Yohan Yee's Projects
A tool for domain experts to find recent and relevant public discourse on topics they are familiar with
Scripts to map a volumetric atlas to CIVET surfaces
Neural Networks to play Endless Lake
Prepare and visualize volumetric imaging data using ggplot
Website for the 2020 OHBM Hackathon (Location: 3rd planet from the Sun)
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)
Relaxation methods to numerically solve Laplace's equation with Dirichlet, Neumann, or mixed boundary conditions
Code to compute the PSF and MTF of a CT scanner using a wire phantom...and other parts of the lab
A tutorial on plotting and visualization in R, with a focus on brain imaging
Scripts and bits of code for minc files.
Laplace's equation for measuring thickness (or other uses of streamlines) between two boundaries
An examination into the many normalization methods that exist when dealing with data in a tabular form
Code for our submission to the 2021 Octagon Health Data Science challenge
Code related to our paper on structural covariance between the thalamus and cortex
Python+Qt5 Interface for quickly quality-controlling arbitrary sets of images
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:
Helpful scripts that I've repeatedly used
A Python framework to construct and train artificial neural networks. Created to teach myself neural nets rather than optimized for speed.
Devtools based installer for SimpleITK R installer.
R and Python code for working with structural covariance networks