MingxuanGu

Few-shot-UDA

The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"

Classification-of-solar-cell-defects

Different defects, e.g., cracks or inactive regions

AdaptSegNet

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

ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

ASM

( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation

CFDnet

domain adaptation with CF distance for medical image segmentation

DASS

An official PyTorch implementation of "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation", ECCV 2022.

DDFSeg

Disentangle domain features for cross-modality cardiac image segmentation

dynet

DyNet: The Dynamic Neural Network Toolkit

Game-Development-of-Mitosis-Detection

MPSCL

This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation", published at IEEE JBHI 2022

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Simulation-and-optimization-of-production-of-building-and-units-in-StarCraft-2

Soft-Labeled-Contrastive-Learning

Python implementation of our method Soft-Labeled Contrastive Learing with Reversed Monte Carlo Method published in MICCAI 2024.

t-loss

Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)

Voith_Hackathon

Hackathon held by Voith on 22-23.07.2019