Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

PyTorch implementation of FastSurferCNN

Medical Image Registration Demo

A python wrapper for FLIRT MRI registration

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

Containerized implementation of SynthSeg with additional preprocessing options

The project is used to do preprocessing on brain MR images by using Nipype.

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

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

A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

Deep Learning tools for brain medical images

Pre-trained models and utilities for deep learning on medical images in Python

Contrast-agnostic segmentation of MRI scans

🤗 image matching toolbox webui

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

Visual localization made easy with hloc

A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Robust multimodal image registration via keypoints

Neural networks toolbox focused on medical image analysis

Unsupervised Learning for Image Registration

tracking medical datasets, with a focus on medical imaging

OCMR (Open-Access Repository for Multi-Coil k-space Data for Cardiovascular Magnetic Resonance Imaging)

A clean and readable Pytorch implementation of CycleGAN

Image-to-Image Translation in PyTorch

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more