Neuroconductor: an R Platform for Medical Imaging Analysis

Overview

Journal Biostatistics

Publisher Oxford University Press

Specialty Public Health

Date 2018 Jan 12

PMID 29325029

Citations 18

Authors

John Muschelli

Adrian Gherman

Jean-Philippe Fortin

Brian Avants

Brandon Whitcher

Jonathan D Clayden

Brian S Caffo

Ciprian M Crainiceanu

Affiliations

Soon will be listed here.

Abstract

Neuroconductor (https://neuroconductor.org) is an open-source platform for rapid testing and dissemination of reproducible computational imaging software. The goals of the project are to: (i) provide a centralized repository of R software dedicated to image analysis, (ii) disseminate software updates quickly, (iii) train a large, diverse community of scientists using detailed tutorials and short courses, (iv) increase software quality via automatic and manual quality controls, and (v) promote reproducibility of image data analysis. Based on the programming language R (https://www.r-project.org/), Neuroconductor starts 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. We provide a description of the purpose of Neuroconductor and the user and developer experience.

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