brainwanderlab Goto Github PK

brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

coinstac

Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

enigma

The ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠

grok-1

Grok open release

juspace

This is the repository for the JuSpace toolbox allowing for cross-modal correlations between imaging data and positron emission tomography derived information

kul_fwt

Automated tractography using MRTrix3 CSD based on subject-specific parcellations from FreeSurfer and MultiScaleBrainParcellator

mici

Codes for Morphometric Integrated Classification Index (MICI)

mostest_generalization

Code for analysis in "Generalization of Cortical MOSTest Genome-Wide Associations Within and Across Samples" BioRxiv 2021, Loughnan et. al. (https://doi.org/10.1101/2021.04.23.441215).

mrabeta

mrtools

mrTools - matlab based tools for fMRI

multiatlastt

multi atlas transfer tools for neuroimaging (maTT)

neuromaps

A toolbox for comparing brain maps

null_models_net_neurosci

Null models in network neuroscience

pulseq

Open source framework for pulse sequences

pypulseq

Pulseq in Python

qwen1.5

Qwen1.5 is the improved version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.

schizophrenia_subtyping_gmv_panss

Subtyping schizophrenia patients based on GMV and PANSS data

spatially-embedded-rnn

Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.

stereograms

Code for playing with random dot stereograms.

stu-net

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

tsn-vglcm

Texture similarity network (TSN) is the individual-level construction approach of the SCN based on the sMRI-derived voxel-wise 3D gray‐level co‐occurrence matrix (VGLCM) texture feature maps, which can provide detailed spatial information and dramatically diminishes the influence of insufficient areas definition on texture feature calculation.

ukb-pret

vtsn_subnets

Brain structural sub-networks parcellated based on the vTSN-coexpression correlation profiles

xai

XAI - An eXplainability toolbox for machine learning