yzhang-zju

yzhang-zju's Stars

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.2k324

• MIC-DKFZ/nnUNet

  Language:Python5.6k1.7k

• csguoh/MambaIR

  [ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".

  Language:Python39534

• bowang-lab/U-Mamba

  U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

  Language:Python63352

• LeiaLi/SRDiff

  Language:Python17019

• jqmcginnis/multi_contrast_inr

  Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

  Language:Jupyter Notebook212

• HMS97/ConvNeXtV2-Unet

  Unet-implementation based on ConvNeXtV2

  Language:Python201

• yinboc/liif

  Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

  Language:Python1.3k145

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.3k531

• dunbar12138/pix2pix3D

  pix2pix3D: Generating 3D Objects from 2D User Inputs

  Language:Python1.6k130

• jongdory/ALDM

  Adaptive Latent Diffusion Model for 3D Medical Image

  Language:Python855

• icon-lab/ResViT

  Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

  Language:Python12626

• huawei-noah/noah-research

  Noah Research

  Language:Python855159

• ZhendongWang6/Uformer

  [CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

  Language:Python787116

• LiheYoung/ST-PlusPlus

  [CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

  Language:Python23133

• bubbliiiing/deeplabv3-plus-pytorch

  这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

  Language:Python868161

• XAIMI-Lab/McMRSR

  Language:Python419

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.5k2k

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.7k302

• FeTS-AI/Front-End

  Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

  Language:C++8115

• SR0920/TEC-Net

  Language:Python12

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.4k1.5k

• JackYFL/DISC

  The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"

  Language:Python415

• zzdxjtu/S-cuda

  Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation

  Language:Jupyter Notebook275

• trane293/mm-gan

  Language:Python151

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.4k10.1k

• NVlabs/denoising-diffusion-gan

  Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

  Language:Python67475

• LMMMEng/LLD-MMRI2023

  [MICCAI2023 Challenge] Liver Lesion Diagnosis Challenge on Multi-phase MRI

  Language:Python877

• ginobilinie/medSynthesisV1

  This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework

  Language:Python17945

• taozh2017/HiNet

  Code for TMI 2020 "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis"

  Language:Python8620