Stars
Scikit-Longitudinal (Sklong) your tailored (health) Longitudinal machine learning library built on top of Scikit-Learn
A re-implementation of antsMultivariateTemplateConstruction2.sh using optimized image pyramid scale-space and qbatch support
sf-pediatric is an end-to-end connectomics pipeline for pediatric (0-18y) dMRI and sMRI brain scans.
Website of the BrainHack School
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
NMA Computational Neuroscience course
Example deep learning projects that use wandb's features.
Unsupervised Learning for Image Registration
Jupyter notebooks for learning how to use SimpleITK
Courseware for the ilumr educational MRI system
Lightweight Python implementation of Normative Modelling
TimeFlow is a continuous-time time series model that uses implicit neural representations and a latent code adaptation mechanism to impute and forecast irregular or incomplete time series.
[MICCAI, 2024] (Oral, RU @ MedIA Best Paper Award) Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusi…
Treatment-aware Diffusion Probabilistic Model for Longitudinal MRI Generation and Diffuse Glioma Growth Prediction
Code base of 'PAPER2WEB: LET’S MAKE YOUR PAPER ALIVE!' integrating the other work package throughout the entire "paper2present" process.
Example Jacobian computation from a simple test case using ANTs CreateJacobianDeterminantImage
A curated list of awesome Deep Learning tutorials, projects and communities.
tracking medical datasets, with a focus on medical imaging
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!