Algorithms for finding global minimizers of image segmentation and denoising models TF Chan, S Esedoglu, M Nikolova SIAM journal on applied mathematics 66 (5), 1632-1648, 2006 | 1314 | 2006 |

Fast global minimization of the active contour/snake model X Bresson, S Esedoḡlu, P Vandergheynst, JP Thiran, S Osher Journal of Mathematical Imaging and vision 28 (2), 151-167, 2007 | 1113 | 2007 |

Aspects of total variation regularized L 1 function approximation TF Chan, S Esedoglu SIAM Journal on Applied Mathematics 65 (5), 1817-1837, 2005 | 903 | 2005 |

Digital inpainting based on the Mumford–Shah–Euler image model S Esedoglu, J Shen European Journal of Applied Mathematics 13 (4), 353-370, 2002 | 551 | 2002 |

Recent developments in total variation image restoration T Chan, S Esedoglu, F Park, A Yip Mathematical Models of Computer Vision 17 (2), 17-31, 2005 | 434 | 2005 |

Inpainting of binary images using the Cahn–Hilliard equation AL Bertozzi, S Esedoglu, A Gillette IEEE Transactions on image processing 16 (1), 285-291, 2006 | 411 | 2006 |

Local histogram based segmentation using the Wasserstein distance K Ni, X Bresson, T Chan, S Esedoglu International journal of computer vision 84 (1), 97-111, 2009 | 290 | 2009 |

Decomposition of images by the anisotropic Rudin‐Osher‐Fatemi model S Esedoḡlu, SJ Osher Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2004 | 265 | 2004 |

Threshold dynamics for the piecewise constant Mumford-Shah functional S Esedoglu, YHR Tsai Journal of Computational Physics 211 (1), 367-384, 2006 | 210 | 2006 |

Total variation image restoration: Overview and recent developments T Chan, S Esedoglu, F Park, A Yip Handbook of mathematical models in computer vision, 17-31, 2006 | 159 | 2006 |

Image decomposition combining staircase reduction and texture extraction TF Chan, S Esedoglu, FE Park Journal of Visual Communication and Image Representation 18 (6), 464-486, 2007 | 151 | 2007 |

Threshold dynamics for networks with arbitrary surface tensions S Esedoglu, F Otto Communications on Pure and Applied Mathematics 68 (5), 808-864, 2015 | 144 | 2015 |

Analysis of a two-scale Cahn–Hilliard model for binary image inpainting A Bertozzi, S Esedo g¯ lu, A Gillette Multiscale Modeling & Simulation 6 (3), 913-936, 2007 | 135 | 2007 |

A fourth order dual method for staircase reduction in texture extraction and image restoration problems TF Chan, S Esedoglu, F Park 2010 IEEE International Conference on Image Processing, 4137-4140, 2010 | 123 | 2010 |

Diffusion generated motion for grain growth in two and three dimensions M Elsey, S Esedog, P Smereka Journal of Computational Physics 228 (21), 8015-8033, 2009 | 113 | 2009 |

Blind deconvolution of bar code signals S Esedoglu Inverse Problems 20 (1), 121, 2003 | 105 | 2003 |

Segmentation with depth but without detecting junctions S Esedoglu, R March Journal of Mathematical Imaging and Vision 18 (1), 7-15, 2003 | 86 | 2003 |

An analysis of the Perona‐Malik scheme S Esedoḡlu Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2001 | 83 | 2001 |

Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion EM Bollt, R Chartrand, S Esedoḡlu, P Schultz, KR Vixie Advances in Computational Mathematics 31 (1), 61-85, 2009 | 81 | 2009 |

Analogue of the total variation denoising model in the context of geometry processing M Elsey, S Esedo g¯ lu Multiscale Modeling & Simulation 7 (4), 1549-1573, 2009 | 72 | 2009 |