Ozan Öktem

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Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
Jonas AdlerStaff Research Scientist, Google DeepMindVerified email at google.com
Subhadip MukherjeeAssistant Professor, Department of E&ECE, IIT Kharagpur, IndiaVerified email at ece.iitkgp.ac.in
Simon ARRIDGEUniversity College LondonVerified email at cs.ucl.ac.uk
Peter MaassProfessor Mathematics, University of BremenVerified email at math.uni-bremen.de
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluVerified email at oulu.fi
Eric Todd QuintoRobinson Professor of Mathematics, Tufts UniversityVerified email at tufts.edu
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of TechnologyVerified email at chalmers.se
Chandrajit BajajComputational Applied Mathematics Chair, Professor of Computer Science,Verified email at cs.utexas.edu
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichVerified email at math.lmu.de
Jevgenija RudzusikaKTH Royal Institute of TechnologyVerified email at kth.se
Johan KarlssonProfessor, Department of Mathematics, KTH Royal Institute of TechnologyVerified email at math.kth.se
Duccio FanelliUniversity of FlorenceVerified email at unifi.it
Sebastian BanertPost-doc, University of BremenVerified email at uni-bremen.de
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 thermofisher.com
Raimond RavelliMaastricht UniversityVerified email at maastrichtuniversity.nl
Marcelo PereyraHeriot Watt University, School of Mathematical and Computer SciencesVerified email at hw.ac.uk
Olivier VerdierBergen University CollegeVerified email at hvl.no

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	939	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	738	2017
Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019	700	2019
Adversarial regularizers in inverse problems S Lunz, O Öktem, CB Schönlieb Advances in neural information processing systems 31, 2018	270	2018
Deep bayesian inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	146	2018
Operator discretization library J Adler, H Kohr, O Öktem URL https://github. com/odlgroup/odl, 2017	140*	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	129	2013
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	102	2011
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	78	2008
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	70	2023
Learned convex regularizers for inverse problems S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb arXiv preprint arXiv:2008.02839, 2020	65	2020
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	53	2020
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	52	2022
Local tomography in electron microscopy ET Quinto, O Öktem SIAM Journal on Applied Mathematics 68 (5), 1282-1303, 2008	49	2008
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	42	2021
Learning to solve inverse problems using Wasserstein loss J Adler, A Ringh, O Öktem, J Karlsson arXiv preprint arXiv:1710.10898, 2017	41	2017
Data-driven nonsmooth optimization S Banert, A Ringh, J Adler, J Karlsson, O Oktem SIAM Journal on Optimization 30 (1), 102-131, 2020	38	2020
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	37	1998
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	36	2019
Molecular cryo‐electron tomography of vitreous tissue sections: current challenges L Norlén, O Öktem, U Skoglund Journal of microscopy 235 (3), 293-307, 2009	35	2009

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