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Best practices in data analysis and sharing in neuroimaging using MRI
Given concerns about the reproducibility of scientific findings, neuroimaging must define
best practices for data analysis, results reporting, and algorithm and data sharing to promote …
best practices for data analysis, results reporting, and algorithm and data sharing to promote …
Reproducibility in neuroimaging analysis: challenges and solutions
Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …
[HTML][HTML] Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
A wealth of analysis tools are available to fMRI researchers in order to extract patterns of
task variation and, ultimately, understand cognitive function. However, this “methodological …
task variation and, ultimately, understand cognitive function. However, this “methodological …
Implementation errors in the GingerALE Software: description and recommendations
Neuroscience imaging is a burgeoning, highly sophisticated field the growth of which has
been fostered by grant‐funded, freely distributed software libraries that perform voxel‐wise …
been fostered by grant‐funded, freely distributed software libraries that perform voxel‐wise …
Computational reproducibility in archaeological research: Basic principles and a case study of their implementation
B Marwick - Journal of Archaeological Method and Theory, 2017 - Springer
The use of computers and complex software is pervasive in archaeology, yet their role in the
analytical pipeline is rarely exposed for other researchers to inspect or reuse. This limits the …
analytical pipeline is rarely exposed for other researchers to inspect or reuse. This limits the …