Pinned Repositories
ACN
ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
ALFNet
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
BraTS2018-tumor-segmentation
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
BraTS2018_NvNet
Implementation of NvNet
brats_segmentation-pytorch
3d unet + vae, repoduce brats2018 winner solution
DAGI
MRG-KG
Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
Wangyixinxin's Repositories
Wangyixinxin/ACN
Wangyixinxin/MRG-KG
Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
Wangyixinxin/DAGI
Wangyixinxin/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
Wangyixinxin/ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Wangyixinxin/ALFNet
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
Wangyixinxin/awesome-causality-algorithms
An index of algorithms for learning causality with data
Wangyixinxin/BraTS2018-tumor-segmentation
We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.
Wangyixinxin/BraTS2018_NvNet
Implementation of NvNet
Wangyixinxin/brats_segmentation-pytorch
3d unet + vae, repoduce brats2018 winner solution
Wangyixinxin/COVID19_imaging_AI_paper_list
COVID-19 imaging-based AI paper collection
Wangyixinxin/FSMS-Surrogate
Semi-supervised few-shot learning for medical image segmentation
Wangyixinxin/IntraDA
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)
Wangyixinxin/Medical-Cross-Modality-Domain-Adaptation
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
Wangyixinxin/MedicalZooPytorch
MedicalZooPytorch: A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Wangyixinxin/medio
Medical images I/O python package
Wangyixinxin/MICCAI-OpenSourcePapers
MICCAI 2020 Open Source Papers
Wangyixinxin/ModelsGenesis
Official Keras&PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Wangyixinxin/nnUNet
Wangyixinxin/PANet
Wangyixinxin/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
Wangyixinxin/pytorch-best-practice
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
Wangyixinxin/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Wangyixinxin/SAP-DETR
Official implementation of "SAP-DETR: Bridging the Gap between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency " [CVPR 2023]
Wangyixinxin/seg_medical_autodeeplab
Wangyixinxin/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Wangyixinxin/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Wangyixinxin/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Wangyixinxin/Wangyixinxin.github.io