2 papers
eess.IV2025
Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
Philipp D. Lösel, Aleese Barron, Yulai Zhang +4
Non-destructive 3D imaging of large multi-particulate samples is essential for quantifying particle-level properties, such as size, shape, and spatial distribution, across applicat…
physics.optics2024
Deep Learning in Classical X-ray Ghost Imaging for Dose Reduction
Yiyue Huang, Philipp D. Loesel, David M. Paganin +1
Ghost imaging (GI) is an unconventional technique that combines information from two correlated patterned light fields to compute an image of the object of interest. GI can be perf…