755 citations · 1.6k across the 34 of their papers we have counts for
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Self-Supervised Denoiser Framework
Emilien Valat, Andreas Hauptmann, Ozan Öktem
Reconstructing images using Computed Tomography (CT) in an industrial context leads to specific challenges that differ from those encountered in other areas, such as clinical CT. I…
Geometric shape matching for recovering protein conformations from single-particle Cryo-EM data
Erik Jansson, Jonathan Krook, Klas Modin +1
We address recovery of the three-dimensional backbone structure of single polypeptide proteins from single-particle cryo-electron microscopy (Cryo-SPA) data. Cryo-SPA produces nois…
Sparse View Tomographic Reconstruction of Elongated Objects using Learned Primal-Dual Networks
Buda Bajić, Johannes A. J. Huber, Benedikt Neyses +2
In the wood industry, logs are commonly quality screened by discrete X-ray scans on a moving conveyor belt from a few source positions. Typically, the measurements are obtained in…
Fast deep learning based reconstruction for limited angle tomography
Knut Salomonsson, Eric Oldgren, Emanuel Ström +1
A major challenge in computed tomography is reconstructing objects from incomplete data. An increasingly popular solution for these problems is to incorporate deep learning models…