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ORCIDOzan Öktem
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2020 – today
- 2024
[j19]Sebastian Banert
, Jevgenija Rudzusika, Ozan Öktem, Jonas Adler:
Accelerated Forward-Backward Optimization Using Deep Learning. SIAM J. Optim. 34(2): 1236-1263 (2024)- [j18]Jevgenija Rudzusika, Buda Bajic, Thomas Köhler, Ozan Öktem:
3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture. IEEE Trans. Computational Imaging 10: 1414-1424 (2024) - [c7]Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola B. Schönlieb:
Data-Driven Convex Regularizers for Inverse Problems. ICASSP 2024: 13386-13390 - [i27]Knut Salomonsson, Eric Oldgren, Emanuel Ström, Ozan Öktem:
Fast deep learning based reconstruction for limited angle tomography. CoRR abs/2402.12141 (2024) - [i26]Buda Bajic, Johannes A. J. Huber, Benedikt Neyses, Linus Olofsson, Ozan Öktem:
Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry. CoRR abs/2403.02820 (2024) - 2023
- [j17]Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo:
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation. Comput. Biol. Medicine 163: 107096 (2023) - [j16]Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb:
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. SIAM J. Imaging Sci. 16(3): 1440-1490 (2023) - [j15]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40(1): 164-182 (2023) - [i25]Paul Häusner, Ozan Öktem, Jens Sjölund:
Neural incomplete factorization: learning preconditioners for the conjugate gradient method. CoRR abs/2305.16368 (2023) - [i24]Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb:
Riemannian geometry for efficient analysis of protein dynamics data. CoRR abs/2308.07818 (2023) - 2022
- [j14]Chong Chen, Runqian Wang, Chandrajit Bajaj, Ozan Öktem:
An efficient algorithm to compute the X-ray transform. Int. J. Comput. Math. 99(7): 1325-1343 (2022) - [j13]Jevgenija Rudzusika, Thomas Köhler, Ozan Öktem:
Deep Learning-Based Dictionary Learning and Tomographic Image Reconstruction. SIAM J. Imaging Sci. 15(4): 1729-1764 (2022) - [j12]Emanuel Ström, Mats Persson, Alma Eguizabal, Ozan Öktem:
Photon-Counting CT Reconstruction With a Learned Forward Operator. IEEE Trans. Computational Imaging 8: 536-550 (2022) - [i23]Buda Bajic, Ozan Öktem, Jevgenija Rudzusika:
3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method. CoRR abs/2205.11952 (2022) - [i22]Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb:
Learned reconstruction with convergence guarantees. CoRR abs/2206.05431 (2022) - [i21]Alma Eguizabal, Ozan Öktem, Mats U. Persson:
Deep Learning for Material Decomposition in Photon-Counting CT. CoRR abs/2208.03360 (2022) - [i20]Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo:
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation. CoRR abs/2209.09563 (2022) - 2021
- [c6]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS 2021: 21413-21425 - [c5]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM 2021: 540-552 - [i19]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR abs/2103.16151 (2021) - [i18]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR abs/2106.03538 (2021) - [i17]Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen:
Deep Microlocal Reconstruction for Limited-Angle Tomography. CoRR abs/2108.05732 (2021) - [i16]Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem:
Deep learning based dictionary learning and tomographic image reconstruction. CoRR abs/2108.11730 (2021) - 2020
- [j11]Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem:
Data-Driven Nonsmooth Optimization. SIAM J. Optim. 30(1): 102-131 (2020) - [j10]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. IEEE Trans. Computational Imaging 6: 843-856 (2020) - [i15]Andreas Hauptmann, Ozan Öktem, Carola Schönlieb:
Image reconstruction in dynamic inverse problems with temporal models. CoRR abs/2007.10238 (2020) - [i14]Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Learned convex regularizers for inverse problems. CoRR abs/2008.02839 (2020)
2010 – 2019
- 2019
- [j9]Simon R. Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb:
Solving inverse problems using data-driven models. Acta Numer. 28: 1-174 (2019) - [j8]Chong Chen, Barbara Gris, Ozan Öktem:
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging. SIAM J. Imaging Sci. 12(4): 1686-1719 (2019) - [j7]Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen:
Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks. SIAM J. Imaging Sci. 12(4): 1936-1966 (2019) - [j6]Medya Siadat, Nasser Aghazadeh, Farideh Akbarifard, Hjalmar Brismar, Ozan Öktem:
Joint Image Deconvolution and Separation Using Mixed Dictionaries. IEEE Trans. Image Process. 28(8): 3936-3945 (2019) - [c4]Ozan Öktem, Camille Pouchol, Olivier Verdier:
Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation. MLMIR@MICCAI 2019: 151-162 - [i13]Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen:
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks. CoRR abs/1901.01388 (2019) - [i12]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. CoRR abs/1908.00936 (2019) - [i11]Ozan Öktem, Camille Pouchol, Olivier Verdier:
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation. CoRR abs/1908.09515 (2019) - [i10]Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem:
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm. CoRR abs/1911.12159 (2019) - 2018
- [j5]Chong Chen, Ozan Öktem:
Indirect Image Registration with Large Diffeomorphic Deformations. SIAM J. Imaging Sci. 11(1): 575-617 (2018) - [j4]Medya Siadat, Nasser Aghazadeh, Ozan Öktem:
Reordering for improving global Arnoldi-Tikhonov method in image restoration problems. Signal Image Video Process. 12(3): 497-504 (2018) - [j3]Jonas Adler, Ozan Öktem:
Learned Primal-Dual Reconstruction. IEEE Trans. Medical Imaging 37(6): 1322-1332 (2018) - [c3]Sebastian Lunz, Carola Schönlieb, Ozan Öktem:
Adversarial Regularizers in Inverse Problems. NeurIPS 2018: 8516-8525 - [i9]Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarial Regularizers in Inverse Problems. CoRR abs/1805.11572 (2018) - [i8]Barbara Gris, Chong Chen, Ozan Öktem:
Image reconstruction through metamorphosis. CoRR abs/1806.01225 (2018) - [i7]Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem:
Task adapted reconstruction for inverse problems. CoRR abs/1809.00948 (2018) - [i6]Jonas Adler, Ozan Öktem:
Deep Bayesian Inversion. CoRR abs/1811.05910 (2018) - [i5]Chong Chen, Barbara Gris, Ozan Öktem:
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging. CoRR abs/1812.03446 (2018) - 2017
- [c2]Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem:
High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm. DGCI 2017: 109-121 - [i4]Jonas Adler, Ozan Öktem:
Solving ill-posed inverse problems using iterative deep neural networks. CoRR abs/1704.04058 (2017) - [i3]Chong Chen, Ozan Öktem:
Indirect Image Registration with Large Diffeomorphic Deformations. CoRR abs/1706.04048 (2017) - [i2]Jonas Adler, Ozan Öktem:
Learned Primal-dual Reconstruction. CoRR abs/1707.06474 (2017) - [i1]Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson:
Learning to solve inverse problems using Wasserstein loss. CoRR abs/1710.10898 (2017) - 2015
- [c1]Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem:
Infinite Dimensional Optimization Models and PDEs for Dejittering. SSVM 2015: 678-689 - [r1]Ozan Öktem:
Mathematics of Electron Tomography. Handbook of Mathematical Methods in Imaging 2015: 937-1031 - 2012
- [j2]Ajay Gopinath, Guoliang Xu, David Ress, Ozan Öktem, Sriram Subramaniam, Chandrajit L. Bajaj:
Shape-Based Regularization of Electron Tomographic Reconstruction. IEEE Trans. Medical Imaging 31(12): 2241-2252 (2012)
2000 – 2009
- 2008
- [j1]Eric Todd Quinto, Ozan Öktem:
Local Tomography in Electron Microscopy. SIAM J. Appl. Math. 68(5): 1282-1303 (2008)
Coauthor Index
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