Luke Bloy (bloyl)

bloyl

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Luke Bloy's repositories

DiffusionImagingTK

This is a module for ITK: The Insight Toolkit for Segmentation and Registration. It is designed to work with the ITKv4 modular system and to be places it ITK/Modules/External or uses as a Remote module. This modular is a collection of tools written to allow for analysis of diffusion weighted magnetic resonance imaging (DW-MRI / DWI).

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itkSpatialObjectWriters

collections of classes useful for writing / convertering ITK spatial objects to other formats

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3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

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brainstorm3

Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

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datasharing

The Leek group guide to data sharing

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dipy

Diffusion MR Imaging in Python

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docker-opengl

Multi-Arch Docker - Mesa 3D OpenGL Software Rendering (Gallium) - LLVMpipe, and OpenSWR Drivers

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FID-A

Toolbox for simulation and processing of in-vivo magnetic resonance spectroscopy (MRS) data

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fieldtrip

The MATLAB software toolbox for MEG and EEG analysis

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fsl_mrs

Mirror of the FSL-MRS gitlab repository

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fw-heudiconv

Heuristic-based Data Curation on Flywheel

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hnn

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

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hnn-core

Simulation and optimization of neural circuits for MEG/EEG source estimates

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ipyvtk-simple

minimal ipywidget to interface with any Python vtkRenderWindow

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itkBuildExternalModule

An example Cmake structure to show how to include External ITK modules in a project by building them outside of the ITK source tree.

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MegNET_2020

This project contains code for the manuscript "MEGnet: Automatic ICA-Based Artifact Removal for MEG using Spatiotemporal Convolutional Neural Networks".

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mne-bids

MNE-BIDS

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mne-docker

Repository for mne docker images

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mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

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mne-realtime

Realtime data analysis with MNE-Python

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mne-testing-data

Data for mne-python testing

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nipype

Workflows and interfaces for neuroimaging packages

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osprey

All-in-one toolbox for processing of magnetic resonance spectroscopy data.

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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scikit-kinematics

Python functions for working with 3D kinematics.

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spec2nii

Multi-format in vivo MR spectroscopy conversion to NIFTI

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