SlicerDMRI / Slicerdmri
Licence: other
Diffusion MRI analysis and visualization in 3D Slicer open source medical imaging platform.
Stars: ✭ 34
Labels
Projects that are alternatives of or similar to Slicerdmri
dmipy
The open source toolbox for reproducible diffusion MRI-based microstructure estimation
Stars: ✭ 58 (+70.59%)
Mutual labels: neuroimaging
Dipy
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.
Stars: ✭ 417 (+1126.47%)
Mutual labels: neuroimaging
NeuroCore.jl
Core methods and structures for neuroscience research in Julia.
Stars: ✭ 15 (-55.88%)
Mutual labels: neuroimaging
Slicer
Multi-platform, free open source software for visualization and image computing.
Stars: ✭ 263 (+673.53%)
Mutual labels: neuroimaging
Nilearn
Machine learning for NeuroImaging in Python
Stars: ✭ 712 (+1994.12%)
Mutual labels: neuroimaging
pTFCE
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
Stars: ✭ 29 (-14.71%)
Mutual labels: neuroimaging
Pycortex
Pycortex is a python-based toolkit for surface visualization of fMRI data
Stars: ✭ 383 (+1026.47%)
Mutual labels: neuroimaging
fmriflows
fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.
Stars: ✭ 40 (+17.65%)
Mutual labels: neuroimaging
visualqc
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
Stars: ✭ 56 (+64.71%)
Mutual labels: neuroimaging
Dcm2niix
dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC
Stars: ✭ 364 (+970.59%)
Mutual labels: neuroimaging
mrivis
medical image visualization library and development toolkit
Stars: ✭ 19 (-44.12%)
Mutual labels: neuroimaging
Fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
Stars: ✭ 481 (+1314.71%)
Mutual labels: neuroimaging
easylearn dev
Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other…
Stars: ✭ 29 (-14.71%)
Mutual labels: neuroimaging
Slicergitsvnarchive
Multi-platform, free open source software for visualization and image computing.
Stars: ✭ 896 (+2535.29%)
Mutual labels: neuroimaging
Nipype
Workflows and interfaces for neuroimaging packages
Stars: ✭ 557 (+1538.24%)
Mutual labels: neuroimaging
Fmriprep
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.
Stars: ✭ 377 (+1008.82%)
Mutual labels: neuroimaging
SlicerDMRI
Diffusion MRI in 3D Slicer open-source medical imaging software
Website: http://slicerdmri.github.io/
Wiki: https://github.com/SlicerDMRI/SlicerDMRI/wiki
CDash for extensions: http://slicer.cdash.org
For publications please include this text (modifying the initial part to describe your SlicerDMRI use case):
"We performed diffusion MRI and/or tractography analysis and/or visualization in 3D Slicer (http://www.slicer.org) via the SlicerDMRI project (https://github.com/SlicerDMRI), funded by NIH U01 CA199459."
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].