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An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow., , , , , , , , и . J. Digit. Imaging, 33 (4): 1041-1046 (2020)Effects of rejecting diffusion directions on tensor-derived parameters., , , и . NeuroImage, (2015)Spatial HARDI: Improved visualization of complex white matter architecture with Bayesian spatial regularization., , и . NeuroImage, 54 (1): 396-409 (2011)An extensive assessment of network alignment algorithms for comparison of brain connectomes., , , , , , и . BMC Bioinform., 18 (6): 31-45 (2017)Motion-Compensated 3-D Generalized Series Imaging. University of Illinois Urbana-Champaign, USA, (1999)QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field., , , и . CoRR, (2019)Using Network Alignment for Analysis of Connectomes: Experiences from a Clinical Dataset., , , , , и . BCB, стр. 649-656. ACM, (2016)Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntington's disease., , , , , , , , , и 3 other автор(ы). NeuroImage, (2023)A neuronet approach to information fusion., , , и . MMSP, стр. 45-50. IEEE, (1997)QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field., , , , и . NeuroImage, (2020)