2 papers
physics.med-ph2026
Use of synthetic data for training dose estimation neural networks in CT dosimetry
Marie-Luise Kuhlmann, Jörg Martin, Stefan Pojtinger
Personalized computed tomography (CT) dosimetry has great potential in assessing patient-specific radiation exposure, supporting risk assessment, and optimizing clinical protocols.…
cs.LG2025
Low Rank Based Subspace Inference for the Laplace Approximation of Bayesian Neural Networks
Josua Faller, Jörg Martin
Subspace inference for neural networks assumes that a subspace of their parameter space suffices to produce a reliable uncertainty quantification. In this work, we underpin the val…