ANTsR: A package providing ANTs features in R as well as imaging-specific data representations, spatially regularized dimensionality reduction and segmentation tools. See also the Neuroconductor site: ANTsR interfaces state of the art image processing with R statistical methods. The project grew out of the need, at University of Pennsylvania, to develop large-scale analytics pipelines that track provenance from scanner to scientific study. ANTsR wraps an ANTs and ITK C++ core via Rcpp to access these frameworks from within R and support reproducible analyses. Specialized functionality in ANTsR includes image segmentation and registration along imaging specific variations of principal component and canonical correlation analysis.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Jörg Polzehl, Kostas Papafitsoros, Karsten Tabelow: Patch-Wise Adaptive Weights Smoothing in R (2020) not zbMATH
- Polzehl, Jörg; Tabelow, Karsten: Magnetic resonance brain imaging. Modeling and data analysis using R (2019)
- Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
- John Muschelli, Elizabeth Sweeney, Martin Lindquist, Ciprian Crainiceanu: fslr: Connecting the FSL Software with R (2015) not zbMATH