Software platform for clinical neuroimaging studies

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

Code for performing static, dynamic and real-time shimming using external and internal MRI shim coils

Brain Extraction Tool in Python

Small Animal Magnetic Resonance Imaging via Python.

The project is used to do preprocessing on brain MR images by using Nipype.

Tools for dealing with neuroimaging data in the BIDS structure

ElikoPy is Python library aiming at easing the processing of diffusion imaging for microstructural analysis.

PNH segmentation pipelines based on nipype

Quantitative MRI toolbox in Python

Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"

Preprocess head CT scans using python!

A CNN based classification model for 3D NIfTI MRIs of the brain.

Automated quality control tools for diffusion MRI data

Pydra tasks for FSL designed for Clinica

Preprocessing fMRI scans, localizing the brain area that processes faces.

🧠 Standardized fMRI preprocessing and analysis framework with fMRIPrep integration and interactive TUI for reproducible neuroimaging research across multiple studies at Stanford Memory Lab.

FSL integration using Python and Docker. Streamline neuroimaging workflows with ease.

Multi-Agentic adaptive FreeSurfer/FSL Registration, ROI-detection, Segmentation, Clustering, Visualisation and Anomaly detection System for DiCOM and NiFTi images and sequences