Stars
Flexible DICOM conversion into structured directory layouts
Neurodesk's Education and Learning hub
examples for using Neurodesk within Notebooks
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medi…
Exploring tongue segmentation in MND patients. Segmentation, data wrangling, analysis.
Website for the ESMRMB MRI Together workshop
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
How to stop worrying and learn to love computational neuroimaging of the visual cortex: a satellite workshop at the Vision Sciences Society meeting of 2024.
NiiVue extension for vscode + standalone web app
QSMxT is an end-to-end software toolbox for Quantitative Susceptibility Mapping.
Python-based software utilizing deep learning techniques to segment high-resolution time-of-flight MRI angiography data with high sensitivity towards small vessels
Collection of awesome test-time (domain/batch/instance) adaptation methods
Code for predicting retinotopy from anatomy using geometric deep learning. See paper for more --> https://www.sciencedirect.com/science/article/pii/S1053811921008971
The containers can be used in combination with our transparent singularity or neurocommand tool, that wrap the executables inside a container to make them easily available for pipelines
A flexible, scalable, and easy to use data analysis environment for reproducible neuroimaging
The plug-and-play, browser-accessible, containerised data analysis environment.
The fastai book, published as Jupyter Notebooks
Papers from the intersection of deep learning and neuroscience
Data and code to analyse the luminance and contrast of images in the THINGS database
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Graph CNNs for population graphs
A neuroscience library for Python, intended to complement the existing nibabel library.