Conference
Open access
Sep 2026
Uncertainty-Aware Deep Learning Reconstruction for 3D Scintillation Dosimetry
A Bayesian neural network framework for uncertainty estimation in the reconstruction of 3D dose distribution is proposed and found that no statistically significant difference is present between the Bayesian model and its deterministic counterpart, yielding promising results for safer quality assurance.
Alexis Horik, R. Brodeur, Nicolas Drouin et al.
· Journal of Physics, Conferen... · 0 citations