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Found 2 papers, 1 papers with code
A Foundation Model for Cell Segmentation
Methods that have learned the general notion of "what is a cell" and can identify them across different domains of cellular imaging data have proven elusive.
Teaching computational reproducibility for neuroimaging
This allowed us to teach: (a) computational tools to ensure computationally reproducible work, such as the Unix command line, structured code, version control, automated testing, and code review and (b) a clear understanding of the statistical techniques used for a basic analysis of a single run in an MRI scanner.
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