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曾卫明老师介绍
曾卫明，男，博士，教授, 硕士生导师。2005年南京东南大学生物医学工程专业博士毕业; 2006.3~2008.6美国约翰.霍普金斯大学(Johns Hopkins University)博士后;当前主要研究方向涉及功能磁共振成像(functional MRI)的实验设计与获取, 数据处理与分析以及神经影像与认知等;现为国际医学核磁共振学会会员,国际认知神经科学学会会员,国家自然科学基金通讯评审专家,国际重要期刊Magnetic Resonance Imaging, Information Science等专业杂志的审稿人;发表或待发表论文30多篇,其中三大检索近20篇;参加课题包括国家973,美国NIH P41等课题多项;欢迎各位专家学者进行指导、合作与交流!也欢迎外语,数学,计算机等有一定基础感兴趣的学生报考该方向的研究生!
近期科研成果：
代表成果:
Zeng, W., Qiu A., Chodkowski, B., and Pekar, J.J., Meaningful Independent Components of BOLD fMRI Data Resemble Components of Downsampled Data, NeuroImage (in Revision)
Zeng, W., Liang, Z., Wang, Z., Fang, Z., Liang,X., Luo,L., Decimative subspace-based parameter estimation methods of Magnetic Resonance Spectroscopy based on prior knowledge, Magnetic Resonance Imaging , 2008, 26, 401-412.
Zeng,W.,Efficient method for parameter estimation of MRS signal using decimation and prior knowledge, Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering,2007, 31B(4):270-277.
Zeng,W.,Simmonds,D.J., Mostofsky,S. H.,and Pekar,J.J.,Probing Intrinsic Connectivity Networks with Task-Free fMRI: Eyes Open, or Closed? Cognitive Neuroscience Society, San Francisco, United Sates, April, 2008.
Zeng,W., Chodkowski,B.,Pekar, J.J., A Method for Detecting 'Meaningful' Components in Independent Component Analyses of fMRI Data. Ann. Mtg., Int. Soc. Magn. Reson. Med., Berlin, Germany, May, 2007.
Zeng,W., Chodkowski,B., Pekar,J.J.,Detecting 'Meaningful' Components in Independent Component Analyses of fMRI Data. Ann. Mtg., Organization for Human Brain Mapping, Chicago, June, 2007.
曾卫明，梁晓云, 罗立民. 一种基于信号极点先验知识和隔点抽样的磁共振波谱参数估计方法， 计算机学报, 2006.12.
曾卫明, 梁晓云, 罗立民, 方志军， 王正友，伍世虔. 一种基于全局最小乘方法的磁共振波谱目标频率选择的量化方法. 电子学报， 2005.7.
曾卫明, 梁晓云, 罗立民. 一种基于复数主成分分析的磁共振谱量化预处理方法. 电子与信息学报, 2005.1.
参加的主要课题:
国家973项目2003CB716102,医学功能图像伪影消除与高分辨率重建
P41 RR15241-01, NIH/NCRR, Resource for Quantitative Functional MRI
JHU,The fMRI studies on the normal human brain at 1.5 T and 3.0T.
赣教技字[2006]232号 磁共振波谱信号处理方法研究
特邀报告:
Evaluating the Independent Component Analysis of Functional MRI. MRI Group Retreat, Johns Hopkins University, Oct. 11~12, 2007.
近期科研成果：
代表成果:
Zeng, W., Qiu A., Chodkowski, B., and Pekar, J.J., Meaningful Independent Components of BOLD fMRI Data Resemble Components of Downsampled Data, NeuroImage (in Revision)
Zeng, W., Liang, Z., Wang, Z., Fang, Z., Liang,X., Luo,L., Decimative subspace-based parameter estimation methods of Magnetic Resonance Spectroscopy based on prior knowledge, Magnetic Resonance Imaging , 2008, 26, 401-412.
Zeng,W.,Efficient method for parameter estimation of MRS signal using decimation and prior knowledge, Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering,2007, 31B(4):270-277.
Zeng,W.,Simmonds,D.J., Mostofsky,S. H.,and Pekar,J.J.,Probing Intrinsic Connectivity Networks with Task-Free fMRI: Eyes Open, or Closed? Cognitive Neuroscience Society, San Francisco, United Sates, April, 2008.
Zeng,W., Chodkowski,B.,Pekar, J.J., A Method for Detecting 'Meaningful' Components in Independent Component Analyses of fMRI Data. Ann. Mtg., Int. Soc. Magn. Reson. Med., Berlin, Germany, May, 2007.
Zeng,W., Chodkowski,B., Pekar,J.J.,Detecting 'Meaningful' Components in Independent Component Analyses of fMRI Data. Ann. Mtg., Organization for Human Brain Mapping, Chicago, June, 2007.
曾卫明，梁晓云, 罗立民. 一种基于信号极点先验知识和隔点抽样的磁共振波谱参数估计方法， 计算机学报, 2006.12.
曾卫明, 梁晓云, 罗立民, 方志军， 王正友，伍世虔. 一种基于全局最小乘方法的磁共振波谱目标频率选择的量化方法. 电子学报， 2005.7.
曾卫明, 梁晓云, 罗立民. 一种基于复数主成分分析的磁共振谱量化预处理方法. 电子与信息学报, 2005.1.
参加的主要课题:
国家973项目2003CB716102,医学功能图像伪影消除与高分辨率重建
P41 RR15241-01, NIH/NCRR, Resource for Quantitative Functional MRI
JHU,The fMRI studies on the normal human brain at 1.5 T and 3.0T.
赣教技字[2006]232号 磁共振波谱信号处理方法研究
特邀报告:
Evaluating the Independent Component Analysis of Functional MRI. MRI Group Retreat, Johns Hopkins University, Oct. 11~12, 2007.
曾卫明老师相关教学资源
