Steven Meisler's Projects
Proceeding for `load_confounds` at brainhack MTL 2020
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
BayesfMRI R package
Brain Imaging Data Structure (BIDS) Specification
ciftiTools R package
Convert Fixels back and forth from h5 files!
Reorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
Fit Linear Models to BIDS Datasets
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Gathering/Creating annot files and using them to get tsvs
Software that functionally segments white matter connections to generate task-specific subcomponents of fiber bundles.
This is a Jekyll include file that pulls from a Google Scholar csv file to output and format your publications
To convert Human Connectome projects(HCP) data to BIDS std
Load fMRIprep confounds in python
A Python implementation of John Gruberβs Markdown with Extension support.
Code used in the Meisler and Gabrieli 2022 eLife paper on fixel based analyses of reading abilities.
Code used in Meisler and Gabrieli 2022
Code used in the Meisler, Gabrieli, and Christodoulou 202X paper on DWI correlates of reading intervention.
ModelArray: a memory-efficient R package for statistical analysis of fixel data (modified for surface-based morphometry)
A modern curriculum vitae class for LaTeX
OHBM work space
runs MVPA and RSA analysis BIDS bold derivative data
Preprocessing and reconstruction of diffusion MRI
Susceptibility Distortion Correction (SDC) workflows for EPI MR schemes
Config files for my GitHub profile.
ππ« Steven Meisler's website, originally forked from mmistakes/minimal-mistakes
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Synthetic BOLD images for distortion correction of fMRI without additional calibration scans
Synthstrip integration to be used across nipreps