autor "Adali, Tülay"
Mostrando ítems 1-2 de 2
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A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis
Sun, Mingyu; Gabrielson, Ben; Akhonda, Mohammad Abu Baker Siddique; Yang, Hanlu; Laport López, Francisco; Calhoun, Vince; Adali, Tülay (MDPI, 2023-06)[Abstract]: Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the ... -
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool
Laport López, Francisco; Dapena, Adriana; Vu, Trung; Yang, Hanlu; Calhoun, Vince; Adali, Tülay (2024-08)[Abstract]: Matrix decomposition techniques have been successfully applied in the analysis of multi-subject functional magnetic resonance imaging (fMRI) data. These data-driven approaches that assume the linear blind ...