Heodel
Life is a horse, and either you ride it or it rides you.
Eastern Institute of Technology (EIT); Ningbo,China
Pinned Repositories
ADR-Cardic
afa
[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
apollo
An open autonomous driving platform
AttENT
Official Pytorch Implementation for AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Autolabor_Delta_1A_SLAM
基于ROS的 激光雷达 + 小车 + IMU 的 SLAM建图、定位、路径规划
dataset
医学影像数据集列表
doing_the_PhD
how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
rllte
Long-Term Evolution Project of Reinforcement Learning
Heodel's Repositories
Heodel/doing_the_PhD
Heodel/rllte
Long-Term Evolution Project of Reinforcement Learning
Heodel/ADR-Cardic
Heodel/afa
[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Heodel/AttENT
Official Pytorch Implementation for AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization
Heodel/BayeSeg
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
Heodel/CaCo
Code for <Category Contrast for Unsupervised Domain Adaptation in Visual Tasks> in CVPR 2022
Heodel/Causality-Medical-Image-Domain-Generalization
[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
Heodel/CEP
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
Heodel/chatgpt_academic
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持自定义函数插件,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力,新增PDF和Word文献批量总结功能/PDF论文全文翻译功能
Heodel/cisfa_da
Heodel/CT_MR_2D_Dataset_DA
Heodel/CV-SSL-MIS
Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation
Heodel/DAR-UNet
[JBHI2022] A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation
Heodel/Domain_adaptation_shape_prior
Heodel/ESFPNet
Official Implementation of "ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video"
Heodel/Few-shot-UDA
The official code for our BVM 2022 paper "Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation"
Heodel/FSUDA
AAAI2023 Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation
Heodel/GANLatentDiscovery
The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Heodel/MedISeg
Heodel/MONAI
AI Toolkit for Healthcare Imaging
Heodel/MyoPS-Net
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR images
Heodel/PointCloudUDA
[IEEE-TMI 2021] This is our PyTorch implementation for Adapt Everywhere paper on unsupervised domain adaptation using entropy and point-cloud paper.
Heodel/positional_cl
code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation
Heodel/Pytorch-Medical-Segmentation
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
Heodel/rllte-copilot
Large language model (LLM)-empowered copilot for RL.
Heodel/SAAL
[EMBC 2022] Official Implementation for "Self-supervised Assisted Active Learning for Skin Lesion Segmentation"
Heodel/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Heodel/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Heodel/VirtualCapsuleEndoscopy
VR-Caps: A Virtual Environment for Active Capsule Endoscopy