yulequan / UA-MTLinks
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
☆510Updated 4 years ago
Alternatives and similar repositories for UA-MT
Users that are interested in UA-MT are comparing it to the libraries listed below
Sorting:
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆312Updated 3 years ago
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.☆355Updated 2 years ago
- [MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation☆309Updated 9 months ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆391Updated 4 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆383Updated 2 years ago
- [ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeli…☆440Updated last year
- [TMI'20, AAAI'19] Synergistic Image and Feature Adaptation☆266Updated 4 years ago
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆175Updated 4 years ago
- This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103…☆413Updated last year
- ☆352Updated 5 months ago
- liver segmentation using deep learning☆424Updated 2 years ago
- 3DUNet implemented with pytorch☆529Updated 4 years ago
- 【TMI】This repo is for CENet, which is accepted in TMI.☆249Updated 2 years ago
- [JBHI] Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"☆465Updated 5 years ago
- ☆185Updated 5 years ago
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆769Updated 2 weeks ago
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆218Updated 6 years ago
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆557Updated 2 years ago
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆185Updated last year
- Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021☆839Updated 2 years ago
- [MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation☆208Updated 5 years ago
- ☆292Updated last year
- [IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)☆298Updated 5 years ago
- A PyTorch framework for medical image segmentation☆313Updated last year
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆452Updated 2 years ago
- MICCAI 2019-2023 Open Source Papers☆1,284Updated last year
- ☆532Updated 2 years ago
- Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and app…☆229Updated last year
- A collection of papers about Transformer in the field of medical image analysis.☆469Updated 2 years ago
- PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.☆495Updated 2 weeks ago