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ai4healthlab-liu's Projects

birads_classifier icon birads_classifier

High-resolution breast cancer screening with multi-view deep convolutional neural networks

connectir icon connectir

Advanced functional connectivity functions and scripts including ones for connectome-wide association studies.

dartmouthmind_tutorial icon dartmouthmind_tutorial

Tutorial on resting-state fMRI functional connectivity for the 2017 Dartmouth MIND summer school.

dyconpro icon dyconpro

MATLAB toolbox (not just) for dynamic functional connectivity processing. An ongoing WIP.

dyfunconn icon dyfunconn

A dynamic functional connectivity module in python.

effbct icon effbct

efficient Brain Connectivity Toolbox

fastfc icon fastfc

Fast Functional Connectivity Toolbox

fes icon fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

fmriprep icon 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.

machine_learning_refined icon machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

morphoconnect icon morphoconnect

MATLAB Toolbox for studying the Brain Networks of anatomical/functional covariance.

mulan icon mulan

A systematic framework for functional connectivity measures

optimization icon optimization

A teaching demonstration of the numerical analysis course.

ptmst icon ptmst

Probability Theory and Mathematical Statistics Tutorial

pynets icon pynets

A Fully-Automated Workflow for Reproducible Ensemble Graph Analysis of Functional and Structural Connectomes

spectral_connectivity icon spectral_connectivity

Frequency domain functional and directed connectivity analysis tools for electrophysiological data

statlearn-s23 icon statlearn-s23

Course materials for Advanced Topics in Statistical Learning, Spring 2023

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