755 citations · 1.6k across the 34 of their papers we have counts for
37 papers
Recovering protein conformations from single-particle cryo-EM data via indirect shape matching gradient flows
Erik Jansson, Jonathan Krook, Ozan Öktem +1
Single-particle cryo-electron microscopy images a macromolecule as many noisy tomographic projections of its electrostatic potential. We reconstruct the protein backbone directly f…
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…
Protein Graph Neural Networks for Heterogeneous Cryo-EM Reconstruction
Jonathan Krook, Axel Janson, Joakim Andén +2
We present a geometry-aware method for heterogeneous single-particle cryogenic electron microscopy (cryo-EM) reconstruction that predicts atomic backbone conformations. To incorpor…
Learned iterative networks: An operator learning perspective
Andreas Hauptmann, Ozan Öktem
Learned image reconstruction has become a pillar in computational imaging and inverse problems. Among the most successful approaches are learned iterative networks, which are formu…
Improving the Generalisation of Learned Reconstruction Frameworks
Emilien Valat, Ozan Öktem
Ensuring proper generalization is a critical challenge in applying data-driven methods for solving inverse problems in imaging, as neural networks reconstructing an image must perf…
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…