Projects per year
Personal profile
Research interests
Inverse Problems
Optimization
Machine Learning
Imaging
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Medical Imaging, Doctor of Philosophy, Joint Reconstruction for Multi-Modality Imaging with Common Structure, University College London
May 2012 → Apr 2015
Industrial Mathematics, Master of Science, Sparsity in Geosciences - Sparse Decomposition for Analysis of Sea Floor Pressure Data, Universität Bremen
Sept 2006 → Jan 2012
Keywords
- Inverse Problems
- Imaging
- Machine Learning
- Optimization
- Medical Imaging
- Applied Mathematics
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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RCF on Axial Spondyloarthritis
Ehrhardt, M. (PI) & Oporto Lisboa, L. (Researcher)
Royal United Hospitals Bath NHS Foundation Trust
1/08/24 → 31/07/25
Project: Central government, health and local authorities
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REMODEL - Research Exchanges in the Mathematics of Deep Learning with Applications (Other JeS Guarantee Calls)
Ehrhardt, M. (PI), Budd, C. (CoI) & Campbell, N. (CoI)
1/05/24 → 30/04/28
Project: EU Commission
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Programme Grant: Mathematics of Deep Learning
Budd, C. (PI) & Ehrhardt, M. (CoI)
Engineering and Physical Sciences Research Council
31/01/22 → 30/01/27
Project: Research council
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CCP PETMR 2.0 Synergistic Reconstruction For Biomedical Imaging
Ehrhardt, M. (PI)
Engineering and Physical Sciences Research Council
1/04/20 → 31/03/26
Project: Research council
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Developing mathematical models to automatically identify artefacts in CT images of patients with Chronic Thromboembolic Pulmonary Hypertension - RUH-RCF Bath+Heriot-Watt
Ehrhardt, M. (PI)
National Institute for Health Research
15/03/21 → 30/04/22
Project: Central government, health and local authorities
Research output
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A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
Ehrhardt, M. J., Kereta, Z., Liang, J. & Tang, J., 15 May 2025, (E-pub ahead of print) In: Inverse Problems. 41, 5, 053001.Research output: Contribution to journal › Article › peer-review
Open Access86 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 -
Accelerated Convergent Motion Compensated Image Reconstruction
Delplancke, C., Thielemans, K. & Ehrhardt, M. J., 14 Oct 2024, arXiv.Research output: Working paper / Preprint › Preprint
File22 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 AccessFile37 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
File15 Downloads (Pure)