Modern C++ Programming Course (C++03/11/14/17/20/23/26)

An open addressing linear probing hash table, tuned for delete heavy workloads

Abseil Common Libraries (C++)

Argument Parser for Modern C++

CMake中文实战教程

Record CS knowlegement with XMind, version 2.0. 使用 XMind 记录 Linux 操作系统，网络，C++，Golang 以及数据库的一些设计

Fourier Domain Adaptation for Semantic Segmentation

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Code to accompany ICML 2018 paper

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

Image-to-Image Translation in PyTorch

[JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation

Official Pytorch Implementation for AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization

A clean and readable Pytorch implementation of CycleGAN

[TMI'20, AAAI'19] Synergistic Image and Feature Adaptation

Code for Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.

AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation

[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

Domain Adaptation and Generalization for Medical Image Analysis

[IEEE TMI 2022] Official Implementation for "LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation"

Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation

[MICCAI'21] Source-Free domain adaptive fundus image segmentation with denoised pseudo-labeling

Archive for Self-supervised learning in Medical images (A4SM).

[ICANN 2022 Oral] This repository includes the official project of TFCNs, presented in our paper: TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation

This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

This is a list of awesome methods about data augmentation.

Code for tutorial at MICCAI 2022

implement papar "Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks"