Ozan Öktem
Ozan Öktem
Department of Mathematics, KTH - Royal Institute of Technology
Verified email at oktem.se
Title
Cited by
Cited by
Year
Solving ill-posed inverse problems using iterative deep neural networks
J Adler, O Öktem
Inverse Problems 33 (12), 124007, 2017
2402017
Learned primal-dual reconstruction
J Adler, O Öktem
IEEE transactions on medical imaging 37 (6), 1322-1332, 2018
2352018
Solving inverse problems using data-driven models
S Arridge, P Maass, O Öktem, CB Schönlieb
Acta Numerica 28, 1-174, 2019
792019
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
642013
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
642008
Adversarial regularizers in inverse problems
S Lunz, O Öktem, CB Schönlieb
Advances in Neural Information Processing Systems, 8507-8516, 2018
552018
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
512011
Local tomography in electron microscopy
ET Quinto, O Öktem
SIAM Journal on Applied Mathematics 68 (5), 1282-1303, 2008
402008
Molecular cryo‐electron tomography of vitreous tissue sections: current challenges
L Norlén, O Öktem, U Skoglund
Journal of microscopy 235 (3), 293-307, 2009
332009
Extension of separately analytic functions and applications to range characterization of the exponential Radon transform
O Öktem
Annales Polonici Mathematici 70, 195-213, 1998
331998
Deep bayesian inversion
J Adler, O Öktem
arXiv preprint arXiv:1811.05910, 2018
302018
A componentwise iterated relative entropy regularization method with updated prior and regularization parameter
H Rullgård, O Öktem, U Skoglund
Inverse Problems 23 (5), 2121, 2007
252007
Operator discretization library (ODL)
J Adler, H Kohr, O Oktem
Software available from https://github. com/odlgroup/odl, 2017
202017
Learning to solve inverse problems using Wasserstein loss
J Adler, A Ringh, O Öktem, J Karlsson
arXiv preprint arXiv:1710.10898, 2017
182017
Electron lambda-tomography
ET Quinto, U Skoglund, O Öktem
Proceedings of the National Academy of Sciences 106 (51), 21842-21847, 2009
182009
ODL-a Python framework for rapid prototyping in inverse problems
J Adler, H Kohr, O Öktem
Royal Institute of Technology, 2017
162017
Mathematics of electron tomography
O Öktem
Springer, 2015
152015
Indirect image registration with large diffeomorphic deformations
C Chen, O Oktem
SIAM Journal on Imaging Sciences 11 (1), 575-617, 2018
142018
Shape-based regularization of electron tomographic reconstruction
A Gopinath, G Xu, D Ress, O Oktem, S Subramaniam, C Bajaj
IEEE transactions on medical imaging 31 (12), 2241-2252, 2012
112012
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
arXiv preprint arXiv:1809.00948, 2018
92018
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