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Found 3 papers, 2 papers with code
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
Our goal is to summarize the data to decrease computational costs and memory footprint of subsequent analysis.
Fast clustering for scalable statistical analysis on structured images
The use of brain images as markers for diseases or behavioral differences is challenged by the small effects size and the ensuing lack of power, an issue that has incited researchers to rely more systematically on large cohorts.
Variable density sampling with continuous trajectories. Application to MRI
Its standard design relies on the random drawing of independent measurements.
Applications
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