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

Baseline methods, training scripts, and pretrained models for LUMIR challenge at Learn2Reg 2024

Training code for the MICCAI 2023 paper "DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration"

Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI

This is the official repository for our recent work: PIDNet

Evaluation code of crossMoDA 2022

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

Source codes for CrossMoDA 2022 challenge

Python package to deal with Synapse datasets in a more convenient way.

Scripts for Automated Koos Classifcation of Vestibular Schwannoma

A thesis template compliant with King's College London and UCL rules

[unmaintained] Tom's thesis template - See https://github.com/cai4cai/XCLThesisTemplate for the maintained fork

3D Slicer modules for brain segmentation using deep learning.

MONAI Label is an intelligent open source image labeling and learning tool.

Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

Full-featured Node.js framework 🚀

Medical image processing in Python

Dijkstra's Shortest Path for 6, 18, and 26-Connected 3D (Volumetric) Image Volumes

Automatic Segmentation of Vestibular Schwannoma with MONAI (PyTorch)

MRI brain extraction tool

Algorithm to simulate resection surgery on brain MRI scans. Published in MICCAI 2020, extended in IJCARS.

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

This repository contains implementations and illustrative code to accompany DeepMind publications