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Matthias J. Ehrhardt
Matthias J. Ehrhardt
Mathematical Sciences, University of Bath
Verified email at bath.ac.uk - Homepage
Title
Cited by
Cited by
Year
Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications
A Chambolle, MJ Ehrhardt, P Richtárik, CB Schönlieb
SIAM Journal on Optimization 28 (4), 2783-2808, 2018
1822018
Joint reconstruction of PET-MRI by exploiting structural similarity
MJ Ehrhardt, K Thielemans, L Pizarro, D Atkinson, S Ourselin, BF Hutton, ...
Inverse Problems 31 (1), 015001, 2015
1662015
Multicontrast MRI Reconstruction with Structure-Guided Total Variation
MJ Ehrhardt, MM Betcke
SIAM Journal on Imaging Sciences 9 (3), 1084-1106, 2016
1302016
PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets.
MJ Ehrhardt, P Markiewicz, M Liljeroth, A Barnes, V Kolehmainen, ...
IEEE Transactions on Medical Imaging, 2016
1122016
Deep learning as optimal control problems: models and numerical methods
M Benning, E Celledoni, MJ Ehrhardt, B Owren, CB Schönlieb
Journal of Computational Dynamics 6 (2), 171-198, 2019
872019
Vector-valued image processing by parallel level sets
MJ Ehrhardt, SR Arridge
IEEE Transactions on Image Processing 23 (1), 9-18, 2014
752014
Learning the sampling pattern for MRI
F Sherry, M Benning, JC De los Reyes, MJ Graves, G Maierhofer, ...
IEEE Transactions on Medical Imaging, 2020
742020
Blind image fusion for hyperspectral imaging with the directional total variation
L Bungert, DA Coomes, MJ Ehrhardt, J Rasch, R Reisenhofer, ...
Inverse Problems 34 (4), 044003, 2018
592018
Sirf: Synergistic image reconstruction framework
E Ovtchinnikov, R Brown, C Kolbitsch, E Pasca, C da Costa-Luis, ...
Computer Physics Communications 249, 107087, 2020
532020
Structure-preserving deep learning
E Celledoni, MJ Ehrhardt, C Etmann, RI McLachlan, B Owren, ...
European Journal of Applied Mathematics 32 (5), 888-936, 2021
482021
NiftyPET: a high-throughput software platform for high quantitative accuracy and precision PET imaging and analysis
PJ Markiewicz, MJ Ehrhardt, K Erlandsson, PJ Noonan, A Barnes, ...
Neuroinformatics 16, 95-115, 2018
482018
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
MJ Ehrhardt, PJ Markiewicz, CB Schönlieb
Physics in Medicine & Biology, 2019
382019
Choose your path wisely: gradient descent in a Bregman distance framework
M Benning, MM Betcke, MJ Ehrhardt, CB Schönlieb
SIAM Journal on Imaging Sciences 14 (2), 814-843, 2021
332021
Accelerating variance-reduced stochastic gradient methods
D Driggs, MJ Ehrhardt, CB Schönlieb
Mathematical Programming, 1-45, 2020
282020
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning
YJ Tsai, A Bousse, MJ Ehrhardt, CW Stearns, S Ahn, BF Hutton, S Arridge, ...
IEEE transactions on medical imaging 37 (4), 1000-1010, 2018
272018
Equivariant neural networks for inverse problems
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, CB Schönlieb, F Sherry
Inverse problems 37 (8), 085006, 2021
262021
Regularising inverse problems with generative machine learning models
MAG Duff, NDF Campbell, MJ Ehrhardt
Journal of Mathematical Imaging and Vision 66 (1), 37-56, 2024
252024
Enhancing joint reconstruction and segmentation with non-convex Bregman iteration
V Corona, M Benning, MJ Ehrhardt, LF Gladden, R Mair, A Reci, ...
Inverse Problems 35 (5), 055001, 2019
232019
Incorporating structural prior information and sparsity into EIT using parallel level sets
V Kolehmainen, MJ Ehrhardt, SR Arridge
Inverse Problems and Imaging 13 (2), 285-307, 2019
232019
A geometric integration approach to nonsmooth, nonconvex optimisation
ES Riis, MJ Ehrhardt, GRW Quispel, CB Schönlieb
Foundations of Computational Mathematics, 1-44, 2021
222021
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Articles 1–20