Juampablo Heras Rivera
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Accepted
Clinical Interpretability of Deep Learning Segmentation Through Shapley-Derived Agreement and Uncertainty Metrics
Jan 1, 2026
Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations
Jan 1, 2026
BTReport: A Framework for Brain Tumor Radiology Report Generation with Clinically Relevant Features
Jan 1, 2026
Bias Mitigation for Brain Age Prediction via Age Delta Correlation Loss
Jan 1, 2026
Isles' 24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data
Jan 1, 2024
Improving glioma segmentation in low-resolution domains with transfer learning
Jan 1, 2024
Uncertainty quantification for high explosive reactant and product equations of state
Jan 1, 2023
Development of models for the velocity-pressure gradient correlations in incompressible wall-bounded planar turbulent flows using multiple linear regression
Jan 1, 2023
Benefits and challenges of data-driven models for velocity/pressure-gradient correlations in turbulent flows.
Jan 1, 2023
On the Contribution of Data Errors in DNS Data-Driven VPG Correlation Models
Jan 1, 2022