| A combined first and second order variational approach for image reconstruction K Papafitsoros, CB Schönlieb Journal of mathematical imaging and vision 48 (2), 308-338, 2014 | 222 | 2014 |
| Learning to diversify deep belief networks for hyperspectral image classification P Zhong, Z Gong, S Li, CB Schönlieb IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3516-3530, 2017 | 164 | 2017 |
| Cahn–Hilliard inpainting and a generalization for grayvalue images M Burger, L He, CB Schönlieb SIAM Journal on Imaging Sciences 2 (4), 1129-1167, 2009 | 160 | 2009 |
| Unconditionally stable schemes for higher order inpainting A Bertozzi, CB Schönlieb Communications in Mathematical Sciences 9 (2), 413-457, 2011 | 110 | 2011 |
| Solving inverse problems using data-driven models S Arridge, P Maass, O Öktem, CB Schönlieb Acta Numerica 28, 1-174, 2019 | 88 | 2019 |
| Stochastic primal-dual hybrid gradient algorithm with arbitrary sampling and imaging applications A Chambolle, MJ Ehrhardt, P Richtárik, CB Schonlieb SIAM Journal on Optimization 28 (4), 2783-2808, 2018 | 81 | 2018 |
| Imaging with Kantorovich--Rubinstein Discrepancy J Lellmann, DA Lorenz, C Schonlieb, T Valkonen SIAM Journal on Imaging Sciences 7 (4), 2833-2859, 2014 | 76 | 2014 |
| Image denoising: learning the noise model via nonsmooth PDE-constrained optimization. JC De los Reyes, CB Schönlieb Inverse Problems & Imaging 7 (4), 2013 | 72 | 2013 |
| Partial differential equation methods for image inpainting CB Schönlieb Cambridge University Press, 2015 | 71 | 2015 |
| Combined first and second order total variation inpainting using split Bregman K Papafitsoros, CB Schoenlieb, B Sengul Image Processing On Line 3, 112-136, 2013 | 71 | 2013 |
| Adversarial regularizers in inverse problems S Lunz, O Öktem, CB Schönlieb Advances in Neural Information Processing Systems, 8507-8516, 2018 | 63 | 2018 |
| A convergent overlapping domain decomposition method for total variation minimization M Fornasier, A Langer, CB Schönlieb Numerische Mathematik 116 (4), 645-685, 2010 | 63 | 2010 |
| Subspace Correction Methods for Total Variation and -Minimization M Fornasier, CB Schönlieb SIAM Journal on Numerical Analysis 47 (5), 3397-3428, 2009 | 63 | 2009 |
| Variational depth from focus reconstruction M Moeller, M Benning, C Schönlieb, D Cremers IEEE Transactions on Image Processing 24 (12), 5369-5378, 2015 | 62 | 2015 |
| Oriented diffusion filtering for enhancing low-quality fingerprint images C Gottschlich, CB Schönlieb IET biometrics 1 (2), 105-113, 2012 | 59 | 2012 |
| Bilevel parameter learning for higher-order total variation regularisation models JC De los Reyes, CB Schönlieb, T Valkonen Journal of Mathematical Imaging and Vision 57 (1), 1-25, 2017 | 58 | 2017 |
| 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 | 55 | 2014 |
| Total variation regularization in measurement and image space for PET reconstruction M Burger, J Müller, E Papoutsellis, CB Schönlieb Inverse Problems 30 (10), 105003, 2014 | 54 | 2014 |
| Regularized regression and density estimation based on optimal transport M Burger, M Franek, CB Schönlieb Applied Mathematics Research eXpress 2012 (2), 209-253, 2012 | 49 | 2012 |
| Bilevel approaches for learning of variational imaging models L Calatroni, C Cao, JC De Los Reyes, CB Schönlieb, T Valkonen Variational Methods: In Imaging and Geometric Control 18 (252), 2, 2017 | 48 | 2017 |
Martin BurgerFriedrich-Alexander Universität Erlangen-Nürnbergכתובת אימייל מאומתת בדומיין fau.de
