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Hi there. I'm Saige, like the spice and wiseman 👋

🧠 Ph.D. candidate studying value-based machine learning in healthcare at Radboud University Medical Center.

💻 Part time (remote) data scientist in the Department of Psychiatry at the University of Michigan.

🇺🇸 American living in Germany with my dog, Charlie-Mop 🐶.

🌱 Currently learning: MLOps, Federated Learning, Ethical A.I.

💬 Love to talk about: meditation, computer science, cognitive neuroscience, open science.

😄 Pronouns: she/her

⚡ Fun fact: I'm also writing a book about my personal journey into computer science from a non-traditional background.

Saige Rutherford's Projects

aromaexample icon aromaexample

Shell scripts and example files to run FSL's ICA-AROMA motion denoising tool

bids-starter-kit icon bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

bigdata-stuttering icon bigdata-stuttering

Code to reproduce analysis from https://www.biorxiv.org/content/10.1101/2020.10.28.359711v1.abstract

bisweb icon bisweb

This is the repository for the BioImage Suite Web Project

brainsforpublication icon brainsforpublication

Code and documentation for the Brains for Publication proposal for the 2016 OHBM Hackathon

builder-labjs icon builder-labjs

drop your labjs experiments into the experiments folder, and build --> deploy !!

cifti_fmri_workflow icon cifti_fmri_workflow

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.

cluster_roi icon cluster_roi

Python script to perform the spatially constrained parcellation of functional MRI data as described in Craddock et al., Human Brain Mapp., 33 (9) 2012

cogspaces icon cogspaces

Leveraging multiple fMRI studies to predict cognitive states from brain maps.

confounds icon confounds

Conquering confounds and covariates in machine learning

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cpc_ml_tutorial icon cpc_ml_tutorial

Code & Data for Computational Psychiatry Course Tutorial on Machine Learning

deepmedic icon deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

dvars icon dvars

Insight & Inference for DVARS: 3-part variance decomposition, gives units & p-values to DVARS measures as well as spatiotemporal rs-fMRI diagnostic.

encode icon encode

Method for encoding brain connectomes in multidimensional arrays (tensors).

expfactory icon expfactory

software to generate a reproducible container with a battery of experiments

fetal-code icon fetal-code

Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data

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