Matthias J. Ehrhardt
Journal Publications (Peer Reviewed)
2017 P. J. Markiewicz, M. J. Ehrhardt, K. Erlandsson, P. J. Noonan, A. Barnes, J. M Schott, D. Atkinson, S. R. Arridge, B. F. Hutton and S. Ourselin, NiftyPET: A high-throughput software platform for high quantitative accuracy and precision PET imaging and analysis, accepted for publication in Neuroinformatics [software]
2016 M. J. Ehrhardt and M. M. Betcke, Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation, SIAM Journal on Imaging Sciences 9(3), pp. 1084–1106 [pdf (6 MB)] [print version] [arXiv] [poster (2 MB)] [software] [bibTeX]
M. J. Ehrhardt, P. J. Markiewicz, M. Liljeroth, A. Barnes, V. Kolehmainen, J. S. Duncan, L. Pizarro, D. Atkinson, S. Ourselin, B. F. Hutton, K. Thielemans and S. R. Arridge, PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets, IEEE Transaction on Medical Imaging, 35(9), pp. 2189–2199 [print version] [bibTeX]
2015 M. J. Ehrhardt, K. Thielemans, L. Pizarro, D. Atkinson, S. Ourselin, B. F. Hutton and S. R. Arridge, Joint reconstruction of PET-MRI by exploiting structural similarity, Inverse Problems 31(1), 015001 (selected as Highlight of 2015) [print version] [software] [bibTeX]
2014 M. J. Ehrhardt and S. R. Arridge, Vector-Valued Image Processing by Parallel Level Sets, IEEE Transactions on Image Processing 23(1), pp. 9-18 [print version] [preprint (11MB)] [software] [bibTeX]
2012 M. J. Ehrhardt, H. Villinger and S. Schiffler, Evaluation of Decomposition Tools for Sea Floor Pressure Data: A Practical Comparison of Modern and Classical Approaches, Computers & Geosciences 45, pp. 4-12 [print version] [bibTeX] [arXiv]
Preprints
2017 * L. Bungert, D. A. Coomes, M. J. Ehrhardt, J. Rasch, R. Reisenhofer and C.-B. Schönlieb, Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation, [arXiv] [bibTeX]
* A. Chambolle, M. J. Ehrhardt, P. Richtárik and C.-B. Schönlieb, Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications, [pdf (6 MB)] [arXiv] [bibTeX] [poster (2 MB)]
* alphabetical order
Conference Proceedings (Peer Reviewed)
2016 P. Markiewicz, M. J. Ehrhardt, N. Burgos, D. Atkinson, S. R. Arridge, B. F. Hutton and S. Ourselin, Unified acquisition modelling across PET imaging systems: unified scatter modelling, IEEE Nuclear Science Symposium & Medical Imaging Conference [UCL discovery]
2015 Y.-J. Tsai, A. Bousse, M. J. Ehrhardt, B. F. Hutton, S. R. Arridge and K. Thielemans, Performance Evaluation of MAP Algorithms with Different Penalties, Object Geometries and Noise Levels, IEEE Nuclear Science Symposium & Medical Imaging Conference [print version]
2014 P. Markiewicz, K. Thielemans, M. J. Ehrhardt, J. Jiao, N. Burgos, D. Atkinson, S. R. Arridge, B. F. Hutton and S. Ourselin, High Throughput CUDA Implementation of Accurate Geometric Modelling for Iterative Reconstruction of PET Data , IEEE Nuclear Science Symposium & Medical Imaging Conference [print version]
M. J. Ehrhardt, K. Thielemans, L. Pizarro, P. Markiewicz, D. Atkinson, S. Ourselin, B. F. Hutton and S. R. Arridge, Joint Reconstruction of PET-MRI by Parallel Level Sets , IEEE Nuclear Science Symposium & Medical Imaging Conference (best student paper finalist) [print version]
Other Publications
2017 M. J. Ehrhardt, P. Markiewicz, A. Chambolle, P. Richtárik, J. Schott, C.-B. Schönlieb, Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method, Proceedings of SPIE [SPIE library] [preprint (2 MB)] [poster (2 MB)]
2016 * M. Benning, M. M. Betcke, M. J. Ehrhardt and C.-B. Schönlieb, Gradient descent in a generalised Bregman distance framework, MI Lecture Notes series of Kyushu University, Vol. 74 [print version] [arXiv] [code]
2015 M. J. Ehrhardt, Joint Reconstruction for Multi-Modality Imaging with Common Structure, Ph.D. Thesis, University College London, UK [pdf@UCL]
2011 M. J. Ehrhardt, Sparsity in Geosciences: Sparse Decomposition for Analysis of Sea Floor Pressure Data, Diploma Thesis, University of Bremen, Germany [pdf (5 MB)]
* alphabetical order
Upcoming Conferences and Workshops
2018SIAM Conference on Imaging Science, Bologna, Italy.
Conferences
2017IMA Conference on Inverse Problems from Theory to Application, Cambridge, UK.
Presentation: Stochastic Primal-Dual Hybrid Gradient Method
27th Biennial NA Conference in Strathclyde, Glasgow, UK.
Invited Presentation: Accelerated Stochastic PDHG by Non-Uniform Sampling
SPIE Optics+Photonics: Wavelets and Sparsity XVII, San Diego, USA.
Invited Presentation: Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method [preprint] [pdf] [video]
Applied Inverse Problems, Hangzhou, China.
Invited Presentation: Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method
Presentation: Accelerated Stochastic PDHG by Non-Uniform Sampling
British Applied Mathematics Colloquium, Guildford, UK.
Presentation: Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method
100 Years of the Radon Transform, Linz, Austria.
Presentation: Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method
Invited Presentation: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation
2016SIAM Conference on Imaging Science, Albuquerque, USA.
Invited Presentation: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation [video]
2015Applied Inverse Problems Conference, Helsinki, Finland.
Presentation: Joint Reconstruction of PET-MRI by Exploiting Structural Similarity
The 4th Joint British Mathematical Colloquium and British Applied Mathematics Colloquium, University of Cambridge, UK.
Invited Presentation: Joint Reconstruction of Simultaneously Acquired PET-MRI by Structural Similarity
2014 IEEE Nuclear Science Symposium & Medical Imaging Conference, Seattle, USA.
Presentation: Joint Reconstruction of PET-MRI by Parallel Level Sets (best student paper finalist)
Inverse Problems: Modelling and Simulation, Fethiye, Turkey.
Presentation: Joint Reconstruction of PET-MRI by Parallel Level Sets [abstract (<1MB)]
SIAM Conference on Imaging Science, Hong Kong Baptist University, Hong Kong.
Presentation: Parallel Level Set Prior for Joint PET/MRI Reconstruction
2013Inverse Days, Inari, Finland.
Presentation: Multi-Modality Image Reconstruction with Parallel Level Sets
Applied Inverse Problem Conference, KAIST, Daejeon, South Korea.
Poster: Joint Reconstruction with Parallel Level Sets [poster (2MB)]
Workshops
2017Generative models, parameter learning and sparsity, Cambridge, UK.
Poster: Stochastic Primal-Dual Hybrid Gradient Algorithm [poster (2 MB)]
Developments in Healthcare Imaging - Connecting with Industry, Cambridge, UK.
Poster: Stochastic Primal-Dual Hybrid Gradient Algorithm [poster (2 MB)]
5th Heidelberg Laureate Forum, Heidelberg, Germany.
Presentation: Stable Architectures for Deep Neural Networks
Variational Methods, New Optimisation Techniques and New Fast Numerical Algorithm, Cambridge, UK.
Poster: Stochastic Primal-Dual Hybrid Gradient Algorithm [poster (2 MB)]
Computational Challenges in Image Processing, Cambridge, UK.
Mini Workshop on Bayesian Inverse Problems and Imaging, Jiao Tong University, Shanghai, China.
Presentation: Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method
Mathematical imaging with partially unknown models, Cambridge, UK.
Presentation: Discrete Gradients for Non-Smooth Bi-Level Learning
2016LMS Inverse Day: Big Inverse Problems, Nottingham, UK.
Poster: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation [poster (2 MB)]
High-dimensional Statistics, Inverse Problems and Convex Analysis, London, UK.
Poster: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation [poster (2 MB)]
Big Data, Multimodality & Dynamic Models in Biomedical Imaging, Cambridge, UK.
Invited Presentation: Combined Image Reconstruction for Combined PET-MR Imaging [video]
EPSRC Centre for Mathematical & Statistical Analysis of Multimodal Clinical Imaging Launch Event, Cambridge, UK.
Poster: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation [poster (2 MB)]
University of Cambridge Mathematics and Big Data Showcase, Cambridge, UK.
Poster: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation [poster (2 MB)]
Cantab Capital Institute for the Mathematics of Information - Launch Event, Cambridge, UK.
Poster: Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation [poster (2 MB)]
UCL PET/MR Symposium, London, UK.
Invited Presentation: Combined Image Reconstruction for Combined PET-MR Imaging
2016 Geometric Numerical Integration and its Applications, Melbourne, Australia.
2015 Data Processing Challenges in PET-MR, London, UK.
Invited Presentation: Joint Reconstruction of Simultaneously Acquired PET-MRI by Exploiting Structural Similarity
2014Imaging with Modulated/Incomplete Data, Graz, Austria.
Presentation: Correct A Priori Information Modelling for Sparse MRI Reconstruction [abstract (<1MB)]
STIR User Meeting at IEEE NSS/MIC, Seattle, USA.
Invited Presentation: STIR in MATLAB: More tools for Emission Tomography
INV Follow-up Meeting, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK.
LMS Inverse Day: Sparse Regularisation for Inverse Problems, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK.
Poster: Joint Reconstruction of PET/MRI by Parallel Level Sets (best poster award) [poster (1MB)]
2013Image Reconstruction in Emission Tomography and Hybrid Imaging, University College London, UK.
Presentation: Joint Reconstruction - Exploiting Similar Structures in Multi-Modal Imaging.
UCL Centre for Inverse Problems: Opening Meeting, University College London, UK.
MIRAN Baysian Inverse Problem Workshop, University of Manchester, UK.
2012 Workshop on Sparsity, Localization and Dictionary Learning, Queen Mary College, London, UK.
2011Summer School on Applied Analysis, Chemnitz University of Technology, Germany.
Macha11: A Computational Approach to Harmonic Analysis, Philipps-University, Marburg, Germany.
2010CSSIP10: Compressed Sensing, Sparsity and Inverse Problems, TU Braunschweig, Germany.
Research Seminars
2017 Mathemematics and Applications Seminar, University of Sussex, UK.
Invited Presentation: Stochastic Optimization for Non-Smooth Imaging Applications
2016 Numerical Analysis Seminar, KTH Stockholm, Sweden.
Invited Presentation: Combined Image Reconstruction for Combined Medical Imaging
Edinburgh Research Group in Optimization, Edinburgh, UK.
Invited Presentation: Optimization based Image Reconstruction in Medical Imaging: Models and Challenges
2014 UCL Centre for Medical Image Computing Seminar, London, UK.
Invited Presentation: Joint Reconstruction of PET-MRI by Exploiting Structural Similarity
Oberseminar Angewandte Mathematik / Seminar AG Imaging, Westfaelische Wilhelms-Universitaet Muenster, Germany.
Invited Presentation: Joint Reconstruction of PET-MRI by Exploiting Structural Similarity [abstract]
UCL Institute for Nuclear Medicine Seminar, London, UK.
Invited Presentation: Joint reconstruction of PET-MRI by Parallel Level Sets


© 2014-2017 Matthias J. Ehrhardt - m.j.ehrhardt@damtp.cam.ac.uk - last updated: 22/11/2017