The Comparison of Multi-level Fusion versus One-level Fusion to the Development of Adjacent Level Degeneration in Anterior Cervical Arthrodesis with PEEK Cage and Plate Augmentation for the Degenerative Cervical Spinal Disorders

2009 ◽  
Vol 44 (6) ◽  
pp. 613 ◽  
Author(s):  
Kyung-Jin Song ◽  
Su-Kyung Lee ◽  
Ji-Hun Song ◽  
Byeong-Yeol Choi
2021 ◽  
Vol 94 ◽  
pp. 116196
Author(s):  
Xiang-Bo Lin ◽  
Yi-Dan Zhou ◽  
Kuo Du ◽  
Yi Sun ◽  
Xiao-Hong Ma ◽  
...  

2010 ◽  
Vol 469 (3) ◽  
pp. 674-681 ◽  
Author(s):  
Cesare Faldini ◽  
Stavroula Pagkrati ◽  
Danilo Leonetti ◽  
Maria Teresa Miscione ◽  
Sandro Giannini

2018 ◽  
Vol 90 ◽  
pp. 34-41 ◽  
Author(s):  
Fan Liang ◽  
Pengjiang Qian ◽  
Kuan-Hao Su ◽  
Atallah Baydoun ◽  
Asha Leisser ◽  
...  

Orthopedics ◽  
2002 ◽  
Vol 25 (10) ◽  
pp. 1051-1055
Author(s):  
Steven D Glassman ◽  
Kevin Pugh ◽  
John R Johnson ◽  
John R Dimar

Author(s):  
Kun Zhao ◽  
Lingfei Ma ◽  
Yu Meng ◽  
Li Liu ◽  
Junbo Wang ◽  
...  

2019 ◽  
Vol 355 ◽  
pp. 13-23 ◽  
Author(s):  
Yaoyang Mo ◽  
Guoqiang Han ◽  
Huaidong Zhang ◽  
Xuemiao Xu ◽  
Wei Qu

Author(s):  
Padma Polash Paul ◽  
Marina Gavrilova

Privacy protection in biometric system is a newly emerging biometric technology that can provide the protection against various attacks by intruders. In this paper, the authors have presented a multi-level of random projection method based on face and ear biometric traits. Privacy preserved templates are used in the proposed system. The main idea behind the privacy preserve computation is the random projection algorithm. Multiple random projection matrixes are used to generate multiple templates for biometric authentication. Newly introduced random fusion method is used in the proposed system; therefore, proposed method can provide better template security, privacy and feature quality. Multiple randomly fused templates are used for recognition purpose and finally decision fusion is applied to generate the final classification result. The proposed method works in a similar way human cognition for face recognition works, furthermore it preserve privacy and multimodality of the system.


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