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zhuorui yang
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Zhuorui Tang
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DIORAMA enhances efficiency of a mass casualty incident: System and experimentation.
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2644-2647. doi: 10.1109/EMBC.2016.7591273.
Annu Int Conf IEEE Eng Med Biol Soc. 2016.
PMID: 28268865
Vision-based responders localization techniques in urban search and rescue scenarios.
Zhuorui Yang, Ganz A.
Zhuorui Yang, et al.
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2640-2643. doi: 10.1109/EMBC.2016.7591272.
Annu Int Conf IEEE Eng Med Biol Soc. 2016.
PMID: 28268864
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Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events.
Ganz A, Schafer JM, Yang Z, Yi J, Lord G, Ciottone G.
Ganz A, et al. Among authors: yang z.
Int J Telemed Appl. 2016;2016:9362067. doi: 10.1155/2016/9362067. Epub 2016 Jun 28.
Int J Telemed Appl. 2016.
PMID: 27433161
Free PMC article.
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Mobile DIORAMA-II: infrastructure less information collection system for mass casualty incidents.
Ganz A, Schafer JM, Yang Z, Yi J, Lord G, Ciottone G.
Ganz A, et al. Among authors: yang z.
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2682-5. doi: 10.1109/EMBC.2014.6944175.
Annu Int Conf IEEE Eng Med Biol Soc. 2014.
PMID: 25570543
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