Ozan Öktem

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Jonas AdlerSenior Research Scientist, Google DeepMindVerified email at google.com
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
Sebastian LunzPhD Student, University of CambridgeVerified email at cam.ac.uk
Todd QuintoRobinson Professor of Mathematics, Tufts UniversityVerified email at tufts.edu
Simon ARRIDGEUniversity College LondonVerified email at cs.ucl.ac.uk
Peter MaassProfessor Mathematics, University of BremenVerified email at math.uni-bremen.de
Chandrajit BajajComputational Applied Mathematics Chair, Professor of Computer Science,Verified email at cs.utexas.edu
Duccio FanelliUniversity of FlorenceVerified email at unifi.it
Abraham J KosterLeiden University Medical CenterVerified email at lumc.nl
Bernd RiegerProfessor, TU DelftVerified email at tudelft.nl
Ivan LazićSenior Scientist at Thermo Fisher Scientific, The NetherlandsVerified email at fei.com
Raimond RavelliMaastricht UniversityVerified email at maastrichtuniversity.nl
Axel RinghPostdoc, Dep. Electronic & Computer Engineering, The Hong Kong University of Science and TechnologyVerified email at ust.hk
lars norlenVerified email at ki.se
Johan KarlssonAssociate Professor, Department of Mathematics, KTH Royal Institute of TechnologyVerified email at math.kth.se
Lucas J. van VlietProfessor of Multidimensional Image Analysis, Delft University of TechnologyVerified email at TUDelft.NL
Olivier VerdierBergen University CollegeVerified email at hvl.no
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichVerified email at math.lmu.de
Hector Andrade-LoarcaPhD Student, Technische Universität BerlinVerified email at math.tu-berlin.de
Sebastian BanertPost-doc, Lund UniversityVerified email at control.lth.se

Ozan Öktem

Department of Mathematics, KTH - Royal Institute of Technology

Verified email at oktem.se

Inverse Problems Mathematical Analysis Deep Learning Tomography Microscopy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging 37 (6), 1322-1332, 2018	310	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	302	2017
Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019	127	2019
Adversarial regularizers in inverse problems S Lunz, O Öktem, CB Schönlieb arXiv preprint arXiv:1805.11572, 2018	85	2018
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	69	2013
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	66	2008
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	55	2011
Operator discretization library J Adler, H Kohr, O Öktem URL https://github. com/odlgroup/odl, 2017	50*	2017
Deep bayesian inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	42	2018
Local tomography in electron microscopy ET Quinto, O Öktem SIAM Journal on Applied Mathematics 68 (5), 1282-1303, 2008	41	2008
Molecular cryo‐electron tomography of vitreous tissue sections: current challenges L Norlén, O Öktem, U Skoglund Journal of microscopy 235 (3), 293-307, 2009	34	2009
Extension of separately analytic functions and applications to range characterization of the exponential Radon transform O Öktem Annales Polonici Mathematici 70, 195-213, 1998	32	1998
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	24	2007
Learning to solve inverse problems using Wasserstein loss J Adler, A Ringh, O Öktem, J Karlsson arXiv preprint arXiv:1710.10898, 2017	23	2017
Mathematics of electron tomography O Öktem Springer, 2015	19	2015
Electron lambda-tomography ET Quinto, U Skoglund, O Öktem Proceedings of the National Academy of Sciences 106 (51), 21842-21847, 2009	18*	2009
Indirect image registration with large diffeomorphic deformations C Chen, O Oktem SIAM Journal on Imaging Sciences 11 (1), 575-617, 2018	16	2018
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem arXiv preprint arXiv:1809.00948, 2018	14	2018
Shape-based image reconstruction using linearized deformations O Oektem, C Chen, NO Domanic, P Ravikumar, C Bajaj Inverse problems 33 (3), 035004, 2017	11	2017
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	11	2012

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