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Yohan Yee's Projects

brainfeed icon brainfeed

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

ggslicer icon ggslicer

Prepare and visualize volumetric imaging data using ggplot

hackathon2020 icon hackathon2020

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

igraph2json icon 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)

laplace-relaxation icon laplace-relaxation

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

mbp1024 icon mbp1024

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

miceviz icon miceviz

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

minclaplace icon minclaplace

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

normtools icon normtools

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

octagon2021 icon octagon2021

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

pyqc icon pyqc

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

rminc icon 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:

scripts icon scripts

Helpful scripts that I've repeatedly used

simple-neural-net icon simple-neural-net

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

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