wangyixinxin Goto Github PK

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

braincog

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

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

dagi

fsms-surrogate

Semi-supervised few-shot learning for medical image segmentation

intrada

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

medicalzoopytorch

MedicalZooPytorch: A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

medio

Medical images I/O python package

miccai-opensourcepapers

MICCAI 2020 Open Source Papers

modelsgenesis

Official Keras&PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

mrg-kg

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph

nnunet

panet

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-best-practice

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

sap-detr

Official implementation of "SAP-DETR: Bridging the Gap between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency " [CVPR 2023]

seg_medical_autodeeplab

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

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.github.io