mlaves / well-calibrated-regression-uncertainty
Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
☆31Updated 3 years ago
Alternatives and similar repositories for well-calibrated-regression-uncertainty:
Users that are interested in well-calibrated-regression-uncertainty are comparing it to the libraries listed below
- Stochastic Segmentation Networks☆66Updated 4 years ago
- The official implementation of the MC-Dropconnect method for Uncertainty Estimation in DNNs☆17Updated 4 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learning☆56Updated last year
- Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…☆20Updated 2 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆61Updated 7 months ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020☆26Updated 2 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- Semi-supervised variational autoencoder for survival prediction☆14Updated last year
- ☆36Updated 2 years ago
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆20Updated 3 years ago
- ☆10Updated 2 years ago
- Repository associated to the UQinMIA Tutorial @ MICCAI 2023☆27Updated 5 months ago
- ☆24Updated 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
- Adaptive-binning for evaluation of confidence calibration☆12Updated 5 years ago
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation☆36Updated last year
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year
- ☆29Updated 3 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆24Updated 2 years ago
- A collection of self-supervised papers in medical imaging.☆39Updated 4 years ago
- ☆34Updated 4 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- Explainability of Deep Learning Models☆29Updated last year
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆71Updated last year
- ☆46Updated 4 years ago
- Learning image representations for anomaly detection: application to discovery of histological alterations in drug development☆17Updated last year
- ☆10Updated 2 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago