Shi Liang's starred repositories
registration
Image Registration
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
voxelmorph
Unsupervised Learning for Image Registration
plotSurfaceROIBoundary
Plot the boundaries of ROIs on a surface
Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
pytorch_geometric
Graph Neural Network Library for PyTorch
PRGNN_fMRI
Pytorch implementation of pooling-regularized GNN (PRGNN) for fMRI analysis. https://arxiv.org/pdf/2007.14589.pdf
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
SegLossOdyssey
A collection of loss functions for medical image segmentation
efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
dipy
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.