GoPiGo Connectome Code

Generate random surrogate weighted networks that preserve the effect of distance on the weights.

An essay on comparing 2 ML applications on connectomes

Multi-task learning of functional connectivity on the ABIDE dataset.

Please use the new version of LiFE: www.github.com/brain-life/encode

CONnectivity ANalysis tools in Matlab

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

Python 3 implementations of various Functional Connectivity measures

Modified GoPiGo bot connectome source to work on my custom robot.

Python tool for spatially normalizing diffusion MRI data

Docker container for FiberNavigator for Brainlife.io

Semantic segmentation architectures for connectomics.

EM Image Reconstruction Tools using Python

LiFE-GPU-opt software is an optimized implementation of the compute-intensive matrix operations of the LiFE algorithm for GPUs.

Cartographical collection of cortical atlases (neuroscience)

Rapid analysis of scientific papers from bioRxiv and PubMed

EM segmentation of mitochondria from SNEMI3D data

ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).

Fast and memory efficient approach for connectome-wide association studies in R and C++. Uses custom implementation of multivariate distance matrix regression to associate brain and behavior.

Code for implementing the Aggregation-Network diffusion model (AND), as described in the paper: "Combined Model of Aggregation And Network Diffusion Recapitulates Alzheimer’s Regional Tau-PET " by Ashish Raj*, Veronica Tora, Xiao Gao, Hanna Cho, Jae Yong Choi, Young Hoon Ryu, Chul Hyoung Lyoo, Bruno Franchi. *Department of Radiology and Biomedic…