Ozan Öktem

According to our database, Ozan Öktem authored at least 47 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture.

Jevgenija Rudzusika, Buda Bajic, Thomas Köhler, Ozan Öktem

IEEE Trans. Computational Imaging, 2024

Accelerated Forward-Backward Optimization Using Deep Learning.

Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem, Jonas Adler

SIAM J. Optim., 2024

Self-Supervised Denoiser Framework.

Emilien Valat, Andreas Hauptmann, Ozan Öktem

CoRR, 2024

Pullback Flow Matching on Data Manifolds.

Friso de Kruiff, Erik Bekkers, Ozan Öktem, Carola-Bibiane Schönlieb, Willem Diepeveen

CoRR, 2024

Geometric shape matching for recovering protein conformations from single-particle Cryo-EM data.

Erik Jansson, Jonathan Krook, Klas Modin, Ozan Öktem

CoRR, 2024

Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry.

Buda Bajic, Johannes A. J. Huber, Benedikt Neyses, Linus Olofsson, Ozan Öktem

CoRR, 2024

Fast deep learning based reconstruction for limited angle tomography.

Knut Salomonsson, Eric Oldgren, Emanuel Ström, Ozan Öktem

CoRR, 2024

Data-Driven Convex Regularizers for Inverse Problems.

Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola B. Schönlieb

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds.

Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., September, 2023

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

Comput. Biol. Medicine, September, 2023

Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications.

Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb

IEEE Signal Process. Mag., 2023

Riemannian geometry for efficient analysis of protein dynamics data.

Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb

CoRR, 2023

Neural incomplete factorization: learning preconditioners for the conjugate gradient method.

Paul Häusner, Ozan Öktem, Jens Sjölund

CoRR, 2023

2022

Photon-Counting CT Reconstruction With a Learned Forward Operator.

Emanuel Ström, Mats Persson, Alma Eguizabal, Ozan Öktem

IEEE Trans. Computational Imaging, 2022

Deep Learning-Based Dictionary Learning and Tomographic Image Reconstruction.

Jevgenija Rudzusika, Thomas Köhler, Ozan Öktem

SIAM J. Imaging Sci., 2022

An efficient algorithm to compute the X-ray transform.

Chong Chen, Runqian Wang, Chandrajit Bajaj, Ozan Öktem

Int. J. Comput. Math., 2022

Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.

Thomas Buddenkotte, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Ramona Woitek, Cathal McCague, James D. Brenton, Ozan Öktem, Evis Sala, Leonardo Rundo

CoRR, 2022

Deep Learning for Material Decomposition in Photon-Counting CT.

Alma Eguizabal, Ozan Öktem, Mats U. Persson

CoRR, 2022

Learned reconstruction with convergence guarantees.

Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb

CoRR, 2022

3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method.

Buda Bajic, Ozan Öktem, Jevgenija Rudzusika

CoRR, 2022

2021

Deep Microlocal Reconstruction for Limited-Angle Tomography.

Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen

CoRR, 2021

Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems.

Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

End-to-end reconstruction meets data-driven regularization for inverse problems.

Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Multi-Scale Learned Iterative Reconstruction.

Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem

IEEE Trans. Computational Imaging, 2020

Data-Driven Nonsmooth Optimization.

Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem

SIAM J. Optim., 2020

Learned convex regularizers for inverse problems.

Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb

CoRR, 2020

Image reconstruction in dynamic inverse problems with temporal models.

Andreas Hauptmann, Ozan Öktem, Carola Schönlieb

CoRR, 2020

2019

Joint Image Deconvolution and Separation Using Mixed Dictionaries.

Medya Siadat, Nasser Aghazadeh, Farideh Akbarifard, Hjalmar Brismar, Ozan Öktem

IEEE Trans. Image Process., 2019

A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging.

Chong Chen, Barbara Gris, Ozan Öktem

SIAM J. Imaging Sci., 2019

Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks.

Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen

SIAM J. Imaging Sci., 2019

Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm.

Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem

CoRR, 2019

Solving inverse problems using data-driven models.

Simon R. Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb

Acta Numer., 2019

Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation.

Ozan Öktem, Camille Pouchol, Olivier Verdier

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018

Learned Primal-Dual Reconstruction.

Jonas Adler, Ozan Öktem

IEEE Trans. Medical Imaging, 2018

Reordering for improving global Arnoldi-Tikhonov method in image restoration problems.

Medya Siadat, Nasser Aghazadeh, Ozan Öktem

Signal Image Video Process., 2018

Indirect Image Registration with Large Diffeomorphic Deformations.

Chong Chen, Ozan Öktem

SIAM J. Imaging Sci., 2018

Deep Bayesian Inversion.

Jonas Adler, Ozan Öktem

CoRR, 2018

Task adapted reconstruction for inverse problems.

Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem

CoRR, 2018

Image reconstruction through metamorphosis.

Barbara Gris, Chong Chen, Ozan Öktem

CoRR, 2018

Adversarial Regularizers in Inverse Problems.

Sebastian Lunz, Carola Schönlieb, Ozan Öktem

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Learning to solve inverse problems using Wasserstein loss.

Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson

CoRR, 2017

Solving ill-posed inverse problems using iterative deep neural networks.

Jonas Adler, Ozan Öktem

CoRR, 2017

High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm.

Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem

Proceedings of the Discrete Geometry for Computer Imagery, 2017

2015

Mathematics of Electron Tomography.

Ozan Öktem

Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Infinite Dimensional Optimization Models and PDEs for Dejittering.

Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2012

Shape-Based Regularization of Electron Tomographic Reconstruction.

Ajay Gopinath, Guoliang Xu, David Ress, Ozan Öktem, Sriram Subramaniam, Chandrajit L. Bajaj

IEEE Trans. Medical Imaging, 2012

2008

Local Tomography in Electron Microscopy.

Eric Todd Quinto, Ozan Öktem

SIAM J. Appl. Math., 2008