Paper-Conference

Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics

Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations

Bias Mitigation for Brain Age Prediction via Age Delta Correlation Loss

Improving glioma segmentation in low-resolution domains with transfer learning

Benefits and challenges of data-driven models for velocity/pressure-gradient correlations in turbulent flows.

On the Contribution of Data Errors in DNS Data-Driven VPG Correlation Models