Uncertainty Modelling
MOrphologically-aware Jaccard-based ITerative Optimization (MOJITO) for Consensus Segmentation
Quantification of Predictive Uncertainty via Inference-Time Sampling
Uncertainty categories in medical image segmentation: a study of source-related diversity.
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation
What Do Untargeted Adversarial Examples Reveal In Medical Image Segmentation?.
Uncertainty calibration
Improved post-hoc probability calibration for out-of-domain MRI segmentation.
Improving error detection in deep learning-based radiotherapy autocontouring using Bayesian uncertainty
A Plug-and-Play Method to Compute Uncertainty
Calibration of Deep Medical Image Classifiers: An Empirical Comparison using Dermatology and Histopathology Datasets
Annotation uncertainty and out of distribution management
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
Generalized Probabilistic U-Net for medical image segmentation
Joint paraspinal muscle segmentation and inter-rater labeling variability prediction with multi-task TransUNet
Information Gain Sampling for Active Learning in Medical Image Classification.