Duoduo-Qian's Stars
Duoduo-Qian/longitudinal_brain_atlas
junqiangchen/PytorchDeepLearing
Meidcal Image Segmentation Pytorch Version
InsightSoftwareConsortium/ITKElastix
An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images
DeepRegNet/DeepReg
Medical image registration using deep learning
xzluo97/Diffeomorphic-demons
TensorFlow implementation of the diffeomorphic demons algorithm for medical image registration
lihaoliu-cambridge/unsupervised-medical-image-segmentation
Code for "Contrastive Registration for Unsupervised Medical Image Segmentation".
Ryo-Ito/image_registration
Python implementation of 2d and 3d image registration
ANTsX/ANTsPyNet
Pre-trained models and utilities for deep learning on medical images in Python
drewwilimitis/Manifold-Learning
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Auto-segmentation-in-Radiation-Oncology/Chapter-3
Code to support the experiments in chapter 3; Evaluation of atlas selection methods for atlas-based segmentation
Sikerdebaard/dcmrtstruct2nii
DICOM RT-Struct to mask
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
ANTsX/ANTs
Advanced Normalization Tools (ANTs)
jw4hv/deepflash
Supervised Predictive Medical Image Registration Model
lucasmansilla/ACRN_Chest_X-ray_IA
Learning Deformable Registration of Medical Images with Anatomical Constraints
ANTsX/ANTsPy
A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.
fepegar/torchio
Medical imaging toolkit for deep learning
Duoduo-Qian/Medical-image-registration-Resources
Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes
ToFec/OneShotImageRegistration
One Shot Deformable Medical Image Registration
Awesome-Image-Registration-Organization/awesome-image-registration
image registration related books, papers, videos, and toolboxes
learn2reg/tutorials2019