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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
