Name: Saige Rutherford
Type: User
Company: Donders Institute & UMich
Bio: Creative, curious, and kind.
Working to make systems more ethical, accessible, and useful.
Utility >> Intelligence.
Twitter: being_saige
Location: Tübingen, Germany
Blog: www.beingsaige.com
Saige Rutherford's Projects
100 Days of ML Coding
Data & code for OHBM 2019 Deep Learning Educational Course "Revamped CNNs for Brains"
Shell scripts and example files to run FSL's ICA-AROMA motion denoising tool
Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets
Code to reproduce analysis from https://www.biorxiv.org/content/10.1101/2020.10.28.359711v1.abstract
This is the repository for the BioImage Suite Web Project
Code and documentation for the Brains for Publication proposal for the 2016 OHBM Hackathon
drop your labjs experiments into the experiments folder, and build --> deploy !!
Scripts I have used to get UMich data into BIDS format, preprocessed through fMRIPrep to get CIFTI-space output data, then run task data through HCP task scripts.
Curriculum for our weekly club
Python script to perform the spatially constrained parcellation of functional MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012
Leveraging multiple fMRI studies to predict cognitive states from brain maps.
Conquering confounds and covariates in machine learning
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Code & Data for Computational Psychiatry Course Tutorial on Machine Learning
Contains all examples of our "Interactive & Dynamic Force-Directed Graphs with D3" blog post
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
Detecting Depression in Tweets using Baye's Theorem
Version control with git tutorial.
Official doxygen git repository
Insight & Inference for DVARS: 3-part variance decomposition, gives units & p-values to DVARS measures as well as spatiotemporal rs-fMRI diagnostic.
Code and data to turn https://elifesciences.org/articles/72904 into an interactive article
Method for encoding brain connectomes in multidimensional arrays (tensors).
Analysis code for the paper "Evidence for Embracing Normative Modeling"
software to generate a reproducible container with a battery of experiments
Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data