Ozan Öktem 个人学术档案 - 学术资源搜索

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Jonas AdlerStaff Research Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Carola-Bibiane SchönliebDAMTP, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Simon ARRIDGEUniversity College London在 cs.ucl.ac.uk 的电子邮件经过验证
Peter MaassProfessor Mathematics, University of Bremen在 math.uni-bremen.de 的电子邮件经过验证
Subhadip MukherjeeAssistant Professor, Department of E&ECE, IIT Kharagpur, India在 ece.iitkgp.ac.in 的电子邮件经过验证
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of Oulu在 oulu.fi 的电子邮件经过验证
Eric Todd QuintoRobinson Professor of Mathematics, Tufts University在 tufts.edu 的电子邮件经过验证
Chandrajit BajajComputational Applied Mathematics Chair, Professor of Computer Science,在 cs.utexas.edu 的电子邮件经过验证
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of Technology在 chalmers.se 的电子邮件经过验证
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU Munich在 math.lmu.de 的电子邮件经过验证
Hector Andrade-LoarcaPostDoc, Ludwig-Maximilians-Universität München在 math.lmu.de 的电子邮件经过验证
Johan KarlssonProfessor, Department of Mathematics, KTH Royal Institute of Technology在 math.kth.se 的电子邮件经过验证
Duccio FanelliUniversity of Florence在 unifi.it 的电子邮件经过验证
Jevgenija RudzusikaKTH Royal Institute of Technology在 kth.se 的电子邮件经过验证
Abraham J KosterLeiden University Medical Center在 lumc.nl 的电子邮件经过验证
Bernd RiegerProfessor, TU Delft在 tudelft.nl 的电子邮件经过验证
Ivan LazićSenior Scientist at Thermo Fisher Scientific, The Netherlands在 thermofisher.com 的电子邮件经过验证
Raimond RavelliMaastricht University在 maastrichtuniversity.nl 的电子邮件经过验证
Sebastian BanertPost-doc, University of Bremen在 uni-bremen.de 的电子邮件经过验证
Olivier VerdierBergen University College在 hvl.no 的电子邮件经过验证

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Ozan Öktem

Department of Mathematics, KTH - Royal Institute of Technology

在 oktem.se 的电子邮件经过验证

Inverse Problems Mathematical Analysis Deep Learning Tomography Microscopy


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging 37 (6), 1322-1332, 2018	856	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	688	2017
Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019	615	2019
Adversarial regularizers in inverse problems S Lunz, O Öktem, CB Schönlieb Advances in neural information processing systems 31, 2018	253	2018
Deep bayesian inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	134	2018
Operator discretization library J Adler, H Kohr, O Öktem ODL, 2017	128*	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	121	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	96	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	77	2008
Learned convex regularizers for inverse problems S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb arXiv preprint arXiv:2008.02839, 2020	56	2020
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	53*	2023
Local tomography in electron microscopy ET Quinto, O Öktem SIAM Journal on Applied Mathematics 68 (5), 1282-1303, 2008	49	2008
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	48	2022
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	48	2020
Learning to solve inverse problems using Wasserstein loss J Adler, A Ringh, O Öktem, J Karlsson arXiv preprint arXiv:1710.10898, 2017	40	2017
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	36	2021
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	36	1998
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
Data-driven nonsmooth optimization S Banert, A Ringh, J Adler, J Karlsson, O Oktem SIAM Journal on Optimization 30 (1), 102-131, 2020	34	2020
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	32	2019

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