| afni |
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|
|
afni |
toolkit for analyzing and visualizing functional MRI data |
|
|
afni-common |
miscellaneous scripts and data files for AFNI |
|
|
afni-dbg |
debug symbols for AFNI |
|
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afni-dev |
header and static libraries for AFNI plugin development |
| caret |
|
|
|
caret |
Computerized Anatomical Reconstruction and Editing Toolkit |
| connectome-workbench |
|
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|
connectome-workbench |
brain visualization, analysis and discovery tool |
|
|
connectome-workbench-dbg |
brain visualization, analysis and discovery tool -- debug symbols |
| connectomeviewer |
|
|
|
connectomeviewer |
Interactive Analysis and Visualization for MR Connectomics |
| debruijn |
|
|
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debruijn |
De Bruijn cycle generator |
| dicomnifti |
|
|
|
dicomnifti |
converts DICOM files into the NIfTI format |
| fsl |
|
|
|
fsl-5.0-core |
analysis tools for FMRI, MRI and DTI brain imaging |
|
|
fsl-core |
metapackage for the latest version of FSL |
| fslview |
|
|
|
fslview |
viewer for (f)MRI and DTI data |
|
|
fslview-doc |
Documentation for FSLView |
| itksnap |
|
|
|
itksnap |
semi-automatic segmentation of structures in 3D images |
| lipsia |
|
|
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lipsia |
analysis suite for MRI and fMRI data |
|
|
lipsia-doc |
documentation for LIPSIA |
| mriconvert |
|
|
|
mriconvert |
medical image file conversion utility |
| mricron |
|
|
|
mricron |
magnetic resonance image conversion, viewing and analysis |
|
|
mricron-data |
data files for MRIcron |
|
|
mricron-doc |
data files for MRIcron |
| nibabel |
|
|
|
python-nibabel |
Python bindings to various neuroimaging data formats |
|
|
python-nibabel-doc |
documentation for NiBabel |
|
|
python3-nibabel |
Python3 bindings to various neuroimaging data formats |
| nifticlib |
|
|
|
libnifti-dev |
IO libraries for the NIfTI-1 data format |
|
|
libnifti-doc |
NIfTI library API documentation |
|
|
libnifti2 |
IO libraries for the NIfTI-1 data format |
|
|
nifti-bin |
tools shipped with the NIfTI library |
| nipy |
|
|
|
python-nipy |
Analysis of structural and functional neuroimaging data |
|
|
python-nipy-doc |
documentation and examples for NiPy |
|
|
python-nipy-lib |
Analysis of structural and functional neuroimaging data |
|
|
python-nipy-lib-dbg |
Analysis of structural and functional neuroimaging data |
| nipype |
|
|
|
python-nipype |
Neuroimaging data analysis pipelines in Python |
|
|
python-nipype-doc |
Neuroimaging data analysis pipelines in Python -- documentation |
| nitime |
|
|
|
python-nitime |
timeseries analysis for neuroscience data (nitime) |
|
|
python-nitime-doc |
timeseries analysis for neuroscience data (nitime) -- documentation |
| openmeeg |
|
|
|
libopenmeeg-dev |
openmeeg library -- development files |
|
|
libopenmeeg1 |
library for solving EEG and MEG forward and inverse problems |
|
|
openmeeg-tools |
openmeeg library -- command line tools |
|
|
python-openmeeg |
openmeeg library -- Python bindings |
| pydicom |
|
|
|
python-dicom |
DICOM medical file reading and writing |
| pymvpa2 |
|
|
|
python-mvpa2 |
multivariate pattern analysis with Python v. 2 |
|
|
python-mvpa2-doc |
documentation and examples for PyMVPA v. 2 |
|
|
python-mvpa2-lib |
low-level implementations and bindings for PyMVPA v. 2 |
| pynifti |
|
|
|
python-nifti |
Python interface to the NIfTI I/O libraries |
| pyxnat |
|
|
|
python-pyxnat |
Interface to access neuroimaging data on XNAT servers |
| slicer |
|
|
|
libslicer3 |
software package for visualization and image analysis - runtime |
|
|
libslicer3-dev |
software package for visualization and image analysis - development |
|
|
slicer |
software package for visualization and image analysis - main application |
|
|
slicer-data |
software package for visualization and image analysis - share |
| spm8 |
|
|
|
matlab-spm8 |
analysis of brain imaging data sequences for Matlab |
|
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spm8-common |
analysis of brain imaging data sequences |
|
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spm8-data |
data files for SPM8 |
|
|
spm8-doc |
manual for SPM8 |
| statsmodels |
|
|
|
python-scikits.statsmodels |
transitional compatibility package for statsmodels migration |
|
|
python-statsmodels |
Python module for the estimation of statistical models |
|
|
python-statsmodels-doc |
documentation and examples for statsmodels |
|
|
python-statsmodels-lib |
low-level implementations and bindings for statsmodels |
| voxbo |
|
|
|
voxbo |
processing, statistical analysis, and display of brain imaging data |
