Software

All of MIPLab and collaborators’ codes and developed softwares. We also maintain a GitHub repository associated to the lab.

In-House Software

iCAPs Toolbox

FMRI deconvolution using state-of-the-art sparsity-driven regularization

TbCaps

ToolBox for Co-Activation Patterns

PLS implementation

Matlab algorithm for Partial Least Squares (PLS)

Graph Slepians

The design of bandlimited graph signals that maximize energy in a subgraph as the graph equivalent of Slepians is used to generalize Laplacian embedding and graph clustering.

Dynamic functional connectivity

Matlab code for determining eigenconnectivities from dynamic functional connectivity measures

OpenNFT

An open-source Python/Matlab framework for real-time fMRI neurofeedback training

Ceci n’est pas un cerveau

3D-printable Shepp-Logan phantom with analytical expressions in k-space

Statistical Parametric Connectome (SPC)

Two-step procedure improves sensitivity of statistical testing connectomes

Functional connectivity pipeline

Matlab pipeline for wavelet-based functional connectivity analysis

Surrogate Graph Signals

Generate surrogate data for signals defined a graph backbone

Wavelet-Based Statistical Parametric Mapping (WSPM)

Toolbox for SPM to perform statistical testing using the wavelet transform and without Gaussian smoothing

Non-local means (NLM)

Extensions for NLM such as Stein’s unbiased risk estimate (SURE) and optimal linear expansions of multiple NLMs

Graph signal decompositions

Spectral decompositions designed for graphs

Riesz steerable pyramid

Steerable wavelet transform for advanced image analysis such as rotation-covariant texture learning