Stefan Klein

Biomedical Imaging Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification

Data-driven mapping of known and novel fluid biomarker progression profiles in genetic frontotemporal lobar degeneration

The model’s accurate estimation of disease stages underscores the value of DEBM for patient stratification, offer a promising tool to support clinical trial design and provide a temporal ordering of multiple CSF proteins.

Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification

Uncertainty Quantification (UQ) is a key requirement for trustworthy AI in high-stakes medical image analysis. In this work, we evaluate UQ within a multi-task Deep Learning (DL) framework for MRI-based glioma diagnosis that performs tumor segmentation and predicts Isocitrate Dehydrogenase (IDH) mutation status, 1p/19q...

Feasibility of Spin‐ and Gradient‐Echo Dynamic Susceptibility Contrast MRI for Microvascular Characterization at 7 Tesla

Perfusion MRI, especially dynamic susceptibility contrast (DSC), is vital for glioma diagnosis and monitoring. While gradient‐echo DSC is the current recommended implementation, combined spin‐ and gradient‐echo (SAGE) DSC additionally allows for vessel size imaging (VSI) and has shown feasibility for microvascular char...