138 Works

Binary Tract Masks

Lindsey Kitchell & Soichi Hayashi
app to generate binary masks of the segmented fiber tracts

Segment tractogram into fiber categories

Franco Pestilli & Daniel Bullock
Segments all streamlines from an input tractogram in to general categories (i.e. fronto-temporal, parieto-occipital etc).

Noddi Matlab

Brad Caron
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Trekker ROI Tracking (w/csd and 5tt generation)

Soichi Hayashi, & Brad Caron
This app will internally generate a csd and 5-tissue type mask if not inputted. Because of this, it requests a high number of resources and make take a while to launch.

ROI Trekker

Soichi Hayashi, Franco Pestilli, , Brent McPherson & Brad Caron
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Track the Human Optic RAdiation (THORA) - Trekker

Brad Caron, , Franco Pestilli & Soichi Hayashi
This app uses [Trekker](https://dmritrekker.github.io) to Track the Human Optic Radiation.

Track The Human Optic RAdiation (THORA): Trekker - Eccentricity

Brad Caron
This app uses [Trekker](https://dmritrekker.github.io) to Track the Human Optic Radiation.

White matter tracts statistics and quality control

Franco Pestilli & Daniel Bullock
This brainlife.io App will compute aggregrate statistics on the white matter tracts produced on brainlife.io. Statistics such as fiber count, tract volume, etc can be used to compare across tracts, across subjects either for scientific analyses or quality control of the results.

Map pRFs in visual cortex with anatomy - copy

David Hunt
Brainlife.io app for Noah Benson's neuropythy library, retinotopy from T1 anatomy

Mrtrix2 CSD

Brad Caron
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Extract multi-tcks from wmc + wbfg or composite tck

Daniel Bullock
This application takes an input tractography amalgum (i.e. whole brain fiber group (WBFG) or composite) and, using the categories designated in the White Matter Category (WMC) input, extracts and outputs a tck file for each category into the output directory. Intended to facilitate users performing analyses offline/outside of the brainlife platform. WARNING: Submitting mismatched input TCK and WMC will result in an error, but may also result in garbage output in the event that the...

fMRIPrep - Volume Output

Daniel Levitas, David Hunt, Josh Faskowitz & Soichi Hayashi
fMRIPrep is a functional magnetic resonance imaging (fMRI) data preprocessing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to variations in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.

Extract_files

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Registration Year

  • 2019
    138

Resource Types

  • Software
    138