yzhang-zju's Stars
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
MIC-DKFZ/nnUNet
csguoh/MambaIR
[ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".
bowang-lab/U-Mamba
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
LeiaLi/SRDiff
jqmcginnis/multi_contrast_inr
Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
HMS97/ConvNeXtV2-Unet
Unet-implementation based on ConvNeXtV2
yinboc/liif
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
JingyunLiang/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
dunbar12138/pix2pix3D
pix2pix3D: Generating 3D Objects from 2D User Inputs
jongdory/ALDM
Adaptive Latent Diffusion Model for 3D Medical Image
icon-lab/ResViT
Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis
huawei-noah/noah-research
Noah Research
ZhendongWang6/Uformer
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
LiheYoung/ST-PlusPlus
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
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。
XAIMI-Lab/McMRSR
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
HuCaoFighting/Swin-Unet
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
FeTS-AI/Front-End
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
SR0920/TEC-Net
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
JackYFL/DISC
The official implementation of CVPR2023 paper "DISC: Learning from Noisy Labels via Dynamic Instance-Specific Selection and Correction"
zzdxjtu/S-cuda
Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation
trane293/mm-gan
CompVis/stable-diffusion
A latent text-to-image diffusion model
NVlabs/denoising-diffusion-gan
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
LMMMEng/LLD-MMRI2023
[MICCAI2023 Challenge] Liver Lesion Diagnosis Challenge on Multi-phase MRI
ginobilinie/medSynthesisV1
This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework
taozh2017/HiNet
Code for TMI 2020 "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis"