755 citations · 1.6k across the 34 of their papers we have counts for
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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…
Deep Bayesian Inversion
Jonas Adler, Ozan Öktem
Characterizing statistical properties of solutions of inverse problems is essential for decision making. Bayesian inversion offers a tractable framework for this purpose, but curre…
Template-Based Image Reconstruction from Sparse Tomographic Data
Lukas F. Lang, Sebastian Neumayer, Ozan Öktem +1
We propose a variational regularisation approach for the problem of template-based image reconstruction from indirect, noisy measurements as given, for instance, in X-ray computed…
Task adapted reconstruction for inverse problems
Jonas Adler, Sebastian Lunz, Olivier Verdier +2
The paper considers the problem of performing a task defined on a model parameter that is only observed indirectly through noisy data in an ill-posed inverse problem. A key aspect…
Image reconstruction through metamorphosis
Gris Barbara, Chen Chong, Öktem Ozan
This article adapts the framework of metamorphosis to solve inverse problems in imaging that includes joint reconstruction and image registration. The deformations in question have…
Adversarial Regularizers in Inverse Problems
Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Inverse Problems in medical imaging and computer vision are traditionally solved using purely model-based methods. Among those variational regularization models are one of the most…