yohanyee

ABIgeneRMINC

brainfeed

A tool for domain experts to find recent and relevant public discourse on topics they are familiar with

civet_volumetric_atlas

Scripts to map a volumetric atlas to CIVET surfaces

ggslicer

Prepare and visualize volumetric imaging data using ggplot

laplace-relaxation

Relaxation methods to numerically solve Laplace's equation with Dirichlet, Neumann, or mixed boundary conditions

miceviz

A tutorial on plotting and visualization in R, with a focus on brain imaging

normtools

An examination into the many normalization methods that exist when dealing with data in a tabular form

project-subdividing-the-thalamus

Code related to our paper on structural covariance between the thalamus and cortex

RMINC

Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Jim Nikelski and Matthijs van Eede. Some additional information can be found here:

StructuralCovariance

R and Python code for working with structural covariance networks

yohanyee/brainfeed

A tool for domain experts to find recent and relevant public discourse on topics they are familiar with

yohanyee/ggslicer

Prepare and visualize volumetric imaging data using ggplot

yohanyee/civet_volumetric_atlas

Scripts to map a volumetric atlas to CIVET surfaces

yohanyee/laplace-relaxation

Relaxation methods to numerically solve Laplace's equation with Dirichlet, Neumann, or mixed boundary conditions

yohanyee/miceviz

A tutorial on plotting and visualization in R, with a focus on brain imaging

yohanyee/RMINC

Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Jim Nikelski and Matthijs van Eede. Some additional information can be found here:

yohanyee/StructuralCovariance

R and Python code for working with structural covariance networks

yohanyee/ABIgeneRMINC

yohanyee/endless-nn

Neural Networks to play Endless Lake

yohanyee/hackathon2020

Website for the 2020 OHBM Hackathon (Location: 3rd planet from the Sun)

yohanyee/igraph2json

Convert an R igraph object to a JSON representation and plot in a group-in-a box layout (see https://bl.ocks.org/rpgove/386b7a28977a179717a460f9a541af2a)

yohanyee/normtools

An examination into the many normalization methods that exist when dealing with data in a tabular form

yohanyee/project-subdividing-the-thalamus

Code related to our paper on structural covariance between the thalamus and cortex

yohanyee/mbp1024

Code to compute the PSF and MTF of a CT scanner using a wire phantom...and other parts of the lab

yohanyee/minc-stuffs

Scripts and bits of code for minc files.

yohanyee/minclaplace

Laplace's equation for measuring thickness (or other uses of streamlines) between two boundaries

yohanyee/octagon2021

Code for our submission to the 2021 Octagon Health Data Science challenge

yohanyee/PyQC

Python+Qt5 Interface for quickly quality-controlling arbitrary sets of images

yohanyee/R-tutorial

R tutorial

yohanyee/scripts

Helpful scripts that I've repeatedly used

yohanyee/simple-neural-net

A Python framework to construct and train artificial neural networks. Created to teach myself neural nets rather than optimized for speed.

yohanyee/SimpleITKRInstaller

Devtools based installer for SimpleITK R installer.