melanibe / failure_detection_benchmark
Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et al.
☆20Updated 2 years ago
Alternatives and similar repositories for failure_detection_benchmark:
Users that are interested in failure_detection_benchmark are comparing it to the libraries listed below
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆36Updated last year
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆61Updated 6 months ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆15Updated 2 years ago
- MICCAI2020: self domain adapted network☆17Updated 3 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- A really simple tool to visualize different segmentation results☆17Updated 3 weeks ago
- ☆9Updated last week
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆60Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 4 months ago
- ☆16Updated last year
- A collection of self-supervised papers in medical imaging.☆39Updated 3 years ago
- [IEEE TMI'22] DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images☆16Updated last year
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆33Updated 2 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 3 years ago
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Updated 2 years ago
- ☆24Updated 3 years ago
- ☆26Updated last year
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆13Updated 11 months ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆36Updated 3 years ago
- Official PyTorch implementation of Scribble2Label (MICCAI 2020)☆34Updated 3 years ago
- Stochastic Segmentation Networks☆66Updated 4 years ago
- [TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.☆19Updated last year
- [ NeurIPS 2022 ] Official Codebase for "ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography"☆27Updated 2 years ago
- [ISBI 2023] Official Implementation for Label-Assemble☆19Updated 6 months ago
- ☆9Updated 2 years ago
- Code for continual machine learning using a dynamic memory (Perkonigg et al. Nat Comms 2021)☆14Updated last year
- JiahuaDong / ICCV2019Publication-Semantic-Transferable-Weakly-Supervised-Endoscopic-Lesions-Segmentation☆13Updated 5 years ago
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆28Updated 2 years ago