NeuroLibre Reproducible Preprints: in Jupyter Notebook

All Preprints
4
 Published Preprints
2
 Active Preprints
2
published

NiMARE: Neuroimaging Meta-Analysis Research Environment

 Jupyter Notebook JavaScript Python

Taylor Salo, Tal Yarkoni, Thomas E. Nichols, Jean-Baptiste Poline, Murat Bilgel, Katherine L. Bottenhorn, Dorota Jarecka, James D. Kent, Adam Kimbler, Dylan M. Nielson, Kendra M. Oudyk, Julio A. Peraza, Alexandre Pérez, Puck C. Reeders, Julio A. Yanes, Angela R. Laird

published

An interactive meta-analysis of MRI biomarkers of myelin

 R Jupyter Notebook

Matteo Mancini, Agah Karakuzu, Julien Cohen-Adad, Mara Cercignani, Thomas E. Nichols, Nikola Stikov

Displaying all 2 papers
Submission-ready reproducible preprints are listed below.
SUBMISSION READY

A highly predictive signature (HPS) of Alzheimer's disease dementia from cognitive and structural brain features

 Jupyter Notebook AD

A jupyter notebook containing analyses that give a highly predictive signature (HPS) of Alzheimer's disease dementia from cognitive and structural features using simulated data.

SUBMISSION READY

Introduction to machine learning with Nilearn

 Jupyter Notebook Machine Learning

An introductory tutorial for using the popular Nilearn software package to perform machine learning analyses with neuroimaging data.

SUBMISSION READY

Quantitative T1 mapping

 Quantitative MRI Relaxometry

This tutorial provides an introduction to quantitative T1 mapping, from an MRI physics perspective. Some widely used techniques are covered, such as MP2RAGE, variable flip angle (VFA) and inversion-recovery T1 mapping.

UNDER PREPARATION

Image processing with Spinal Cord Toolbox (SCT)

 Spinal Cord MRI Software

This executable book will present an example analysis pipeline using the Spinal Cord Toolbox (SCT), a suite of tools specialized for analysis of spinal cord MRI images of the spinal.