Pinned repositories

  1. encode

    Method for encoding brain connectomes in multidimensional arrays (tensors).

    Matlab 10 18

  2. abcd-spec

    Application for Big Computational Data Specification (v1.0)

    Shell 2 1

  3. brainlife.github.io

    brainlife.io home page

    HTML 1 1

  4. warehouse

    Service that allows data warehousing and workfow orchestration

    CSS 2

  • Service that allows data warehousing and workfow orchestration

    CSS 2 Updated Aug 15, 2018
  • brainlife.io home page

    HTML 1 1 Apache-2.0 Updated Aug 15, 2018
  • Matlab Updated Aug 15, 2018
  • Brainlife wrapper app for Dipy workflows.

    Shell 3 Updated Aug 14, 2018
  • Matlab Updated Aug 14, 2018
  • Split multi-shell diffusion data into a single chosen b value shell while rounding bvals

    Shell 1 Updated Aug 13, 2018
  • Application for Big Computational Data Specification (v1.0)

    Shell 2 1 Updated Aug 13, 2018
  • Brainlife Documentation

    1 Updated Aug 13, 2018
  • This app will generate nifti files for specific ROIs, or every ROI, for a parcellation (either freesurfer or atlas).

    Matlab Updated Aug 10, 2018
  • This service runs mrtrix tracking using SD_PROB, SD_STREAM, and DT_STREAM algorithms. It generates 3 separate track output for each algorithms.

    Shell 3 Updated Aug 9, 2018
  • Shell Updated Aug 9, 2018
  • This app will quickly check the dwi image to see if any bvecs directions needs to be flipped. The algorithm finds bvecs that are pointing toward certain direction and find the volume slice within 4D DWI data and see how many image slices indeed seems to contain features that are orthogonal to the bvecs directions.

    Python Updated Aug 9, 2018
  • Method for encoding brain connectomes in multidimensional arrays (tensors).

    Matlab 10 18 Updated Aug 9, 2018
  • brainlife datatype validator for neuro/dwi

    Python 2 Updated Aug 9, 2018
  • Docker container for freesurfer

    Dockerfile Updated Aug 8, 2018
  • This service uses MRtrix 0.2.12 to do ensemble tracking using tensor and constrained spherical deconvolution (csd) algorithms. It generates a large set of candidate streamlines using a tensor-based deterministic model, csd-based deterministic model, and csd-based probabilistic model. The csd-based models can be computed at lmax values of 2, 4, 6…

    Shell 1 Updated Aug 5, 2018
  • Networkneuro service will validate your tractographs with the diffusion signal and encode generated fascicles into the network. This creates networks that are lossless, in that the diffusion signal and anatomy information are preserved.

    Matlab 2 1 Updated Aug 5, 2018
  • Classifies streamlines into known anatomical tracts.

    Matlab 1 3 Updated Aug 5, 2018
  • This service allows you to submit T1 anatomical image and process it using Freesurfer, which is a software package for the analysis and visualization of structural and functional neuroimaging data from cross-sectional or longitudinal studies.

    Shell 1 2 Updated Aug 5, 2018
  • This app will perform ensemble tracking between 2 or more cortical regions of interest (ROIs) from either a freesurfer parcellation or an atlas parcellation. The app will automatically generate ROI niftis in diffusion space for tracking based on inputted ROI numbers. Inputs include: parcellation (freesurfer; atlas optional), dt6 from dtiinit, an…

    Shell 2 Updated Aug 5, 2018
  • LiFE (Linear Fasicle Evaluation) predicts the measured diffusion signal using the orientation of the fascicles present in a connectome. LiFE uses the difference between the measured and predicted diffusion signals to measure prediction error. The connectome model prediction error is used to compute two metrics to evaluate the evidence supporting…

    Matlab 1 2 Updated Aug 3, 2018
  • MRView / noVNC docker container used by brain-life UI

    Shell Updated Aug 3, 2018
  • dp Archived

    dp test

    Matlab Updated Aug 2, 2018
  • Brain-Life Command Line Interface

    JavaScript 1 2 Updated Aug 1, 2018
  • This service cleans the output from AFQ and WMA using AFQ's AFQ_removeFiberOutliers function. For more information on the inputs of this application, please read the documentation at the top of the function: https://github.com/yeatmanlab/AFQ/blob/master/functions/AFQ_removeFiberOutliers.m

    Matlab 4 Updated Jul 24, 2018
  • SOCR / Volume-based Multiple Linear Regression Analysis

    Shell Updated Jul 18, 2018
  • JavaScript 1 Updated Jul 17, 2018
  • JavaScript 1 Updated Jul 17, 2018
  • This app uses the Automatic Registration Toolbox (ART) to perform ACPC alignment of the T1 image. See https://www.nitrc.org/projects/art/ for more information.

    Shell 1 Updated Jul 13, 2018
  • Will run LAP_single example

    Python MIT Updated Jun 27, 2018