Ozan Öktem

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 49

Top Topics

Image Reconstruction

Inverse Problems

Top Venues

SIAM J. Imaging Sci.

Publications

Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola B. Schönlieb
Data-Driven Convex Regularizers for Inverse Problems. ICASSP (2024)
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 (2024)
Knut Salomonsson, Eric Oldgren, Emanuel Ström, Ozan Öktem
Fast deep learning based reconstruction for limited angle tomography. CoRR (2024)
Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem, Jonas Adler
Accelerated Forward-Backward Optimization Using Deep Learning. SIAM J. Optim. 34 (2) (2024)
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) (2023)
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 (2023)
Paul Häusner, Ozan Öktem, Jens Sjölund
Neural incomplete factorization: learning preconditioners for the conjugate gradient method. CoRR (2023)
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) (2023)
Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
Riemannian geometry for efficient analysis of protein dynamics data. CoRR (2023)
Buda Bajic, Ozan Öktem, Jevgenija Rudzusika
3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method. CoRR (2022)
Jevgenija Rudzusika, Thomas Köhler, Ozan Öktem
Deep Learning-Based Dictionary Learning and Tomographic Image Reconstruction. SIAM J. Imaging Sci. 15 (4) (2022)
Emanuel Ström, Mats Persson, Alma Eguizabal, Ozan Öktem
Photon-Counting CT Reconstruction With a Learned Forward Operator. IEEE Trans. Computational Imaging 8 (2022)
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 (2022)
Chong Chen, Runqian Wang, Chandrajit Bajaj, Ozan Öktem
An efficient algorithm to compute the X-ray transform. Int. J. Comput. Math. 99 (7) (2022)
Alma Eguizabal, Ozan Öktem, Mats U. Persson
Deep Learning for Material Decomposition in Photon-Counting CT. CoRR (2022)
Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
Learned reconstruction with convergence guarantees. CoRR (2022)
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS (2021)
Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM (2021)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
Deep Microlocal Reconstruction for Limited-Angle Tomography. CoRR (2021)
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR (2021)
Jevgenija Rudzusika, Thomas Koehler, Ozan Öktem
Deep learning based dictionary learning and tomographic image reconstruction. CoRR (2021)
Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR (2021)
Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem
Multi-Scale Learned Iterative Reconstruction. IEEE Trans. Computational Imaging 6 (2020)
Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem
Data-Driven Nonsmooth Optimization. SIAM J. Optim. 30 (1) (2020)
Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Learned convex regularizers for inverse problems. CoRR (2020)
Andreas Hauptmann, Ozan Öktem, Carola Schönlieb
Image reconstruction in dynamic inverse problems with temporal models. CoRR (2020)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm. CoRR (2019)
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) (2019)
Simon R. Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb
Solving inverse problems using data-driven models. Acta Numer. 28 (2019)
Ozan Öktem, Camille Pouchol, Olivier Verdier
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation. CoRR (2019)
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) (2019)
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks. CoRR (2019)
Ozan Öktem, Camille Pouchol, Olivier Verdier
Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation. MLMIR@MICCAI (2019)
Medya Siadat, Nasser Aghazadeh, Farideh Akbarifard, Hjalmar Brismar, Ozan Öktem
Joint Image Deconvolution and Separation Using Mixed Dictionaries. IEEE Trans. Image Process. 28 (8) (2019)
Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem
Multi-Scale Learned Iterative Reconstruction. CoRR (2019)
Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Adversarial Regularizers in Inverse Problems. CoRR (2018)
Chong Chen, Barbara Gris, Ozan Öktem
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging. CoRR (2018)
Medya Siadat, Nasser Aghazadeh, Ozan Öktem
Reordering for improving global Arnoldi-Tikhonov method in image restoration problems. Signal Image Video Process. 12 (3) (2018)
Barbara Gris, Chong Chen, Ozan Öktem
Image reconstruction through metamorphosis. CoRR (2018)
Sebastian Lunz, Carola Schönlieb, Ozan Öktem
Adversarial Regularizers in Inverse Problems. NeurIPS (2018)
Jonas Adler, Ozan Öktem
Learned Primal-Dual Reconstruction. IEEE Trans. Medical Imaging 37 (6) (2018)
Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem
Task adapted reconstruction for inverse problems. CoRR (2018)
Chong Chen, Ozan Öktem
Indirect Image Registration with Large Diffeomorphic Deformations. SIAM J. Imaging Sci. 11 (1) (2018)
Jonas Adler, Ozan Öktem
Deep Bayesian Inversion. CoRR (2018)
Jonas Adler, Ozan Öktem
Learned Primal-dual Reconstruction. CoRR (2017)
Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson
Learning to solve inverse problems using Wasserstein loss. CoRR (2017)
Chong Chen, Ozan Öktem
Indirect Image Registration with Large Diffeomorphic Deformations. CoRR (2017)
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)
Jonas Adler, Ozan Öktem
Solving ill-posed inverse problems using iterative deep neural networks. CoRR (2017)
Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem
Infinite Dimensional Optimization Models and PDEs for Dejittering. SSVM (2015)
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) (2012)
Eric Todd Quinto, Ozan Öktem
Local Tomography in Electron Microscopy. SIAM J. Appl. Math. 68 (5) (2008)