Reverse Dependencies of dipy

The following projects have a declared dependency on dipy:

• alcoholic-tfe22540 — Framework of my master thesis on the effect of withdrawal on the white matter of alcoholic patients using dMRI data.
• antspymm — multi-channel/time-series medical image processing with antspyx
• bonndit — The bonndit package contains the latest diffusion imaging tools developed at the University of Bonn.
• brainweb — BrainWeb-based multimodal models of 20 normal brains
• conwhat — python library for connectome-based white matter atlas analyses in neuroimaging
• difit — Diffusion weighted models fitting
• dmri-rcnn — Diffusion MRI Recurrent CNN for Angular Super-resolution.
• dmriphantomutils — 3D printed diffusion phantom analysis
• dmriprep — dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
• dti-conv — A command line utility that allows easy modifications on DWI volumes and Datasets.
• dti-pipeline — A command line utility that allows easy modifications on DWI volumes and Datasets.
• dwiqc — Quality Assurance Pipeline for Diffusion MR Data
• eddymotion — Pure python eddy-current and head-motion correction for dMRI, an extension of QSIprep's SHOREline algorithm (Cieslak, 2020) to multiple diffusion models.
• EMCqMRI — A distribution of a general tool for training and inference of QMRI models
• FastMF — FastMF is a python package for microstructural property characterization using deep learning based on diffusion MRI data.
• fury — FURY - Free Unified Rendering in pYthon. A free and open-source software library for Scientific Visualization and 3D animations
• gcnn-dmri — Graph-equivariant CNNs for diffusion MRI
• m2g — Neuro Data MRI to Graphs Pipeline
• mcot.dippi — Simulates/fits DIPPI data
• mia-processes — mia_processes
• mne-gui-addons — MNE-Python GUI addons.
• mnisiscom — A simple command line tool and GUI for computing subtraction ictal SPECT coregistered to MRI (SISCOM). mnisiscom is exclusively intended for research use!
• motion-correction — Motion correction algorithms for FLIM data.
• mriqc — Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain.
• ndicom-cuda-kmeans — no summary
• ndicom-fcm — no summary
• ndicom-gauss-kernel-kmeans — no summary
• ndicom-gaussian-mixture — no summary
• ndicom-improved-kmeans — no summary
• ndicom-kernel-kmeans — no summary
• ndicom-kmeans — no summary
• ndicom-meanshift — no summary
• ndicom-region-growing — no summary
• ndicom-thresholding — no summary
• ndmg — Neuro Data MRI to Graphs Pipeline
• nipype — Neuroimaging in Python: Pipelines and Interfaces
• nlsam — Implementation of "Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising"
• phybers — Phybers: A Package for Brain Tractography Analysis.
• pilab-alcohol — Analysis pipeline
• pilab-regis — Implementation of regis
• pipetography — Pre/Post-processing pipeline for tractography wrapped around nipype and mrtrix3
• pyAFQ — pyAFQ: Automated Fiber Quantification ... in Python
• pydactim — no summary
• qsm-forward — A forward-model simulation for Quantitative Susceptibility Mapping
• radtract — Radiomic Tractometry for advanced along-tract analysis of diffusion-weighted MRI
• resomapper — Pipeline for processing MR images and generating parametric maps.
• scilpy — Scilpy: diffusion MRI tools and utilities
• tractography — The package deals with brain bundles images
• tractosearch — Fast Tractography Streamline Search
• TractSeg — Fast and accurate segmentation of white matter bundles
• trampolino — A meta-pipeline tool for tractography based on Nipype.
• ukat — UKRIN Kidney Analysis Toolbox
• unravel-python — Implementation of UNRAVEL
• wezel — Prototyping medical imaging applications