Ozan Öktem

According to our database1, Ozan Öktem authored at least 24 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Multi-Scale Learned Iterative Reconstruction.
IEEE Trans. Computational Imaging, 2020

Data-Driven Nonsmooth Optimization.
SIAM J. Optim., 2020

Learned convex regularizers for inverse problems.
CoRR, 2020

Image reconstruction in dynamic inverse problems with temporal models.
CoRR, 2020

2019
Joint Image Deconvolution and Separation Using Mixed Dictionaries.
IEEE Trans. Image Process., 2019

A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging.
SIAM J. Imaging Sci., 2019

Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks.
SIAM J. Imaging Sci., 2019

Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm.
CoRR, 2019

Solving inverse problems using data-driven models.
Acta Numer., 2019

Spatiotemporal PET Reconstruction Using ML-EM with Learned Diffeomorphic Deformation.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018
Learned Primal-Dual Reconstruction.
IEEE Trans. Medical Imaging, 2018

Reordering for improving global Arnoldi-Tikhonov method in image restoration problems.
Signal Image Video Process., 2018

Indirect Image Registration with Large Diffeomorphic Deformations.
SIAM J. Imaging Sci., 2018

Deep Bayesian Inversion.
CoRR, 2018

Task adapted reconstruction for inverse problems.
CoRR, 2018

Image reconstruction through metamorphosis.
CoRR, 2018

Adversarial Regularizers in Inverse Problems.
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.
CoRR, 2017

Solving ill-posed inverse problems using iterative deep neural networks.
CoRR, 2017

High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm.
Proceedings of the Discrete Geometry for Computer Imagery, 2017

2015
Mathematics of Electron Tomography.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Infinite Dimensional Optimization Models and PDEs for Dejittering.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2012
Shape-Based Regularization of Electron Tomographic Reconstruction.
IEEE Trans. Medical Imaging, 2012

2008
Local Tomography in Electron Microscopy.
SIAM J. Appl. Math., 2008


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