Matthias J. Ehrhardt

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Image Reconstruction

Inverse Problems

Learning Models

Emission Tomography

Top Venues

SIAM J. Imaging Sci.

J. Math. Imaging Vis.

IEEE Trans. Medical Imaging

Publications

Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
Proximal Langevin Sampling with Inexact Proximal Mapping. SIAM J. Imaging Sci. 17 (3) (2024)
Matthias J. Ehrhardt, Patrick Fahy, Mohammad Golbabaee
Learning Preconditioners for Inverse Problems. CoRR (2024)
Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. 66 (3) (2024)
Matthias J. Ehrhardt, Zeljko Kereta, Jingwei Liang, Junqi Tang
A Guide to Stochastic Optimisation for Large-Scale Inverse Problems. CoRR (2024)
Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
Regularising Inverse Problems with Generative Machine Learning Models. J. Math. Imaging Vis. 66 (1) (2024)
Pablo Arratia, Matthias J. Ehrhardt, Lisa Kreusser
Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers. CoRR (2024)
Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
Dynamic Bilevel Learning with Inexact Line Search. CoRR (2023)
Matthias J. Ehrhardt, Lindon Roberts
Analyzing Inexact Hypergradients for Bilevel Learning. CoRR (2023)
Matthias J. Ehrhardt, Silvia Gazzola, Sebastian James Scott
On Optimal Regularization Parameters via Bilevel Learning. CoRR (2023)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40 (1) (2023)
Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb
Designing Stable Neural Networks using Convex Analysis and ODEs. CoRR (2023)
Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
Proximal Langevin Sampling With Inexact Proximal Mapping. CoRR (2023)
Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Accelerating variance-reduced stochastic gradient methods. Math. Program. 191 (2) (2022)
Margaret Duff, Ivor J. A. Simpson, Matthias J. Ehrhardt, Neill D. F. Campbell
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. CoRR (2022)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging with Equivariant Deep Learning. CoRR (2022)
Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. CoRR (2022)
Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction. CoRR (2022)
Erlend Skaldehaug Riis, Matthias J. Ehrhardt, G. R. W. Quispel, Carola-Bibiane Schönlieb
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation. Found. Comput. Math. 22 (5) (2022)
Evelyn Cueva, Alexander Meaney, Samuli Siltanen, Matthias J. Ehrhardt
Synergistic Multi-spectral CT Reconstruction with Directional Total Variation. CoRR (2021)
Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI. SSVM (2021)
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Equivariant neural networks for inverse problems. CoRR (2021)
Martin Benning, Marta M. Betcke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework. SIAM J. Imaging Sci. 14 (2) (2021)
Matthias J. Ehrhardt, Lindon Roberts
Inexact Derivative-Free Optimization for Bilevel Learning. J. Math. Imaging Vis. 63 (5) (2021)
Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
Regularising Inverse Problems with Generative Machine Learning Models. CoRR (2021)
Leon Bungert, Matthias J. Ehrhardt
Robust Image Reconstruction with Misaligned Structural Information. CoRR (2020)
Matthias J. Ehrhardt
Multi-modality imaging with structure-promoting regularisers. CoRR (2020)
Leon Bungert, Matthias J. Ehrhardt
Robust Image Reconstruction With Misaligned Structural Information. IEEE Access 8 (2020)
Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt
On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization. CoRR (2020)
Matthias J. Ehrhardt, Lindon Roberts
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization. CoRR (2020)
Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I. McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Structure preserving deep learning. CoRR (2020)
Evgueni Ovtchinnikov, Richard Brown, Christoph Kolbitsch, Edoardo Pasca, Casper O. da Costa-Luis, Ashley Gillman, Benjamin A. Thomas, Nikos Efthimiou, Johannes Mayer, Palak Wadhwa, Matthias J. Ehrhardt, Sam Ellis, Jakob Sauer Jørgensen, Julian C. Matthews, Claudia Prieto, Andrew J. Reader, Charalampos Tsoumpas, Martin J. Turner, Kris Thielemans
SIRF: Synergistic Image Reconstruction Framework. Comput. Phys. Commun. 249 (2020)
Matthias J. Ehrhardt, Lindon Roberts
Inexact Derivative-Free Optimization for Bilevel Learning. CoRR (2020)
Ferdia Sherry, Martin Benning, Juan Carlos de los Reyes, Martin J. Graves, Georg Maierhofer, Guy Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt
Learning the Sampling Pattern for MRI. CoRR (2019)
Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
Deep learning as optimal control problems: models and numerical methods. CoRR (2019)
Matthias J. Ehrhardt, Pawel Markiewicz, Carola-Bibiane Schönlieb
Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. CoRR (2018)
Yu-Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt, Charles W. Stearns, Sangtae Ahn, Brian F. Hutton, Simon R. Arridge, Kris Thielemans
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Trans. Medical Imaging 37 (4) (2018)
Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. SIAM J. Optim. 28 (4) (2018)
Pawel J. Markiewicz, Matthias J. Ehrhardt, Kjell Erlandsson, Philip J. Noonan, Anna Barnes, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics 16 (1) (2018)
Leon Bungert, David A. Coomes, Matthias J. Ehrhardt, Jennifer Rasch, Rafael Reisenhofer, Carola-Bibiane Schönlieb
Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. CoRR (2017)
Antonin Chambolle, Matthias J. Ehrhardt, Peter Richtárik, Carola-Bibiane Schönlieb
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications. CoRR (2017)
Matthias J. Ehrhardt, Marta M. Betcke
Multicontrast MRI Reconstruction with Structure-Guided Total Variation. SIAM J. Imaging Sci. 9 (3) (2016)
Matthias J. Ehrhardt, Pawel Markiewicz, Maria Liljeroth, Anna Barnes, Ville Kolehmainen, John S. Duncan, Luis Pizarro, David Atkinson, Brian F. Hutton, Sébastien Ourselin, Kris Thielemans, Simon R. Arridge
PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets. IEEE Trans. Medical Imaging 35 (9) (2016)
Matthias J. Ehrhardt, Marta M. Betcke
Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation. CoRR (2015)