Matthias J. Ehrhardt

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Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
Simon ARRIDGEUniversity College LondonVerified email at cs.ucl.ac.uk
Kris ThielemansProfessor in Medical Imaging Physics, UCLVerified email at ucl.ac.uk
David AtkinsonProfessor, University College LondonVerified email at ucl.ac.uk
Pawel J MarkiewiczUniversity College LondonVerified email at ucl.ac.uk
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerified email at kcl.ac.uk
Martin BenningQueen Mary University of LondonVerified email at qmul.ac.uk
Luis PizarroResearch Associate, University College LondonVerified email at ucl.ac.uk
Marta M. BetckeUniversity College LondonVerified email at ucl.ac.uk
Elena CelledoniProfessor of mathematics at the Norwegian University of Science and TechnologyVerified email at math.ntnu.no
Brynjulf OwrenProfessor of Mathematics, NTNU, NorwayVerified email at ntnu.no
Antonin ChambolleCEREMADE, CNRS & Université Paris-Dauphine, PSL Research UniversityVerified email at ceremade.dauphine.fr
Peter RichtarikProfessor, KAUSTVerified email at kaust.edu.sa
Anna BarnesPrincipal Research Fellow - King's College LondonVerified email at kcl.ac.uk
Edoardo PascaSenior Scientist, Science Technology Facilities CouncilVerified email at stfc.ac.uk
Leon BungertPostDoc, Hausdorff Center for Mathematics, University of BonnVerified email at hcm.uni-bonn.de
Casper O. da Costa-LuisUniversity College LondonVerified email at ucl.ac.uk
Christoph KolbitschResearch Associate, PTB Berlin, GermanyVerified email at ptb.de
Ashley GillmanPostdoctoral Research Fellow, Australian e-Health Research Centre, CSIROVerified email at csiro.au
Prof Jonathan M SchottInstitute of Neurology, UCLVerified email at ucl.ac.uk

Matthias J. Ehrhardt

Mathematical Sciences, University of Bath

Verified email at bath.ac.uk - Homepage

Mathematics Inverse Problems Medical Imaging Optimization Machine Learning


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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	133	2015
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	130	2018
Multicontrast MRI Reconstruction with Structure-Guided Total Variation MJ Ehrhardt, MM Betcke SIAM Journal on Imaging Sciences 9 (3), 1084-1106, 2016	95	2016
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	92	2016
Vector-valued image processing by parallel level sets MJ Ehrhardt, SR Arridge IEEE Transactions on Image Processing 23 (1), 9-18, 2014	67	2014
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	55	2019
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	36	2018
Learning the sampling pattern for MRI F Sherry, M Benning, JC De los Reyes, MJ Graves, G Maierhofer, ... IEEE Transactions on Medical Imaging, 2020	33	2020
Sirf: Synergistic image reconstruction framework E Ovtchinnikov, R Brown, C Kolbitsch, E Pasca, C da Costa-Luis, ... Computer Physics Communications 249, 107087, 2020	28	2020
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 (1), 95-115, 2018	28	2018
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	26*	2021
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	20	2018
Structure-preserving deep learning E Celledoni, MJ Ehrhardt, C Etmann, RI McLachlan, B Owren, ... European Journal of Applied Mathematics 32 (5), 888-936, 2021	19	2021
Faster PET reconstruction with non-smooth priors by randomization and preconditioning MJ Ehrhardt, PJ Markiewicz, CB Schönlieb Physics in Medicine & Biology, 2019	19	2019
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	18	2019
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	18	2019
Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method MJ Ehrhardt, P Markiewicz, A Chambolle, P Richtárik, J Schott, ... Wavelets and Sparsity XVII 10394, 103941O, 2017	15	2017
A geometric integration approach to nonsmooth, nonconvex optimisation ES Riis, MJ Ehrhardt, GRW Quispel, CB Schönlieb Foundations of Computational Mathematics, 1-44, 2021	11	2021
A geometric integration approach to smooth optimisation: Foundations of the discrete gradient method MJ Ehrhardt, ES Riis, T Ringholm, CB Schönlieb arXiv preprint arXiv:1805.06444, 2018	11	2018
Joint Reconstruction for Multi-Modality Imaging with Common Structure MJ Ehrhardt UCL (University College London), 2015	10	2015

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