20 projects
visualqc
Assistive tool for the quality control of neuroimaging data
graynet
Individualized single-subject networks from T1 mri features such as cortical thickness and gray matter density.
hiwenet
Histogram-weighted Networks for Feature Extraction and Advance Analysis in Neuroscience
confounds
Conquering confounds and covariates in machine learning
qualitylib
methods and methods for assessment of quality
neuropredict
easy and standardized predictive analysis for biomarkers, neuroimaging, and beyond
pyradigm
Python-based data structure to improve handling of datasets in machine learning workflows
mrivis
Tools and scripts for visualization and comparison of 3d MRI scans (T1, T2 etc)
kernelmethods
kernel methods and classes
missingdata
missing data visualization and imputation
niatlas
atlas classes and methods for neuroimaging
komplete
kernel-based completion/imputation method
autoMKL
auto kernel selection and fusion
easyregress
framework for regression modelling under cross-validation
protocol
generic framework to develop protocols
easypredict
generic predictive framework to evaluate predictive power of arbitrary feature to target mapping
neurovis
visualization modules for neuroimaging data
neuroqc
quality control for neuroscience data, including imaging
conwhat
python library for connectome-based white matter atlas analyses in neuroimaging
neurofeatures
Generic feature extraction package for neuroimaging features (examples include: connectivity from rs-fmri, regional mean fractional anisotropy, structural covariance etc)