| Modern regularization methods for inverse problems M Benning, M Burger Acta Numerica 27, 1-111, 2018 | 478 | 2018 |
| Variational depth from focus reconstruction M Moeller, M Benning, C Schönlieb, D Cremers IEEE Transactions on Image Processing 24 (12), 5369-5378, 2015 | 133 | 2015 |
| Higher-order TV methods—enhancement via Bregman iteration M Benning, C Brune, M Burger, J Müller Journal of Scientific Computing 54, 269-310, 2013 | 132 | 2013 |
| 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 | 102 | 2019 |
| Learning the sampling pattern for MRI F Sherry, M Benning, JC De los Reyes, MJ Graves, G Maierhofer, ... IEEE Transactions on Medical Imaging 39 (12), 4310-4321, 2020 | 87 | 2020 |
| Error estimates for general fidelities M Benning, M Burger Electronic Transactions on Numerical Analysis 38 (44-68), 77, 2011 | 73 | 2011 |
| Phase reconstruction from velocity-encoded MRI measurements–a survey of sparsity-promoting variational approaches M Benning, L Gladden, D Holland, CB Schönlieb, T Valkonen Journal of Magnetic Resonance 238, 26-43, 2014 | 71 | 2014 |
| Ground states and singular vectors of convex variational regularization methods M Benning, M Burger Methods and Applications of Analysis 20 (4), 295 - 334, 2013 | 67 | 2013 |
| An adaptive inverse scale space method for compressed sensing M Burger, M Möller, M Benning, S Osher Mathematics of Computation 82 (281), 269-299, 2013 | 64 | 2013 |
| Reduced-dose and high-speed acquisition strategies for multi-dimensional electron microscopy Z Saghi, M Benning, R Leary, M Macias-Montero, A Borras, PA Midgley Advanced Structural and Chemical Imaging 1, 1-10, 2015 | 52 | 2015 |
| Preconditioned ADMM with nonlinear operator constraint M Benning, F Knoll, CB Schönlieb, T Valkonen System Modeling and Optimization: 27th IFIP TC 7 Conference, CSMO 2015 …, 2016 | 44 | 2016 |
| Ultrashort echo time (UTE) imaging using gradient pre-equalization and compressed sensing HT Fabich, M Benning, AJ Sederman, DJ Holland Journal of Magnetic Resonance 245, 116-124, 2014 | 43 | 2014 |
| 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 | 36 | 2021 |
| Directional sinogram inpainting for limited angle tomography R Tovey, M Benning, C Brune, MJ Lagerwerf, SM Collins, RK Leary, ... Inverse problems 35 (2), 024004, 2019 | 36 | 2019 |
| Singular regularization of inverse problems M Benning Münster, May, 2011 | 33 | 2011 |
| Fast imaging of laboratory core floods using 3D compressed sensing RARE MRI NP Ramskill, I Bush, AJ Sederman, MD Mantle, M Benning, BC Anger, ... Journal of Magnetic Resonance 270, 187-197, 2016 | 31 | 2016 |
| 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 | 24 | 2019 |
| Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography SM Collins, KE MacArthur, L Longley, R Tovey, M Benning, CB Schönlieb, ... APL materials 7 (9), 2019 | 23 | 2019 |
| A nonlinear variational method for improved quantification of myocardial blood flow using dynamic H215O PET M Benning, T Kosters, F Wubbeling, K Schafers, M Burger 2008 IEEE Nuclear Science Symposium Conference Record, 4472-4477, 2008 | 23 | 2008 |
| Inverse scale space decomposition MF Schmidt, M Benning, CB Schönlieb Inverse Problems 34 (4), 045008, 2018 | 22 | 2018 |
Carola-Bibiane SchönliebDAMTP, University of Cambridge在 cam.ac.uk 的電子郵件地址已通過驗證
