2 citations · 2 across the 3 of their papers we have counts for
3 papers
Fast Eikonal Phase Retrieval for High-Throughput Beamlines
Alessandro Mirone, Theresa Urban, Joseph Brunet +3
We introduce a fast Eikonal Phase Retrieval (EPR) formulation that accelerates eikonal phase retrieval by more than two orders of magnitude while retaining controlled accuracy. The…
Multispectral CT Denoising via Simulation-Trained Deep Learning: Experimental Results at the ESRF BM18
Peter Gänz, Steffen Kieß, Guangpu Yang +8
Multispectral computed tomography (CT) enables advanced material characterization by acquiring energy-resolved projection data. However, since the incoming X-ray flux is be distrib…
Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Ekin Yagis, Shahab Aslani, Yashvardhan Jain +10
Automated blood vessel segmentation is vital for biomedical imaging, as vessel changes indicate many pathologies. Still, precise segmentation is difficult due to the complexity of…