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brain_colours

colour map for brain imaging

bspm

Utility MATLAB functions and wrappers for fMRI data analysis, mostly based in SPM12

canlabcore

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

cbig

ccs-1

Connectome Computation System for Multimodal Human Brain Imaging Data Analysis

coleanticevicnetpartition

Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

color_connectivity_script

connect_metrics

MATLAB code for brain connectivity graph theory built on top of Brain Connectivity Toolbox

coronavirus-epidemic-2019-ncov

👩🏻‍⚕️2019-nCoV estimation and forecast using statistical model; 新型冠状病毒武汉肺炎统计模型预测

cosmomvpa

A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-historical-data-visualization-2019-ncov-

使用BlankerL提供的数据仓库实现的新型冠状病毒疫情数据可视化

cpm_tutorial

Python-based tutorial on Connectome-based Predictive Modeling (CPM), originally prepared for Georgetown Methods Lab.

data_mining_models

Basic data mining model, including feature importance display

deepcommunitydetection

PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks

deeplabcut

Markerless tracking of user-defined features with deep learning

deepmre

Repository for notebooks and scripts pertaining to using deep learning in Magnetic Resonance Elastography

docker_enigma_shape

download

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw

dpabi

DPABI: a toolbox for Data Processing & Analysis of Brain Imaging

dxy-2019-ncov-crawler

2019新型冠状病毒疫情实时爬虫

dxy-2019-ncov-data

2019新型冠状病毒疫情时间序列数据仓库

easylearn_dev

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.

edge-centric_demo

demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)

elmed219-2021

Material for the 2021 version of the course ELMED219, UiB and HVL

elmed219-brainage

Kaggel in-v

end2end-all-conv

End-to-end training for breast cancer diagnosis using deep all convolutional networks

enigma

ENIGMA TOOLBOX is an open-access repository for data sharing, neuroimaging analysis, and visualization of ENIGMA datasets

enigma_shape-docker

A Dockerfile and Boutiques descriptor for the ENIGMA shape protocol

export_fig

A MATLAB toolbox for exporting publication quality figures