Image compression by linear splines over adaptive triangulations L Demaret, N Dyn, A Iske Signal Processing 86 (7), 1604-1616, 2006 | 187 | 2006 |

A finite difference scheme for a degenerated diffusion equation arising in microbial ecology HJ Eberl, L Demaret Electron. J. Differ. Equ 15, 77-95, 2007 | 98 | 2007 |

Jump-sparse and sparse recovery using Potts functionals M Storath, A Weinmann, L Demaret IEEE Transactions on Signal Processing 62 (14), 3654-3666, 2014 | 97 | 2014 |

Total variation regularization for manifold-valued data A Weinmann, L Demaret, M Storath SIAM Journal on Imaging Sciences 7 (4), 2226-2257, 2014 | 88 | 2014 |

Adaptive thinning for terrain modelling and image compression L Demaret, N Dyn, MS Floater, A Iske Advances in multiresolution for geometric modelling, 319-338, 2005 | 57 | 2005 |

Beyond wavelets: New image representation paradigms H Führ, L Demaret, F Friedrich preprint, 2006 | 55 | 2006 |

Adaptive image approximation by linear splines over locally optimal Delaunay triangulations L Demaret, A Iske IEEE Signal Processing Letters 13 (5), 281-284, 2006 | 52 | 2006 |

Advances in digital image compression by adaptive thinning L Demaret, A Iske Annals of the MCFA 3, 105-109, 2004 | 36 | 2004 |

Efficient moment computation over polygonal domains with an application to rapid wedgelet approximation F Friedrich, L Demaret, H Führ, K Wicker SIAM Journal on Scientific Computing 29 (2), 842-863, 2007 | 32 | 2007 |

Analysis and simulation of a meso-scale model of diffusive resistance of bacterial biofilms to penetration of antibiotics MA Efendiev, L Demaret, R Lasser, HJ Eberl Adv. Math. Sci. Appl 18 (2), 2008 | 30 | 2008 |

The -Potts Functional for Robust Jump-Sparse Reconstruction A Weinmann, M Storath, L Demaret SIAM Journal on Numerical Analysis 53 (1), 644-673, 2015 | 28 | 2015 |

A mixed-culture model of a probiotic biofilm control system HJ Eberl, H Khassehkhan, L Demaret Computational and Mathematical Methods in Medicine 11 (2), 99-118, 2010 | 26 | 2010 |

Multiscale wedgelet denoising algorithms L Demaret, F Friedrich, H Führ, T Szygowski Wavelets XI 5914, 284-295, 2005 | 26 | 2005 |

Scattered data coding in digital image compression L Demaret, A Iske Curve and Surface Fitting: Saint-Malo 2003, 107-117, 2002 | 26 | 2002 |

Mumford–Shah and Potts regularization for manifold-valued data A Weinmann, L Demaret, M Storath Journal of Mathematical Imaging and Vision 55 (3), 428-445, 2016 | 24 | 2016 |

X‐ray computed tomography using curvelet sparse regularization M Wieczorek, J Frikel, J Vogel, E Eggl, F Kopp, PB Noël, F Pfeiffer, ... Medical Physics 42 (4), 1555-1565, 2015 | 16 | 2015 |

On the structure of attractors for a class of degenerate reaction-diffusion systems MA Efendiev, L Demaret to appear, 2008 | 16 | 2008 |

Contextual image compression from adaptive sparse data representations L Demaret, A Iske, W Khachabi SPARS'09-Signal Processing with Adaptive Sparse Structured Representations, 2009 | 15 | 2009 |

A simple bioclogging model that accounts for spatial spreading of bacteria. L Demaret, HJ Eberl, MA Efendiev, P Maloszewski Electronic Journal of Differential Equations (EJDE)[electronic only] 2009, 51-69, 2009 | 14 | 2009 |

Total variation regularization of shape signals M Baust, L Demaret, M Storath, N Navab, A Weinmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 13 | 2015 |