Ozan Oktem

Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications

C. Schonlieb, C. Schönlieb, M. Pereyra, 2022, IEEE Signal Processing Magazine.

Lifting-based Global Optimisation over Riemannian Manifolds: Theory and Applications in Cryo-EM

C. Schonlieb, C. Schönlieb, J. Lellmann, 2022 .

Spectral decomposition of atomic structures in heterogeneous cryo-EM

C. Schonlieb, C. Schönlieb, O. Öktem, 2022, Inverse Problems.

Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds

C. Schonlieb, C. Schönlieb, J. Lellmann, 2022, SIAM J. Imaging Sci..

Accelerated Forward-Backward Optimization using Deep Learning

Jonas Adler, Sebastian Banert, Ozan Oktem, 2021, 2105.05210.

Learned convex regularizers for inverse problems

C. Schonlieb, Sebastian Lunz, Sören Dittmer, 2020, ArXiv.

An efficient algorithm to compute the X-ray transform

C. Bajaj, C. Chen, Ozan Oktem, 2020, Int. J. Comput. Math..

3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture

Jevgenija Rudzusika, Ozan Oktem, Buda Bajić, 2022, 2205.11952.