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20122022
most citedConvex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation

7 citations · 18 across the 10 of their papers we have counts for

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5 papers · 1 filter

math.NA2020★ 2 cited

Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms

Shousheng Luo, Xue-Cheng Tai, Yang Wang

We present a novel and effective binary representation for convex shapes. We show the equivalence between the shape convexity and some properties of the associated indicator functi…

math.NA2019

Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data

Shousheng Luo, Ruyue Meng, Suhua Wei +3

In this paper we consider 3D axis-symmetric (AS) object reconstruction from single cone-beam x-ray projection data. Traditional x-ray CT fails to capture fleeting state of material…

math.NA2018★ 6 cited

Convex Shape Priors for Level Set Representation

Shousheng Luo, Xue-cheng Tai

For many applications, we need to use techniques to represent convex shapes and objects. In this work, we use level set method to represent shapes and find a necessary and sufficie…

math.NA2016★ 2 cited

Superiorized iteration based on proximal point method and its application to XCT image reconstruction

Shousheng Luo, Yanchun Zhang, Tie Zhou +1

In this paper, we investigate how to determine a better perturbation for superiorized iteration. We propose to seek the perturbation by proximal point method. In our method, the di…

math.NA2013

Moment-based cosh-Hilbert Inversion and Its Applications in Single-photon Emission Computed Tomography

Shousheng Luo, Jiansheng Yang, Tie Zhou

The inversion of cosh-Hilbert transform (CHT) is one of the most crucial steps for single-photon emission computed tomography with uniform attenuation from truncated projection dat…