YeFengyu819

YeFengyu819's Stars

• Project-MONAI/GenerativeModels

  MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

  Language:Jupyter Notebook62787

• davidiommi/3D-CycleGan-Pytorch-MedImaging

  Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

  Language:Python14129

• Kid-Liet/Reg-GAN

  Language:Python16321

• HiLab-git/FPL-plus

  FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation

  Language:Python211

• CityU-AIM-Group/SFDA-FSM

  [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining

  Language:Python428

• Amshaker/unetr_plus_plus

  [IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

  Language:Python37438

• Project-MONAI/research-contributions

  Implementations of recent research prototypes/demonstrations using MONAI.

  Language:Python1k336

• linhandev/dataset

  医学影像数据集列表 『An Index for Medical Imaging Datasets』

  2.7k370

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.2k154

• wentaozhu/deep-mil-for-whole-mammogram-classification

  Zhu, Wentao, Qi Lou, Yeeleng Scott Vang, and Xiaohui Xie. "Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification." MICCAI 2017.

  Language:Python11537

• ShreyasiPathak/multiinstance-learning-mammography

  Language:Python4

• xindubawukong/Vahadane

  Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

  Language:Jupyter Notebook7922

• huoxiangzuo/HiFuse

  HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification

  Language:Python21218

• JiauZhang/CoralStyleCLIP

  Implementation of CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing

  Language:Python17

• utayao/Atten_Deep_MIL

  Attention-based Deep MIL implementation and application

  Language:Python16032

• Kaiseem/SLAug

  [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"

  Language:Jupyter Notebook686

• facebookresearch/DomainBed

  DomainBed is a suite to test domain generalization algorithms

  Language:Python1.4k298

• mousecpn/L2A-OT

  This repository is an unofficial implementation in PyTorch for Learning to Generate Novel Domains for Domain Generalization

  Language:Python224

• benbergner/emil

  Language:Python4

• ppengtang/oicr

  Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

  Language:Python22047

• ppengtang/pcl.pytorch

  PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

  Language:Python25248

• xsshi2015/Loss-Attention

  Language:Python2910

• HKU-MedAI/WSI-HGNN

  [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

  Language:Python757

• google-research/medical-ai-research-foundations

  Language:Python19221

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python74595

• wqlevi/DISGAN

  An official realse of the ICCV2023 workshop paper "DISGAN"

  Language:Python41

• icon-lab/AdaDiff

  Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876).

  Language:Python5410

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python28.6k3.6k

• Netherlands-Cancer-Institute/Multimodal_attention_DeepLearning

  Multi-modal deep learning with attention mechanism

  Language:Python92

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.2k6.3k