16 citations · 35 across the 8 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
eess.IV2021
Posterior Temperature Optimization in Variational Inference for Inverse Problems
Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer +1
Bayesian methods feature useful properties for solving inverse problems, such as tomographic reconstruction. The prior distribution introduces regularization, which helps solving t…
eess.IV2021★ 6 cited
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast +2
The consideration of predictive uncertainty in medical imaging with deep learning is of utmost importance. We apply estimation of both aleatoric and epistemic uncertainty by variat…