Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wenchi Ke"'
Autor:
Fei Fan, Wenchi Ke, Xinhua Dai, Lei Shi, Yuanyuan Liu, Yushan Lin, Ziqi Cheng, Yi Zhang, Hu Chen, Zhenhua Deng
Publikováno v:
International Journal of Legal Medicine. 137:721-731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfaf41c36be8c196fd795da8d12f4b47
https://doi.org/10.1007/s00414-023-02956-9
https://doi.org/10.1007/s00414-023-02956-9
Publikováno v:
IEEE Transactions on Medical Imaging. 40:905-915
Forensic odontology is regarded as an important branch of forensics dealing with human identification based on dental identification. This paper proposes a novel method that uses deep convolution neural networks to assist in human identification by a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0b1bc4ab85a023042817ff4babc7940
https://doi.org/10.1109/tmi.2020.3041452
https://doi.org/10.1109/tmi.2020.3041452
Autor:
Oscar Acosta, Simon Arridge, Anais Barateau, Riccardo Barbano, Julien Bert, Ninon Burgos, Hu Chen, Kevin T. Chen, Xiaoran Chen, Li Cheng, Jae Hyuk Choi, Hilda Chourak, Walter J. Curran, Renaud de Crevoisier, Srijay Deshpande, Blake E. Dewey, Jason Dowling, Ivana Drobnjak, Jan Ehrhardt, Dennis Eschweiler, Alejandro F. Frangi, Mark Graham, Peter Greer, Shuo Han, Yufan He, Juan Eugenio Iglesias, Mark Jenkinson, Bangti Jin, Wenchi Ke, Charles Kervrann, Ender Konukoglu, Violeta Kovacheva, Claes N. Ladefoged, Ina Laube, Yang Lei, Andrea Leo, Bowen Li, Huiqi Li, Tian Liu, Yihao Liu, Matteo Mancini, Fayyaz Minhas, Tereza Nečasová, Dong Nie, Jean-Claude Nunes, Laura O'Connor, Ilkay Oksuz, Anders B. Olin, Jerry L. Prince, Richard L.J. Qiu, Nasir Rajpoot, Parnesh Raniga, Nishant Ravikumar, Samuel W. Remedios, Pekka Ruusuvuori, David Sarrut, Johannes Stegmaier, David Svoboda, Ryutaro Tanno, Sotirios A. Tsaftaris, Vladimír Ulman, Gabriele Valvano, Tonghe Wang, Xuyun Wen, David Wiesner, Matthias Wilms, Yan Xia, Xiaofeng Yang, Greg Zaharchuk, Hui Zhang, Yi Zhang, Can Zhao, He Zhao, Lianrui Zuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44b27cc340c3c75307c529f2c431a63
https://doi.org/10.1016/b978-0-12-824349-7.00006-2
https://doi.org/10.1016/b978-0-12-824349-7.00006-2
Autor:
Fei Fan, Wenchi Ke, Yancun Lai, Zhen-hua Deng, Wenchao Du, Yi Zhang, Peixi Liao, Hu Chen, Qingsong Wu
Publikováno v:
Sensing and Imaging. 22
Human identification by means of dental panoramic X-ray images has been achieved due to end-to-end deep learning using a convolutional neural network. This paper proposes a novel attention-based multi-supervision network (AMNet) for human identificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f14cb657e53e86d372da40c8ba86dc9
https://doi.org/10.1007/s11220-020-00326-y
https://doi.org/10.1007/s11220-020-00326-y
Autor:
Wenchi Ke, Hu Chen, Yi Zhang, Qingsong Wu, Wenchao Du, Peixi Liao, Fei Fan, Yancun Lai, Zhen-hua Deng
Publikováno v:
Sensing and Imaging. 21
In a catastrophe, the conventional biological characteristics of the victims will be destroyed. Forensic odontology is the main method to identify the victims. Estimating the gender of the victims has a significant meaning and can greatly help identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7edd6acefb74e0169dc2ed967dbee8e
https://doi.org/10.1007/s11220-020-00320-4
https://doi.org/10.1007/s11220-020-00320-4
Autor:
Liu Yuanyuan, Tu Lyu, Wenchi Ke, Xuemei Tian, Peixi Liao, Hu Chen, Wei Wu, Fei Fan, Zhen-hua Deng, Xinhua Dai
Publikováno v:
Forensic Science International. 314:110416
Human identification is an important task in mass disaster and criminal investigations. Although several automatic dental identification systems have been proposed, accurate and fast identification from panoramic dental radiographs (PDRs) remains a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bbafb698779d669daeec5c35c1bdd75
https://doi.org/10.1016/j.forsciint.2020.110416
https://doi.org/10.1016/j.forsciint.2020.110416