Seuraa
Ozan Öktem
Ozan Öktem
Department of Mathematics, KTH - Royal Institute of Technology
Vahvistettu sähköpostiosoite verkkotunnuksessa oktem.se
Nimike
Viittaukset
Viittaukset
Vuosi
Learned primal-dual reconstruction
J Adler, O Öktem
IEEE transactions on medical imaging 37 (6), 1322-1332, 2018
9692018
Solving ill-posed inverse problems using iterative deep neural networks
J Adler, O Öktem
Inverse Problems 33 (12), 124007, 2017
7652017
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
Acta Numerica 28, 1-174, 2019
7362019
Adversarial regularizers in inverse problems
S Lunz, O Öktem, CB Schönlieb
Advances in neural information processing systems 31, 2018
2882018
Deep bayesian inversion
J Adler, O Öktem
Data-driven Models in Inverse Problems 31, 359-413, 2025
154*2025
Operator discretization library
J Adler, H Kohr, O Öktem
URL https://github. com/odlgroup/odl, 2017
150*2017
Image formation modeling in cryo-electron microscopy
M Vulović, RBG Ravelli, LJ van Vliet, AJ Koster, I Lazić, U Lücken, ...
Journal of structural biology 183 (1), 19-32, 2013
1372013
Simulation of transmission electron microscope images of biological specimens
H Rullgård, LG Öfverstedt, S Masich, B Daneholt, O Öktem
Journal of microscopy 243 (3), 234-256, 2011
1022011
Electron tomography: a short overview with an emphasis on the absorption potential model for the forward problem
D Fanelli, O Öktem
Inverse Problems 24 (1), 013001, 2008
772008
Learned convex regularizers for inverse problems
S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb
arXiv preprint arXiv:2008.02839, 2020
762020
Learned reconstruction methods with convergence guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O Öktem, M Pereyra, CB Schönlieb
IEEE Signal Processing Magazine 40 (1), 164-182, 2023
75*2023
Multi-scale learned iterative reconstruction
A Hauptmann, J Adler, S Arridge, O Öktem
IEEE transactions on computational imaging 6, 843-856, 2020
562020
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
Inverse Problems 38 (7), 075006, 2022
542022
Local tomography in electron microscopy
ET Quinto, O Öktem
SIAM Journal on Applied Mathematics 68 (5), 1282-1303, 2008
502008
End-to-end reconstruction meets data-driven regularization for inverse problems
S Mukherjee, M Carioni, O Öktem, CB Schönlieb
Advances in Neural Information Processing Systems 34, 21413-21425, 2021
462021
A new variational model for joint image reconstruction and motion estimation in spatiotemporal imaging
C Chen, B Gris, O Oktem
SIAM Journal on Imaging Sciences 12 (4), 1686-1719, 2019
442019
Learning to solve inverse problems using Wasserstein loss
J Adler, A Ringh, O Öktem, J Karlsson
arXiv preprint arXiv:1710.10898, 2017
412017
Data-driven nonsmooth optimization
S Banert, A Ringh, J Adler, J Karlsson, O Oktem
SIAM Journal on Optimization 30 (1), 102-131, 2020
382020
Extension of separately analytic functions and applications to range characterization of the exponential Radon transform
O Öktem
Annales Polonici Mathematici 70 (1), 195-213, 1998
381998
Indirect image registration with large diffeomorphic deformations
C Chen, O Oktem
SIAM Journal on Imaging Sciences 11 (1), 575-617, 2018
362018
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Artikkelit 1–20