Robustness of Representative Signals Relative to Data Loss Using Atlas-Based Parcellations
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DOI: 10.1007/s10548-018-0647-6
Abstract: Parcellation-based approaches are an important part of functional magnetic resonance imaging data analysis. They are a necessary processing step for sorting data in structurally or functionally homogenous regions. Real functional magnetic resonance imaging datasets usually… read more here.
Keywords: representative signals; relative data; robustness representative; signals relative ... See more keywords