SaiMa

Sai Ma

Ph.D., Electrical Engineering
University of Maryland Baltimore County
ITE 370, 1000 Hilltop Circle
Baltimore, Maryland 21250

email: saima1@umbc.edu

Reseach Interests: Statistical signal processing and machine learning with applications to biomedical data analysis: joint blind source separation (ICA, IVA, CCA), functional connectivity analysis, graph theoretical analysis, feature extraction and classification for patients with mental disorders (schizophrenia, bipolar), data fusion for functional MRI, structural MRI and EEG.

Publications:

  • S. Ma, X-L Li, N. M. Correa, T. Adali, and V. D. Calhoun, "Independent subspace analysis with prior information for fMRI data," in Proc. ICASSP'10, Dallas, TX, March, 2010.
  • S. Ma, T. Eichele, N. M. Correa, V. D. Calhoun, and T. Adali, "Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups," in Proc. ISBI'11, Chicago, IL, March, 2011.
  • S. Ma, N. M. Correa, X-L Li, T. Eichele, V. D. Calhoun, and T. Adali, "Automatic identification of functional clusters in fMRI data using spatial information," IEEE Trans. Biomed. Eng., vol. 58, pp. 3406-3417, 2011.
  • X-L Li, S. Ma, V. D. Calhoun, and T. Adali, "Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria," in Proc. ISBI'11, Chicago, IL, March, 2011.
  • S. Ma, V. D. Calhoun, T. Eichele, and T. Adali, "Modulations of functional connectivity in healthy and schizophrenia groups during task and rest," NeuroImage, vol. 62, pp. 1694-1704, 2012.
  • W. Du, H. Li, V. D. Calhoun, S. Ma, T. Eichele, K. A. Kiehl, G. D. Pearlson, and T. Adali, "High classification accuracy for schizophrenia with rest and task fMRI data," Frontiers in Human Neuroscience, vol. 6, 2012.
  • S. Ma, R. Phlypo, V. D. Calhoun, and T. Adali, "Capturing group variability using IVA: A simulation study and graph-theoretical analysis," in Proc. ICASSP'13, Vancouver, Canada, May, 2013.