ShuaiHuang

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

ChatLaw

ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

BicycleGAN

Toward Multimodal Image-to-Image Translation

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

ITK

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

ResUnet

Pytorch implementation of ResUnet and ResUnet ++

astra-toolbox

ASTRA Tomography Toolbox

MultiResUNet

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

noise2noise-pytorch

PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

Neighbor2Neighbor

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

BrainPrep

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

bm3d-gpu

CUDA implementation of BM3D

bm3d

gpu-bm3d

GPU-accelerated denoising with bm3d

fastmri-plus

Data labels and scripts for fastMRI.org

CVF-SID_PyTorch

Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)

pGAN-cGAN

Official implementations of the pixel-wise and cycle-consistency GAN models for multi-contrast MRI synthesis

Recorrupted-to-Recorrupted-Unsupervised-Deep-Learning-for-Image-Denoising

OTUR

Optimal Transport for Unsupervised Denoising Learning - Official Pytorch implementation of the TPAMI 2022 paper

pySART

Tomographic reconstruction using the Simultaneous Algebraic Reconstruction Technique (SART) implemented in python.

sc-cyclegan

The implementation of the paper "Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN" in MICCAI - DLMIA 2018

shading-correction

Remove shading (or the un-even intensity background) of images

SART-SAGAN

Iterative SART algorithm with Self Attention GAN based signal prior for reconstruction of low-dose, sparse-view and limited-angle CT

TumorMassEffect

Pytorch implementation of the displacement model from "Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks".

Synthetic-Brain-Tumor_Data-Generation

Generation of Training Data for Brain Tumor Segmentation via MeVisLab

medical-image-processing