Level set based shape prior segmentation T Chan, W Zhu 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 371 | 2005 |

Image denoising using mean curvature of image surface W Zhu, T Chan SIAM Journal on Imaging Sciences 5 (1), 1-32, 2012 | 144 | 2012 |

Augmented Lagrangian method for a mean curvature based image denoising model W Zhu, XC Tai, T Chan Inverse Probl. Imaging 7 (4), 1409-1432, 2013 | 75 | 2013 |

Segmentation with depth: A level set approach W Zhu, T Chan, S Esedo g¯ lu SIAM journal on scientific computing 28 (5), 1957-1973, 2006 | 47 | 2006 |

Image segmentation using Euler¢s elastica as the regularization W Zhu, XC Tai, T Chan Journal of scientific computing 57 (2), 414-438, 2013 | 46 | 2013 |

A variational model for capturing illusory contours using curvature W Zhu, T Chan Journal of Mathematical Imaging and Vision 27 (1), 29, 2007 | 43 | 2007 |

Modeling and simulation of liquid-crystal elastomers W Zhu, M Shelley, P Palffy-Muhoray Physical Review E 83 (5), 051703, 2011 | 37 | 2011 |

Augmented Lagrangian method for an Euler's elastica based segmentation model that promotes convex contours E Bae, XC Tai, Z Wei | 23 | 2017 |

Correlation between spatial frequency and orientation selectivity in V1 cortex: implications of a network model W Zhu, D Xing, M Shelley, R Shapley Vision research 50 (22), 2261-2273, 2010 | 22 | 2010 |

Illusory shapes via corner fusion SH Kang, W Zhu, J Jianhong SIAM Journal on Imaging Sciences 7 (4), 1907-1936, 2014 | 18 | 2014 |

A neuronal network model of primary visual cortex explains spatial frequency selectivity W Zhu, M Shelley, R Shapley Journal of computational neuroscience 26 (2), 271-287, 2009 | 18 | 2009 |

A geodesic-active-contour-based variational model for short-axis cardiac MR image segmentation W Zhu, S Ha Kang, G Biros International Journal of Computer Mathematics 90 (1), 124-139, 2013 | 14 | 2013 |

Illusory contours using shape information W Zhu, T Chan | 14 | 2003 |

Capture illusory contours: A level set based approach W Zhu, T Chan UCLA CAM Report, 03-65, 2003 | 13 | 2003 |

A fast algorithm for a mean curvature based image denoising model using augmented lagrangian method W Zhu, XC Tai, T Chan Efficient Algorithms for Global Optimization Methods in Computer Vision, 104-118, 2014 | 6 | 2014 |

A numerical study of a mean curvature denoising model using a novel augmented Lagrangian method W Zhu Inverse Problems & Imaging 11 (6), 975, 2017 | 4 | 2017 |

A fast modified Newton's method for curvature based denoising of 1D signals AM Yip, W Zhu Inverse Probl. Imaging 7 (3), 1075-1097, 2013 | 4 | 2013 |

Segmentation by Elastica Energy with L1 and L2 Curvatures: a Performance Comparison X He, W Zhu, XC Tai Numerical mathematics-theory methods and applications 12 (1), 285-311, 2019 | 3 | 2019 |

An efficient tailored finite point method for Rician denoising and deblurring W Yang, Z Huang, W Zhu COMMUNICATIONS IN COMPUTATIONAL PHYSICS 24 (4), 1169-1195, 2018 | 3 | 2018 |

Survey of fast algorithms for Euler's elastica-based image segmentation SH Kang, XC Tai, W Zhu Elsevier, 2019 | 1 | 2019 |