Reproducibility Made Easy

The ‘Reproducibility Made Easy’ application provides researchers and clinicians the ability to comprehensively document study parameters. It automates table population from a single datafile, facilitating result replication, and method evaluation. This software also generates a straight-forward MRS methods section which ensures reporting accuracy and result interpretability.

Overview of Objectives and Goals

Objectives:

The primary goal is to automate the MRSinMRS Table population and methods section generation.

How to get involved

This project is currently in the process of being written up for publication. However, if you would like to get involved as this project continues to develop, please contact a team member below!

Contact Us

Gianna
Nossa

PhD Candidate
gnossa@purdue.edu

Purdue University
School of Health Sciences

W Lafayette, Indiana

Antonia
Kaiser

Postdoctoral Fellow
antonia.kaiser@epfl.ch

École Polytechnique Fédérale de Lausanne,
Center for Biomedical Imaging
Lausanne, Switzerland

Antonia
Susnjar

Postdoctoral Fellow
asusnjar@mgh.harvard.edu

Harvard University
School of Medicine

Boston, Massachusetts

Dunja
Simicic

Postdoctoral Fellow
dsimici1@jh.edu

Johns Hopkins
School of Medicine
Kennedy Krieger Insitute
Baltimore, Maryland

Aaron Gudmundson

Research Associate
agudmun2@jhmi.edu

Johns Hopkins
School of Medicine
Kennedy Krieger Insitute
Baltimore, Maryland