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About Neuroconductor

Neuroconductor is an open-source platform for rapid testing and dissemination of reproducible computational imaging software. The goals of the project are to:

provide a centralized repository of R software dedicated to image analysis;
disseminate quickly software updates;
educate a large, diverse community of scientists using detailed tutorials and short courses;
ensure quality via automatic and manual quality controls; and
promote reproducibility of image data analysis.

Based on the programming language R, Neuroconductor started with 51 inter-operable packages that cover multiple areas of imaging including visualization, data processing and storage, and statistical inference. Neuroconductor accepts new R package submissions, which are subject to a formal review and continuous automated testing.

Paper Citation

We have invested a lot of time and effort in creating Neuroconductor, please cite it when using it for data analysis.
Citation links

NEWS

We have added 2 new tutorials to our collection: Brain Extraction for CT and Segmentation of Hemorrhagic Stroke in CT data
Our Rxnat paper was accepted by Frontiers in Neuroinformatics.
Neuroconductor May 2020 Release is now live.

Neuroconductor and its maintainers have been partially supported by the R01 grant NS060910 from the National Institute of Neurological Disorders and Stroke at the National Institutes of Health (NINDS/NIH) and P41 grant EB015909 from the National Institute of Biomedical Imaging and Bioengineering (NIBIB/NIH). We are also grateful to the Department of Biostatistics at Johns Hopkins University for providing support during the early stages of development.

Install

Learn

Use

Develop

Installing Neuroconductor Packages

 ## try http:// if https:// URLs are not supported 
source("https://neuroconductor.org/neurocLite.R") 
neuro_install("PACKAGE")