Explore projects

A Flywheel gear to import MEG metadata from files

Gearification of Sybil Lung Cancer Risk Prediction (https://github.com/reginabarzilaygroup/Sybil)

This is a set of python and R routines for converting imaging and mask information to radiomic features and perform simple classification task.

Using R & Python, this R Shiny application was developed to visualize and interact with high-throughput data

Three variants of regression models based on deep neural networks, random forest, and gradient boosting to predict chromatin interaction strength.

Created by Cooper Mellema in Dr. Montillo's Deep Learning Lab University of Texas Southwestern Medical Center Lyda Hill Dept. of Bioinformatics Project centered around using different causal measures to infer Effective connectivity and DL properties

Cooper Mellema - MSTP student Parkinson's MRI & MEG machine learning identification and classification project

An introduction to singularity

BFei's student group project placenta segmentator

AI segmentation for axial T2W MR Autosomal Dominant Polycystic Kidney Disease (https://github.com/aksg87/adpkd-segmentation-pytorch)