755 citations · 1.6k across the 34 of their papers we have counts for
5 papers · 1 filter
Motion-Enabled Tomography of Gaussian-Mixture Particles under Unknown Rigid-Body Motion with Parabolic Trajectories
Daniel Burrows, Can Evren Yarman, Ozan Öktem
Reconstructing objects with unknown position and/or orientation arises in applications spanning geology to cryo-ET. When the relative motion between the object and the sensing appa…
Deep Micro Solvers for Rough-Wall Stokes Flow in a Heterogeneous Multiscale Method
Emanuel Ström, Anna-Karin Tornberg, Ozan Öktem
We propose a learned precomputation for the heterogeneous multiscale method (HMM) for rough-wall Stokes flow. A Fourier neural operator is used to approximate local averages over m…
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…
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging
Chong Chen, Barbara Gris, Ozan Öktem
We propose a new variational model for joint image reconstruction and motion estimation in spatiotemporal imaging, which is investigated along a general framework that we present w…
Indirect Image Registration with Large Diffeomorphic Deformations
Chong Chen, Ozan Öktem
The paper adapts the large deformation diffeomorphic metric mapping framework for image registration to the indirect setting where a template is registered against a target that is…