Reference PyTorch implementation and models for DINOv3

PyTorch code and models for the DINOv2 self-supervised learning method.

Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

AssemblyNet: 3D Whole Brain MRI segmentation pipeline

A beautiful, simple, clean, and responsive Jekyll theme for academics

a WebGL2 based medical image viewer. Supports over 30 formats of volumes and meshes.

Medical imaging processing for AI applications.

This repository is to prepare for Machine Learning interviews.

A list of schools and researchers in computational neuroscience

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Clarity: A Minimalist Website Template for AI Research

Vision Transformer for 3D medical image registration (Pytorch)

Latex code for making neural networks diagrams