pcamach2's Projects
Readthedocs compatible
Testing compute performance and comparing denoising methods for 7 Tesla Diffusion Weighted Imaging
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
Demo for containerizing applications with Docker and Singularity
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
PyTorch implementation of FastSurferCNN
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.
Shell and python utilities for gathering Freesurfer stats into csv format
Automated mapping of T2 white matter hyperintensities using FSL
Massively Parallel, Portable, and Reproducible Tractography (MaPPeRTrac). A probabilistic diffusion MRI tractography pipeline for high performance computing. Generates edge-centric connectomes and edge density images. Highly extensible.
Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute
GitHub Pages for MRFIL Lab
Workflows and interfaces for neuroimaging packages
Example code for generating Vietoris-Rips complex persistent homology plots from resting-state functional connectivity NxN Pearson correlation matrices
defacing utility for MRI images
Preprocessing and reconstruction of diffusion MRI
Builds the dependencies for qsiprep
BIDS-compatible quantitative susceptibility mapping report generation to compare SWI sequences
modified Duke BIAC resting-state fc pipeline with SUIT parcellations added
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)