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IEEE生物信息与生物医学工程国际会议征文 (ICBBE2010)hb

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tatabinbin 该用户已被删除
发表于 2009-8-3 08:22:42 | 显示全部楼层 |阅读模式
The 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010)
CALL FOR PAPERS
http://www.icbbe.org/2010/
Chengdu, China          June 18-20, 2010
==================================================================================
The 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010)
will be held from June 18th to 20th, 2010 in Chengdu, China. iCBBE 2010 will bring together
top researchers from Asian Pacific areas, North America, Europe and around the world to
exchange research results and address open issues in all aspects of bioinformatics and
biomedical engineering. As we did in the past three years, all accepted papers in iCBBE2010
will be included in IEEE Xplore and indexed by Ei Compendex and ISTP.

The technical areas to be covered in this conference include:

Bioinformatics and Computational Biology
Biomedical Engineering

Special Sessions:
The Special Session on Biomedical Imaging
The Special Session on Biomathematics and Biostatistics
The Special Session on Cancer

The deadline of full paper submission is Oct. 30, 2009
Notification of acceptance will be given by Dec. 31, 2009

For more information about this conference, please contact: submit@icbbe.org
已绑定手机
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发表于 2009-8-4 10:33:31 | 显示全部楼层
除了标题,其余都是英文的!!!
发表于 2009-8-15 14:19:17 | 显示全部楼层
今年在成都开啊,里西藏很近了哦
发表于 2009-10-1 18:30:16 | 显示全部楼层
征文内容如下
The topics of this special session are related in the fields as follows:
•Accelerated Life Models
•Analysis of Quality of Life
•Applications of Biomathematics in Biology
•Generalizations of The Cox Regression Model
•Models and Methods in Longevity and Aging
•Models and Methods in Survival Analysis
•Modeling Cell and Molecular Biology
•Models in Biosciences and Medicine
•Modeling Physiological Systems
•New Stochastic Models in Biology
&#8226opulation Dynamics
•Semi-Markov Processes with Applications
•Semi-parametric Inference in Survival Analysis
•Statistical Models and Methods in Biology
•Statistical Models and Methods in Reliability

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