56 citations · 56 across the 1 of their papers we have counts for
2 papers
physics.comp-ph2022
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography
Marcel Schloz, Johannes Müller, Thomas C. Pekin +2
We present a method that lowers the dose required for a ptychographic reconstruction by adaptively scanning the specimen, thereby providing the required spatial information redunda…
physics.comp-ph2018★ 56 cited
Multi-scale Convolutional Neural Networks for Inverse Problems
Feng Wang, Alberto Eljarrat, Johannes Müller +3
Inverse problems exist in many domains such as phase imaging, image processing, and computer vision. These problems are often solved with application-specific algorithms, even thou…