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[49]Jie Si.Age estimation based on canonical correlation analysis and extreme learning machineLect. Notes Comput. Sci.,2015,v 9428,p677-685
[50]赵凤军.Vessel extraction by graph cut method based on centerline estimationACM Int. Conf. Proc. Ser.,2016,2016/234-237
[51]贺小伟.Bioluminescence tomography with structural and sparse a priori informationProc. - Int. Conf. Biomed. Eng. Informatics, BMEI,2011,v 1,p170-174
[52]贺小伟.Quantitative bioluminescence tomography from single view measurement with decay correction strategyInt. Conf. Biomed. Eng. Informatics, BMEI,2012,p84-88
[53]王宾.Efficient image reconstruction for fluorescence molecular tomography via linear regression approximation scheme with dual augmented Lagrangian methodMultimedia Systems,2017,P1-11
[54]冯筠.Hierarchical semisupervised transfer AdaBoostIEEE Jt. Int. Inf. Technol. Artif. Intell. Conf., ITAIC,2015,p532-535
[55]冯筠.No-reference image quality assessment based on re-blur theoryYi Qi Yi Biao Xue Bao,2016,v 37,n 7,p1647-1655
[56]李康.Hierarchical correspondence of 3D faces based on thin plate spline deformation (HCTD)Adv. Mater. Res.,2012,v 479-481,p2235-2241
[57]易黄建.Fast reconstruction in fluorescence molecular tomography based on locality preserving projectionsGuangxue Xuebao,2016,v 36,n 7,
[58]侯榆青.X-ray luminescence computed tomography based on improved spectral projected gradient algorithmGuangxue Jingmi Gongcheng,2017,v 25,n 1,p42-49
[59]易黄建.A permissible region extraction based on a knowledge priori for X-ray luminescence computed tomographyMultimedia System,2017,2017/1-8
[60]赵凤军.Segmentation of blood vessels using rule-based and machine learning based methods: a reviewMultimedia Systems,2017,2017/1-10
total68 5/6
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