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[61]侯榆青.X-ray luminescence computed tomography based on improved spectral projected gradient algorithmGuangxue Jingmi Gongcheng,2017,v 25,n 1,p42-49
[62]易黄建.A permissible region extraction based on a knowledge priori for X-ray luminescence computed tomographyMultimedia System,2017,2017/1-8
[63]赵凤军.Segmentation of blood vessels using rule-based and machine learning based methods: a reviewMultimedia Systems,2017,2017/1-10
[64]张英.Fast centerline extraction algorithm for colon detectionJisuanji Fuzhu Sheji Yu Tuxingxue Xuebao,2013,v 25,n 3,p381-389
[65]贺小伟.Fluorescence molecular tomography based on nonconvex sparse regularizationGuangxue Xuebao,2015,v 35,n 7,
[66]贺小伟.Graphics processing units-accelerated solving for simplify spherical harmonic approximation modelHongwai yu Jiguang Gongcheng Infrared Laser Eng.,2016,v 45,n 6,
[67]贺小伟.Iterative reconstruction for bioluminescence tomography based on an adaptive region shrinking strategyIET Conf Publ,2015,v 2015,n CP680,
[68]侯榆青.Bioluminescence tomography reconstruction based on simplified spherical harmonics approximation model and sparse reconstruction by separable approximationGuangxue Xuebao,2014,v 34,n 6,
[69]耿国华.Comparison between pencil-beam and cone-beam in XLCT systemGuangxue Jingmi Gongcheng,2016,v 24,n 5,p986-992
[70]侯榆青.Fluorescence molecular tomography based on the sparse regularization and adaptive finite element methodXi'an Dianzi Keji Daxue Xuebao,2015,v 42,n 2,p174-179
[71]贺小伟.X-ray luminescence computed tomography based on split augmented Lagrangian shrinkage algorithmGuangxue Xuebao,2016,v 36,n 3,
total71 6/6
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