5 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Self-supervised denoising of raw tomography detector data for improved image reconstruction
Israt Jahan Tulin, Sebastian Starke, Dominic Windisch +2
Ultrafast electron beam X-ray computed tomography produces noisy data due to short measurement times, causing reconstruction artifacts and limiting overall image quality. To counte…
Data-efficient U-Net for Segmentation of Carbide Microstructures in SEM Images of Steel Alloys
Alinda Ezgi Gerçek, Till Korten, Paul Chekhonin +2
Understanding reactor-pressure-vessel steel microstructure is crucial for predicting mechanical properties, as carbide precipitates both strengthen the alloy and can initiate crack…
Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power
Till Korten, Vladimir Rybnikov, Mathias Vogt +3
Electron beam accelerators are essential in many scientific and technological fields. Their operation relies heavily on the stability and precision of the electron beam. Traditiona…
sbi reloaded: a toolkit for simulation-based inference workflows
Jan Boelts, Michael Deistler, Manuel Gloeckler +30
Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a…
Machine Learning State-of-the-Art with Uncertainties
Peter Steinbach, Felicita Gernhardt, Mahnoor Tanveer +2
With the availability of data, hardware, software ecosystem and relevant skill sets, the machine learning community is undergoing a rapid development with new architectures and app…