NKI-AI / ece_loss
A PyTorch implementation of the Exclusive Cross Entropy Loss.
☆18Updated 2 years ago
Related projects: ⓘ
- Dense Steerable Filter CNN☆74Updated last year
- Stochastic Segmentation Networks☆64Updated 4 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 5 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆60Updated last month
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 3 years ago
- [MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.☆21Updated last year
- Accepted in MIDL 2020☆32Updated 3 years ago
- ☆24Updated 3 years ago
- [WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation☆12Updated 3 months ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 5 years ago
- ☆21Updated 3 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated last year
- ☆36Updated last year
- Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE☆14Updated last year
- ☆66Updated 5 years ago
- A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation☆24Updated 4 months ago
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆20Updated last year
- A manually annotated test set for DeepLesion with 3D lesion boxes☆23Updated 3 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆52Updated 11 months ago
- Code for our MIDL 2021 submission☆15Updated 3 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 2 years ago
- PyTorch implementation of HighRes3DNet☆49Updated 10 months ago
- ☆17Updated this week
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆98Updated 4 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 2 months ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆105Updated 4 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆84Updated 2 months ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16Updated 3 years ago
- Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is …☆17Updated 3 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated last month