Weiming Zeng, Ph.D., Professor
Principal investigator of the Lab of Digital Imaging and Intelligent Computation, College of Information Engineering,Shanghai Maritime University
His research interests focus on Image Processing and Pattern Recognition, Computational Neuroscience and Functional Connectivity Detection.
Selected research publications(* Corresponding author):
Ren TL, Zeng WM*, Wang NZ, Chen L, Wang CL. A novel approach for fMRI data analysis based on the combination of sparse approximation and affinity propagation clustering, Magnetic Resonance Imaging, 2014.
Wang NZ, Zeng WM*, Chen L. SACICA:A sparse approximation coefficients based ICA model for functional magnetic resonance imaging data analysis, Journal of Neuroscience Methods, 2013.
Yao SN, Zeng WM*,Wang NZ,Chen L. Validating the performance of one-time decomposition for fMRI analysis using ICA with automatic target generation process, Magnetic Resonance Imaging, 2013.
Wang NZ, Zeng WM*, Chen L. A Fast-FENICA method on resting-state fMRI data. Journal of Neuroscience Methods, 2012.
Zeng WM*, Qiu AQ, Chodkowski BA, Pekar JJ. Spatial and temporal reproducibility-based ranking of the independent components of BOLD fMRI data. NeuroImage，2009.