3 papers
cs.LG2026
Contrast-invariant deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +6
Ptychography neural networks suffer from scaling inconsistencies when generalizing out of distribution, limiting their real world viability. We address this scaling mismatch using…
physics.optics2026
A unified self-supervised framework for single-frame Fresnel CDI and overlapped ptychography
Oliver Hoidn, Albert Vong, Aashwin Mishra +3
Ptychographic imaging at synchrotron and X-ray free-electron laser sources requires densely overlapping scans, which limits throughput and increases dose; extending coherent diffra…
cs.LG2025
Towards generalizable deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +8
X-ray ptychography is a data-intensive imaging technique expected to become ubiquitous at next-generation light sources delivering many-fold increases in coherent flux. The need fo…