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followers: 6.0 following: 2.0 repos: 65.0 gists: 2.0

Name: Steven O'Riley

Type: User

Bio: I specialize in front and back end web development. I also have a penchant for server design and neural networks. My favorite language is JavaScript.

Blog: https://stevenoriley.com

Steven O'Riley's Projects

app-3dfreesurfs

This application will create a 3D surface for 87 freesurfer labels from the aparc+aseg.mgz file.

app-afq_figures

App to plot the fibers outputted from AFQ

This service uses Automated fiber quantification AFQ and tracking output to identify major tract segments and quantify tissue properties along their trajectories. useinterhemisphericsplit is a variable from AFQ, which if set to true will cut fibers crossing between hemispheres with a midsaggital plane below z=-10. This is to get rid of CST fibers that appear to cross at the level of the brainstem. For more information about AFQ see https://github.com/yeatmanlab/AFQ/wiki

app-afqclean

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

app-autoalignacpc

app-autoalignacpc with quick completion

app-copy

Brain Life app to copy things

app-dtiinit

app-dtiinit with quick completion

app-freesurfer

app-freesurfer with quick completion

app-life

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 properties of the connectome.

app-multi-test

Testing multi-input on brainlife with CLI

app-networkneuro

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.

app-prepareprf

A brain life app to prepare PRF and freesurfer data to be visualized with ui-3dsurfaces

app-testgradientflip

This application will provide a recommendation on which axis you should flip the bvecs of your data, if it is necessary. It will perform fiber tracking using 4 different gradient flip options (no flip, x flip, y flip, and z flip) and report the most likely flip needed for your data. The flip recommendation is made based on the flip direction with the highest number of long fibers.