https://github.com/antsx/antsr

R interface to the ANTs biomedical image processing library

https://github.com/antsx/antsr

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
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    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: ncbi.nlm.nih.gov, nature.com
  • Committers with academic emails
    4 of 25 committers (16.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary

Keywords

brain decomposition mri r registration segmentation

Keywords from Contributors

image-registration medical-image-processing neuroimaging image-analysis insight-toolkit itk medical-imaging numfocus open-science convolutional-neural-networks
Last synced: 5 months ago · JSON representation

Repository

R interface to the ANTs biomedical image processing library

Basic Info
Statistics
  • Stars: 135
  • Watchers: 25
  • Forks: 35
  • Open Issues: 43
  • Releases: 29
Topics
brain decomposition mri r registration segmentation
Created over 13 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog License Code of conduct

README.md

Advanced Normalization Tools in R

R-CMD-check Downloads Binder Contributor Covenant

ANTsR is an R package which wraps the well-established C++ biomedical image processing library ANTs. It includes efficient reading and writing of medical images, algorithms for registration, segmentation, and statistical learning, as well as functions to create publication-ready visualizations.

If you are looking to train deep learning models on your medical images in R, you might be interested in ANTsRNet which provides pre-trained models and utilities for training deep learning models on medical images.


Installation

The ANTsR package can be installed the pre-compiled binaries (fast) or from source. We are actively working on getting ANTsR onto a host like CRAN or BioConductor.

Pre-compiled binaries

The fastest way to install ANTsR is from pre-compiled binaries made available on the Releases Page. However, you must first install the ANTsRCore package, whose pre-compiled binaries are available on its own Releases Page. Download the relevant versions for both pacakges and run this from the command-line:

R CMD INSTALL ANTsRCore_*.tgz R CMD INSTALL ANTsR_*.tgz

From source using devtools

To install ANTsR from source, you can use devtools to install the latest version of the code directly form GitHub. This should also automatically install the main dependencies like the ANTsRCore package.

R devtools::install_github('ANTsX/ANTsR')

From source using R CMD INSTALL

Alternatively, you can clone and install ANTsR and its two main dependencies (ANTsRCore, ITKR) and then install them as you would traditional R source packages.

First, clone the repositories:

sh $ git clone https://github.com/stnava/ITKR.git $ git clone https://github.com/ANTsX/ANTsRCore.git $ git clone https://github.com/ANTsX/ANTsR.git

Install the package as follows:

sh $ R CMD INSTALL ITKR $ R CMD INSTALL ANTsRCore $ R CMD INSTALL ANTsR


Developer notes

Authors

Brian B. Avants (maintainer), Benjamin M. Kandel, Jeff T. Duda, Philip A. Cook, Nicholas J. Tustison

License

Apache License 2.0


Relevant links

ANTsR Instagram

DOI 10.17605/osf.io/bsq5v

Reference manual: ANTsR

Vignettes:

Wiki: Notes and work in progress examples

Package source: from github

Binaries: here

Windows installation option here

Suggested packages https://github.com/stnava/ANTsRDocker/blob/master/install.R


Research using ANTsR


Contributing

If you have a question or need help solving a problem, please create an issue on GitHub. If you want to contribute code or have a feature request, creating an issue on GitHub is also the best place to start.

Owner

  • Name: Advanced Normalization Tools Ecosystem
  • Login: ANTsX
  • Kind: organization
  • Location: Cambridge, MA; Philadelphia, PA; Southern California

Ecosystem supporting multi-modality biomedical image analysis across programming languages.

GitHub Events

Total
  • Issues event: 18
  • Watch event: 7
  • Delete event: 20
  • Issue comment event: 54
  • Push event: 105
  • Pull request event: 40
  • Create event: 19
Last Year
  • Issues event: 18
  • Watch event: 7
  • Delete event: 20
  • Issue comment event: 54
  • Push event: 105
  • Pull request event: 40
  • Create event: 19

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 4,529
  • Total Committers: 25
  • Avg Commits per committer: 181.16
  • Development Distribution Score (DDS): 0.287
Past Year
  • Commits: 185
  • Committers: 4
  • Avg Commits per committer: 46.25
  • Development Distribution Score (DDS): 0.227
Top Committers
Name Email Commits
stnava s****a@g****m 3,228
muschellij2 m****2@g****m 316
Jeffrey Duda j****a@g****m 267
Nick Tustison n****n@g****m 242
Ben Kandel b****l@s****u 199
Shrinidhi KL n****i@g****m 87
ncullen93 n****n@m****e 48
armaneshaghi a****i@g****m 45
dorianps d****s 38
Philip Cook c****a@p****u 21
Stefan Schlager z****2@g****m 7
Tokazama z****7@g****m 6
dorianps d****a@c****u 5
stnava s****a@s****) 4
Zachary Christensen Z****h@Z****l 3
Chris Hammill c****l@g****m 2
Nick Cullen n****1@y****m 2
shrinidhi s****k@s****) 2
umeshiso j****s@g****m 1
ArmanEshaghi m****c@M****l 1
Michael Stauffer m****f@v****t 1
Nick Tustison n****n@f****e 1
dorianps d****a@u****u 1
dorianps d****a@c****l 1
James Manton a****n@g****m 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 57
  • Total pull requests: 59
  • Average time to close issues: 10 months
  • Average time to close pull requests: 20 days
  • Total issue authors: 30
  • Total pull request authors: 4
  • Average comments per issue: 8.42
  • Average comments per pull request: 0.58
  • Merged pull requests: 55
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 11
  • Pull requests: 36
  • Average time to close issues: 7 days
  • Average time to close pull requests: 5 days
  • Issue authors: 7
  • Pull request authors: 3
  • Average comments per issue: 4.64
  • Average comments per pull request: 0.58
  • Merged pull requests: 33
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • muratmaga (12)
  • ptsii (10)
  • cookpa (4)
  • JPolzehl (2)
  • hegde00 (2)
  • SlicerMorph (2)
  • baboonsevolve (2)
  • stnava (1)
  • ramBrain (1)
  • adigherman (1)
  • JinDJsuper (1)
  • Ali-Mahzarnia (1)
  • DavidBarriere (1)
  • qipianmgh (1)
  • GayanSamuditha (1)
Pull Request Authors
  • ntustison (46)
  • cookpa (13)
  • ncullen93 (10)
  • muschellij2 (3)
Top Labels
Issue Labels
bug (4) notes about usage (1)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads: unknown
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 34
proxy.golang.org: github.com/antsx/antsr
  • Versions: 17
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.5%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago
proxy.golang.org: github.com/ANTsX/ANTsR
  • Versions: 17
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.5%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 5 months ago

Dependencies

DESCRIPTION cran
  • ANTsRCore >= 0.7.4 depends
  • R >= 3.0 depends
  • methods * depends
  • grDevices * imports
  • graphics * imports
  • magrittr * imports
  • stats * imports
  • utils * imports
  • BGLR * suggests
  • DMwR * suggests
  • FNN * suggests
  • MASS * suggests
  • Matrix * suggests
  • R.matlab * suggests
  • Rcpp * suggests
  • RcppEigen * suggests
  • RcppHNSW * suggests
  • abind * suggests
  • caret * suggests
  • cluster * suggests
  • corpcor * suggests
  • dplyr * suggests
  • e1071 * suggests
  • extremevalues * suggests
  • fastICA * suggests
  • fpc * suggests
  • ggplot2 * suggests
  • glasso * suggests
  • glmnet * suggests
  • grid * suggests
  • hdf5r * suggests
  • ifultools * suggests
  • igraph * suggests
  • irlba * suggests
  • knitr * suggests
  • mFilter * suggests
  • magic * suggests
  • misc3d * suggests
  • moments * suggests
  • networkD3 * suggests
  • pixmap * suggests
  • png * suggests
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  • psych * suggests
  • randomForest * suggests
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  • signal * suggests
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  • viridis * suggests
  • visreg * suggests
  • wmtsa * suggests
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Dockerfile docker
  • rocker/tidyverse 4.2.3 build