Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

.- Annotation Uncertainty.

.- Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection.

.- Active Learning for Scribble-based Diffusion MRI Segmentation.

.- FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection.

.- Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation.

.- Clinical implementation of uncertainty modelling and risk management in clinical pipelines.

.- Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction.

.- GUARDIAN: Guarding Against Uncertainty and Adversarial Risks in Robot-Assisted Surgeries.

.- Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components.

.- Conformal Performance Range Prediction for Segmentation Output Quality Control.

.- Holistic Consistency for Subject-level Segmentation Quality Assessment in Medical Image Segmentation.

.- Out of distribution and domain shift identification and management.

.- CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning.

.- Image-conditioned Diffusion Models for Medical Anomaly Detection.

.- Information Bottleneck-based Feature Weighting for Enhanced Medical Image Out-of-Distribution Detection.

.- Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images.

.- Typicality excels Likelihood for Unsupervised Out-of-Distribution Detection in Medical Imaging.

.- Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection.

.- Uncertainty-Aware Vision Transformers for Medical Image Analysis.

.- Uncertainty modelling and estimation.

.- Efficient Precision control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting.

.- GLANCE: Combating Label Noise using Global and Local Noise Correction for Multi-Label Chest X-ray Classification.

.- Conformal Prediction and Monte Carlo Inference for Addressing Uncertainty in Cervical Cancer Screening.

.- INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning.