Matthias Ehrhardt

Search results

• 2025

  A Guide to Stochastic Optimisation for Large-Scale Inverse Problems

  Ehrhardt, M. J., Kereta, Z., Liang, J. & Tang, J., 31 May 2025, In: Inverse Problems. 41, 5, 053001.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Stochastics 100%
  • Learning System 100%
  • Health Care Cost 100%
  • Computational Cost 33%
  • Optimisation Problem 33%
  86 Downloads (Pure)

• Bilevel Learning with Inexact Stochastic Gradients

  Salehi, M. S., Mukherjee, S., Roberts, L. & Ehrhardt, M. J., 17 May 2025, Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Proceedings. Bubba, T. A., Gaburro, R., Gazzola, S., Papafitsoros, K., Pereyra, M. & Schönlieb, C.-B. (eds.). Cham, Switzerland: Springer, p. 347-359 13 p. (Lecture Notes in Computer Science; vol. 15667 LNCS).

  Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

  • Stochastics 100%
  • Hyperparameter Optimization 100%
  • Variance 16%
  • Fixed Number 16%
  • Sampling Data 16%

• Fast PET Reconstruction with Variance Reduction and Prior-Aware Preconditioning

  Ehrhardt, M. J., Kereta, Z. & Schramm, G., 5 Jun 2025, arXiv.

  Research output: Working paper / Preprint › Preprint

  File
  4 Downloads (Pure)

• Randomized Primal-Dual Algorithm with Arbitrary Sampling: Convergence Theory and Applications to Parallel MRI

  Gutierrez Castillo, E., Delplancke, C. & Ehrhardt, M., 17 Apr 2025, In: Journal of Mathematical Imaging and Vision . 67, 3, 25.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Stochastics 100%
  • Magnetic Resonance Imaging 100%
  • Almost Sure Convergence 40%
  • Wide Range 20%
  • Convergence Result 20%

• Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising

  Tang, J., Ehrhardt, M. J. & Schönlieb, C. B., 17 May 2025, Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Proceedings. Bubba, T. A., Gaburro, R., Gazzola, S., Papafitsoros, K., Pereyra, M. & Schönlieb, C.-B. (eds.). Cham, Switzerland: Springer, p. 30-41 12 p. (Lecture Notes in Computer Science; vol. 15668 LNCS).

  Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

  Open Access

  • Regularization 100%
  • de-noising 100%
  • Primal-Dual 100%
  • Stochastics 100%
  • Operator Splitting 100%
• 2024

  Accelerated Convergent Motion Compensated Image Reconstruction

  Delplancke, C., Thielemans, K. & Ehrhardt, M. J., 14 Oct 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  File

  • Image Reconstruction 100%
  • Computational Cost 100%
  • Convergent 100%
  • Measured Data 50%
  • Motion Artifact 50%
  22 Downloads (Pure)

• An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning

  Salehi, M. S., Mukherjee, S., Roberts, L. & Ehrhardt, M. J., 16 Nov 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  Open Access

  File

  • Regularization 100%
  • Step Size 100%
  • Bilevel Optimisation 100%
  • Leaning Parameter 100%
  • Numerical Experiment 50%
  39 Downloads (Pure)

• An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation

  Bogensperger, L., Ehrhardt, M. J., Pock, T., Salehi, M. S. & Wong, H. S., 9 Dec 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  File

  • Loss Function 100%
  • Posteriori Error 100%
  • Linear Operator 50%
  • Error Bound 50%
  • Posteriori 50%
  17 Downloads (Pure)

• Analyzing inexact hypergradients for bilevel learning

  Ehrhardt, M. J. & Roberts, L., 31 Jan 2024, In: IMA Journal of Applied Mathematics. 89, 1, p. 254-278 25 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Posteriori 100%
  • Approximates 50%
  • Error Bound 50%
  • Implicit Function Theorem 50%
  • Automatic Differentiation 50%
  2 Citations (SciVal)

  122 Downloads (Pure)

• A Primal-dual algorithm for image reconstruction with ICNNs

  Wong, H. S., Ehrhardt, M. J. & Mukherjee, S., 16 Oct 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  File
  49 Downloads (Pure)

• Bilevel Learning with Inexact Stochastic Gradients

  Salehi, M. S., Mukherjee, S., Roberts, L. & Ehrhardt, M. J., 16 Dec 2024, (Submitted) arXiv.

  Research output: Working paper / Preprint › Preprint

  • Inverse Problem 100%
  • image denoising 100%
  • Sampling Data 100%
  • Stochastic Optimization 100%
  • Bilevel Optimisation 100%

• Complex extension of optical flow and its practical evaluation for undersampled dynamic MRI

  Ehrhardt, M. J. & Mauritz, M., 17 Dec 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  File

  • Flow Equation 100%
  • Image Quality 100%
  • Magnetic Resonance Imaging 100%
  • Imaging Modality 50%
  • Frame Time 50%
  18 Downloads (Pure)

• Coupling Analysis of the Asymptotic Behaviour of a Primal-Dual Langevin Algorithm

  Burger, M., Ehrhardt, M. J., Kuger, L. & Weigand, L., 28 May 2024, (Submitted) arXiv, 33 p.

  Research output: Working paper / Preprint › Preprint

  File

  • Asymptotic Behavior 100%
  • Marginals 100%
  • Invariant Solution 100%
  • Dual Variable 100%
  • Continuous Time 50%
  22 Downloads (Pure)

• Designing stable neural networks using convex analysis and ODEs

  Sherry, F., Celledoni, E., Ehrhardt, M. J., Murari, D., Owren, B. & Schönlieb, C. B., 31 Jul 2024, In: Physica D: Nonlinear Phenomena. 463, 134159.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Neural Network 100%
  • Residual Neural Network 100%
  • Ordinary Differential Equation 100%
  • Convex Analysis 100%
  • Neural Network Architecture 100%
  1 Citation (SciVal)

• Editorial Forward to the Special Issue on “The Applied Mathematics of Machine Learning”

  Lesnic, D. & Ehrhardt, M. J., 20 May 2024, In: IMA Journal of Applied Mathematics. 89, 1, p. 1 1 p.

  Research output: Contribution to journal › Editorial

  Open Access

• Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces

  Ehrhardt, M. J., Gazzola, S. & Scott, S. J., 11 Dec 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  File

  • Optimisation Problem 100%
  • Linear System 100%
  • Gradient-Based Method 100%
  • Linear Systems 100%
  • Regularization 66%
  16 Downloads (Pure)

• On Optimal Regularization Parameters via Bilevel Learning

  Ehrhardt, M. J., Gazzola, S. & Scott, S. J., 9 Jan 2024, (Acceptance date) Data-driven models in inverse problems. De Gruyter, 40 p. (Radon Series on Computational and Applied Mathematics - RICAM).

  Research output: Chapter or section in a book/report/conference proceeding › Book chapter

  Open Access

  File

  • Regularization 100%
  • Learning System 100%
  • Posedness 16%
  • Dimensional Problem 16%
  • Open Question 16%
  49 Downloads (Pure)

• Practical Acceleration of the Condat-Vũ Algorithm

  Driggs, D., Ehrhardt, M. J., Schönlieb, C. B. & Tang, J., 31 Dec 2024, In: SIAM Journal on Imaging Sciences. 17, 4, p. 2076-2109 34 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Proximal Gradient Descent 100%
  • Gradient Descent 100%
  • Convergence Rate 100%
  • Learning System 100%
  • Approximates 50%
  43 Downloads (Pure)

• Proximal Langevin Sampling with Inexact Proximal Mapping

  Ehrhardt, M. J., Kuger, L. & Schonlieb, C. B., 30 Sept 2024, In: SIAM Journal on Imaging Sciences. 17, 3, p. 1729-1760 32 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Convergence Result 100%
  • Iterative Scheme 100%
  • Discretization 50%
  • Approximates 50%
  • Asymptotics 50%

• Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning

  Riccio, D., Ehrhardt, M. J. & Benning, M., 30 Sept 2025, In: Numerical Algebra, Control and Optimization. 15, 3, p. 506-530 25 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Regularization 100%
  • Equilibrium Model 100%
  • Numerical Example 25%
  • Approximate Solution 25%
  • Fixed Point Iteration 25%
  81 Downloads (Pure)

• Stochastic Multiresolution Image Sketching for Inverse Imaging Problems

  Perelli, A., Schonlieb, C.-B. & Ehrhardt, M. J., 13 Dec 2024, arXiv.

  Research output: Working paper / Preprint › Preprint

  File
  16 Downloads (Pure)

• Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes

  Chambolle, A., Delplancke, C., Ehrhardt, M. J., Schönlieb, C.-B. & Tang, J., 30 Jun 2024, In: Journal of Mathematical Imaging and Vision . 66, 3, p. 294-313 20 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Stochastics 100%
  • Step Size 100%
  • Primal-Dual 100%
  • Scientific Field 20%
  • Numerical Example 20%
  7 Citations (SciVal)

• Uncertainty quantification in computed tomography pulmonary angiography

  Rambojun, A. M., Komber, H., Rossdale, J., Suntharalingam, J., Rodrigues, J. C. L., Ehrhardt, M. J. & Repetti, A., 31 Jan 2024, In: PNAS Nexus. 3, 1, pgad404.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computer Assisted Tomography 100%
  • Pulmonary Angiography 100%
  • Computed Tomography 100%
  • Angiography 100%
  • Image Reconstruction 100%
• 2023

  Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning

  Chen, D., Davies, M., Ehrhardt, M. J., Schonlieb, C. B., Sherry, F. & Tachella, J., 31 Jan 2023, In: IEEE Signal Processing Magazine. 40, 1, p. 134-147 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Image Processing 100%
  • Self-Supervised Learning 100%
  • Network Design 100%
  • Image Classification 100%
  • Unsupervised Learning 100%
  21 Citations (SciVal)

• Multi-Dimensional Characterization of Battery Materials

  Ziesche, R. F., Heenan, T. M. M., Kumari, P., Williams, J., Li, W., Curd, M. E., Burnett, T. L., Robinson, I., Brett, D. J. L., Ehrhardt, M. J., Quinn, P. D., Mehdi, L. B., Withers, P. J., Britton, M. M., Browning, N. D. & Shearing, P. R., 16 Jun 2023, In: Advanced Energy Materials. 13, 23, 20 p., 2300103.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  • Scanning Electron Microscopy 100%
  • Transmission Electron Microscopy 100%
  • Lithium 100%
  • Focused Ion Beam 100%
  • Battery Material 100%
  26 Citations (SciVal)

• Multi-modality imaging with structure-promoting regularizers

  Ehrhardt, M. J., 25 Feb 2023, Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. Chen, K., Schönlieb, C. B., Tai, X. C. & Younes, L. (eds.). Cham, Switzerland: Springer International Publishing, p. 235-272 38 p.

  Research output: Chapter or section in a book/report/conference proceeding › Book chapter

  • Multimodality Imaging 100%
  • Magnetic Resonance Imaging 50%
  • Malignant Neoplasm 50%
  • Early Diagnosis 50%
  • Remote Sensing 50%

• Regularising Inverse Problems with Generative Machine Learning Models

  Duff, M., Campbell, N. & Ehrhardt, M. J., 9 Oct 2023, In: Journal of Mathematical Imaging and Vision .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Numerical Experiment 100%
  • Open Problem 100%
  • Regularization 100%
  • Deep Neural Network 100%
  • Training Dataset 100%
  8 Citations (SciVal)

• VAEs with structured image covariance applied to compressed sensing MRI

  Duff, M. A. G., Simpson, I. J. A., Ehrhardt, M. J. & Campbell, N. D. F., 3 Aug 2023, In: Physics in Medicine and Biology. 68, 16, 165008.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Regularization 100%
  • Compressed Sensing 100%
  • Covariance 100%
  • Noise Level 66%
  • Inverse Problem 66%
  5 Citations (SciVal)
• 2022

  Accelerating Variance-Reduced Stochastic Gradient Methods

  Driggs, D., Ehrhardt, M. J. & Schönlieb, C.-B., 1 Feb 2022, In: Mathematical Programming. 191, 2, p. 671–715 45 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Stochastics 100%
  • Variance 100%
  • Convergence Rate 66%
  • Variance Reduction 66%
  • Numerical Experiment 33%
  9 Citations (SciVal)

  107 Downloads (Pure)

• A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation

  Riis, E. S., Ehrhardt, M. J., Quispel, G. R. W. & Schönlieb, C. B., 31 Oct 2022, In: Foundations of Computational Mathematics. 22, p. 1351–1394

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Geometric Integration 100%
  • Regularization 50%
  • Apply It 50%
  • Test Problem 50%
  • Objective Function 50%
  9 Citations (SciVal)

  115 Downloads (Pure)

• Enhancing the spatial resolution of hyperpolarized carbon-13 MRI of human brain metabolism using structure guidance

  Ehrhardt, M. J., Gallagher, F. A., McLean, M. A. & Schönlieb, C.-B., 31 Mar 2022, In: Magnetic Resonance in Medicine. 87, 3, p. 1301-1312 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Magnetic Resonance Imaging 100%
  • Carbon 13 100%
  • Brain Metabolism 100%
  • Metabolic Pathway 100%
  • Magnetism 50%
  10 Citations (SciVal)

• On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction

  Gutierrez, E. B., Delplancke, C. & Ehrhardt, M. J., 25 Jul 2022.

  Research output: Working paper / Preprint › Preprint

  File

  • Functionals 100%
  • Step Size 100%
  • Concludes 50%
  • Wide Range 50%
  • Stochastics 50%
  41 Downloads (Pure)

• Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning

  Tang, J., Ehrhardt, M. & Schönlieb, C.-B., 2 Aug 2022.

  Research output: Working paper / Preprint › Preprint

  File
  98 Downloads (Pure)
• 2021

  (An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods

  Arridge, S. R., Ehrhardt, M. J. & Thielemans, K., 28 Jun 2021, In: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 379, 2200, p. 20200205

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Image Reconstruction 100%
  • Image Analysis 100%
  15 Citations (SciVal)

  222 Downloads (Pure)

• A temporal multiscale approach for MR Fingerprinting

  Cortinhas, S., Golbabaee, M. & Ehrhardt, M. J., 30 Mar 2021, (arXiv).

  Research output: Working paper / Preprint › Preprint

  Open Access

  File

  • Approximation (Algorithm) 100%
  • Computation Time 100%
  • Clinical Application 100%
  18 Downloads (Pure)

• Choose your Path Wisely: Gradient Descent in a Bregman Distance Framework

  Benning, M., Betcke, M. M., Ehrhardt, M. J. & Schönlieb, C.-B., 22 Jun 2021, In: SIAM Journal on Imaging Sciences.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • Convex Function 100%
  • Magnetic Resonance Imaging 100%
  • Lower Semicontinuous Function 100%
  10 Citations (SciVal)

  75 Downloads (Pure)

• Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI

  Gutiérrez, E. B., Delplancke, C. & Ehrhardt, M. J., 29 Apr 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Germany: Springer Science and Business Media Deutschland GmbH, p. 254-266 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12679 LNCS).

  Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

  Open Access

  File

  • Stochastics 100%
  • Convergence Property 100%
  • Functionals 33%
  • Almost Sure Convergence 33%
  • Magnetic Resonance Imaging 33%
  2 Citations (SciVal)

  79 Downloads (Pure)

• Deep learning as optimal control problems

  Benning, M., Celledoni, E., Ehrhardt, M. J., Owren, B. & Schonlieb, C. B., 31 Dec 2021, In: IFAC-PapersOnLine. 54, 9, p. 620-623 4 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Optimal Control 100%
  • Deep Learning Method 100%
  • Neural Network 100%
  • Operators (Mathematics) 50%
  6 Citations (SciVal)

• Equivariant neural networks for inverse problems

  Celledoni, E., Ehrhardt, M. J., Etmann, C., Owren, B., Schönlieb, C.-B. & Sherry, F., 31 Aug 2021, In: Inverse Problems. 37, 8, 085006.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Equivariant 100%
  • Neural Network 100%
  • Regularization 40%
  • Symmetry Group 40%
  • Convolutional Neural Network 40%
  17 Citations (SciVal)

  74 Downloads (Pure)

• Improving a Stochastic Algorithm for Regularized PET Image Reconstruction

  Delplancke, C., Gurnell, M., Latz, J., Markiewicz, P. J., Schönlieb, C. B. & Ehrhardt, M. J., 12 Aug 2021, 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE, 9508013. (2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020).

  Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

  • Emissions 100%
  • Tomography 100%
  • Positron 100%
  • Image Reconstruction 100%
  • Stochastics 100%
  1 Citation (SciVal)

• Inexact Derivative-Free Optimization for Bilevel Learning

  Ehrhardt, M. J. & Roberts, L., Jun 2021, In: Journal of Mathematical Imaging and Vision . 63, 5, p. 580-600 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Derivative-Free Optimization 100%
  • Regularization 50%
  • de-noising 50%
  • Optimization Problem 50%
  • Optimization Algorithm 50%
  11 Citations (SciVal)

  11 Downloads (Pure)

• Motion estimation and correction for simultaneous PET/MR using SIRF and CIL

  Brown, R., Kolbitsch, C., Delplancke, C., Papoutsellis, E., Mayer, J., Ovtchinnikov, E., Pasca, E., Neji, R., da Costa-Luis, C., Gillman, A. G., Ehrhardt, M. J., McClelland, J. R., Eiben, B. & Thielemans, K., 23 Aug 2021, In: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 379, 2204, 20200208.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Image Reconstruction 100%
  • Motion Estimation 100%
  • Polyethylene Terephthalate 100%
  • Research Tool 50%
  • Atmospheric Aerosol 50%
  9 Citations (SciVal)

  160 Downloads (Pure)

• Structure-preserving deep learning

  Celledoni, E., Ehrhardt, M. J., Etmann, C., McLachlan, R. I., Owren, B., Schonlieb, C. B. & Sherry, F., 31 Oct 2021, In: European Journal of Applied Mathematics. 32, 5, p. 888-936 49 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • Mathematical Problem 50%
  • Deep Neural Network 11%
  26 Citations (SciVal)

  110 Downloads (Pure)

• Synergistic multi-spectral CT reconstruction with directional total variation

  Cueva, E., Meaney, A., Siltanen, S. & Ehrhardt, M. J., 23 Aug 2021, In: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 379, 2204, 20200198.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Directional 100%
  • Total Variation 100%
  • Regularization 66%
  • Energy Engineering 33%
  • Image Reconstruction 33%
  9 Citations (SciVal)

  63 Downloads (Pure)
• 2020

  Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization

  Ehrhardt, M. J. & Roberts, L., 6 Nov 2020, In: 12th OPT Workshop on Optimization for Machine Learning at NeurIPS 2020.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  File

  • Derivative-Free Optimization 100%
  • Leaning Parameter 100%
  • Elastic Net 100%
  • Learning System 100%
  • Machine Learning 100%
  26 Downloads (Pure)

• Erratum: Incorporating structural prior information and sparsity into eit using parallel level sets [1] (Inverse Problems and Imaging, (2019), 10.3934/ipi.2019015)

  Kolehmainen, V., Ehrhardt, M. J. & Arridge, S. R., 1 May 2020, In: Inverse Problems and Imaging. 14, 2, 1 p.

  Research output: Contribution to journal › Comment/debate › peer-review

  Open Access

  • Inverse Problem 100%
  • Sparsity 100%
  • Open Access 66%

• Learning the Sampling Pattern for MRI

  Sherry, F., Benning, M., Reyes, J. C. D. L., Graves, M. J., Maierhofer, G., Williams, G., Schönlieb, C.-B. & Ehrhardt, M. J., 31 Dec 2020, In: IEEE Transactions on Medical Imaging. 39, 12, p. 4310-4321 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Training Data 100%
  • Acquisition Time 100%
  • Magnetic Resonance 100%
  • Supervised Learning 100%
  • Magnetic Resonance Imaging 100%
  46 Citations (SciVal)

  110 Downloads (Pure)

• Robust Image Reconstruction with Misaligned Structural Information

  Bungert, L. & Ehrhardt, M. J., 9 Dec 2020, In: IEEE Access. 8, p. 222944-222955 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Image Reconstruction 100%
  • Hyperspectral Image 100%
  • Polyethylene Terephthalate 100%
  • Mathematical Method 50%
  • State of the Art 50%
  17 Citations (SciVal)

• SIRF: Synergistic Image Reconstruction Framework

  Ovtchinnikov, E., Brown, R., Kolbitsch, C., Pasca, E., da Costa-Luis, C., Gillman, A. G., Thomas, B. A., Efthimiou, N., Mayer, J., Wadhwa, P., Ehrhardt, M. J., Ellis, S., Jørgensen, J. S., Matthews, J., Prieto, C., Reader, A. J., Tsoumpas, C., Turner, M., Atkinson, D. & Thielemans, K., 30 Apr 2020, In: Computer Physics Communications. 249, 1 p., 107087.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Image Reconstruction 100%
  • Positron-Emission Tomography 100%
  • Positron Emission Tomography 78%
  • Python 36%
  • Pythonidae 36%
  39 Citations (SciVal)

  84 Downloads (Pure)
• 2019

  Deep learning as optimal control problems: models and numerical methods

  Benning, M., Celledoni, E., Ehrhardt, M. J., Owren, B. & Schönlieb, C.-B., 1 Dec 2019, In: Journal of Computational Dynamics. 6, 2, p. 171-198 28 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Numerical Methods 100%
  • Optimal Control Problem 100%
  • Optimality 100%
  • Deep Learning Method 100%
  • Discretization 66%
  37 Citations (SciVal)

  121 Downloads (Pure)