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
Simon ARRIDGEUniversity College LondonVerified email at cs.ucl.ac.uk
Peter MaassProfessor Mathematics, University of BremenVerified email at math.uni-bremen.de
Todd QuintoRobinson Professor of Mathematics, Tufts UniversityVerified email at tufts.edu
Chandrajit BajajComputational Applied Mathematics Chair, Professor of Computer Science,Verified email at cs.utexas.edu
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of TechnologyVerified email at chalmers.se
Duccio FanelliUniversity of FlorenceVerified email at unifi.it
Johan KarlssonAssociate Professor, Department of Mathematics, KTH Royal Institute of TechnologyVerified email at math.kth.se
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
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichVerified email at math.lmu.de
Hector Andrade-LoarcaPostDoc, Ludwig-Maximilians-Universität MünchenVerified email at math.tu-berlin.de
Subhadip MukherjeeUniversity of CambridgeVerified email at cam.ac.uk
Olivier VerdierBergen University CollegeVerified email at hvl.no
Sebastian BanertPost-doc, Lund UniversityVerified email at control.lth.se
Barbara GrisChargée de recherche CNRS, Laboratoire Jacques-Louis Lions (Sorbonne Université)Verified email at sorbonne-universite.fr

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	498	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	435	2017
Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019	275	2019
Adversarial regularizers in inverse problems S Lunz, O Öktem, CB Schönlieb Advances in neural information processing systems 31, 2018	139	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	81	2013
Operator discretization library J Adler, H Kohr, O Öktem URL https://github. com/odlgroup/odl, 2017	79*	2017
Deep bayesian inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	73	2018
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	70	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	68	2011
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	34	1998
Learning to solve inverse problems using Wasserstein loss J Adler, A Ringh, O Öktem, J Karlsson arXiv preprint arXiv:1710.10898, 2017	27	2017
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
Learned convex regularizers for inverse problems S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb arXiv preprint arXiv:2008.02839, 2020	22	2020
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems, 2021	21	2021
Indirect image registration with large diffeomorphic deformations C Chen, O Oktem SIAM Journal on Imaging Sciences 11 (1), 575-617, 2018	21	2018
Mathematics of electron tomography O Öktem Springer, 2015	21	2015
Electron lambda-tomography ET Quinto, U Skoglund, O Öktem Proceedings of the National Academy of Sciences 106 (51), 21842-21847, 2009	20	2009
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	18	2020

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