Neurokernel Project

Neural networks toolbox focused on medical image analysis

A multi-purpose GPU-accelerated open-source suite for brain data visualization

Alzheimer's Disease Prediction by using ResNet, AlexNet

Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.

3D super-resolution using Generative Adversarial Networks

A Python interface to access neuroanatomical atlases

Automated 3D brain registration with support for multiple species and atlases.

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

Robust multimodal image registration via keypoints

A Parametric Framework to Generate Visual Illusions using Python

Brain Tumor Detection from MRI images of the brain.

A framework for real-time brain signal streaming with MNE-Python.

BrainPainter - Brain Visualisation Software

MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

Software interfaces for interacting with brain atlases - Python client

Genetic learning algorithm implementation for simulations, games, or general machine learning problems

Brain Segmentation on MRBrains18