tongzheng1992 / E-FCNLinks
This is the available code for the paper `evidential fully convolutional network for semantic segmentation (arXiv preprint arXiv:2103.13544)
☆14Updated 3 years ago
Alternatives and similar repositories for E-FCN
Users that are interested in E-FCN are comparing it to the libraries listed below
Sorting:
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 3 years ago
- Code for paper "Evidence fusion with contextual discounting for multi-modality medical image segmentation"☆18Updated 3 years ago
- ☆10Updated 3 years ago
- ☆29Updated 2 years ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆76Updated last year
- This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.☆50Updated 9 months ago
- ☆14Updated 2 years ago
- On uncertainty estimation in active learning for image segmentation☆12Updated 5 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆31Updated last year
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated 2 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆19Updated 4 years ago
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆48Updated 5 years ago
- [IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)☆109Updated 3 years ago
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆20Updated 2 years ago
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆20Updated last year
- [IEEE Transactions on Medical Imaging 2024] Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Ide…☆25Updated 10 months ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- [ICCV 2023] Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Lear…☆23Updated 10 months ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Updated 2 years ago
- [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization☆18Updated last year
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆54Updated 2 years ago
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆29Updated 2 years ago
- 【IEEE TCYB 2025】Towards Reliable Medical Image Segmentation by Modelling Evidential Calibrated Uncertainty☆33Updated last year
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆29Updated 3 years ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆21Updated 3 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 3 years ago
- IEEE TMI 2021☆17Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆36Updated 2 years ago
- The code of Modality-adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities☆23Updated 3 years ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆19Updated 2 years ago