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Name: Biozid Bostami
Type: User
Name: Biozid Bostami
Type: User
Code and data associated with the manuscript "A resource for development and comparison of multi-modal brain 3T MRI harmonisation approaches".
Analyse Causale et Méthodes Quantitatives
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.
Open-Source Python Software for Functional MRI Analysis
Brain graph super-resolution using graph neural networks.
Within this work, several experiments in Oldham et al. paper that is conducted in MATLAB, is coded up using Jupyter Notebook.
A Generative Model and Decomposition for Functional Connectivity
The final term project. We explored tranmission collision using graph coloring.
Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain graph learning with GNNs to join the project.
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
A curated list of resources for medical data harmonization algorithms
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Introduction to simple machine learning, deep learning and geometric deep learning concepts and methods.
The Brain Connectivity Toolbox: https://sites.google.com/site/bctnet/
A Blog System with Spring MVC, Thymeleaf, JPA and MySQL
brain data analysis and graph information bottleneck
Simulating cost of trauma in brain networks
list of brain networks ready to be downloaded for your brainhacking pleasure
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Graph theory analysis of brain MRI data
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning''
Simulate metastable brain waves, plus analysis tools to quantify the dynamics.
Bregman-Correntropy divergence on Conditional Distributions
Cauchy-Schwarz divergence Information Bottleneck
Code repository of the R package Clusterwise Independent Component Analysis
Clusterwise Independent Vector Analysis
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.