Correa

Nicolle Correa

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

email: nicolle1@umbc.edu

Reseach Interests: Statistical signal processing with application to biomedical data analysis and multimodal data integration working with medical imaging data, genomics, and proteomics (fMRI, EEG, structural MRI, simultaneous fMRI/EEG, SNPs, 2D electrophoresis gels).

Publications:

  • N. M. Correa, T. Eichele, T. Adali, Y.-O. Li, and V. D. Calhoun, "Multi-set canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI," NeuroImage, in press.
  • S. Ma, X.-L. Li, N. M. Correa, and T. Adali, "Independent subspace analysis with prior information for fMRI data," ICASSP, 2010.
  • H. Li, P. A. Rodriquez, T. Adali, N. M. Correa, and V. D. Calhoun, "Flexible complex ICA of fMRI data," ICASSP, 2010.
  • P. A. Rodriquez, H. Li, T. Adali, N. M. Correa, and V. D. Calhoun, "Phase correction and denoising for ICA of complex fMRI data," ICASSP, 2010.
  • N. M. Correa, T. Eichele, T. Adali, Y.-O. Li, and V. D. Calhoun, "Fusion of concurrent single trial EEG data and fMRI data using multi-set canonical correlation analysis," ICASSP, 2010.
  • P. A. Rodriquez, N. M. Correa, T. Adali, and V. D. Calhoun, "Quality map thresholding for de-noising of complex-valued fMRI data and its application to ICA of fMRI," Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), 2009.
  • Order selection on complex-valued fMRI data," under review. -->
  • N. Correa, Y.-O. Li, T. Adali, and V. D. Calhoun, "Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis," Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), 2009.
  • N. Correa, Y.-O. Li, T. Adali, and V. D. Calhoun, "Canonical correlation analysis for feature-based fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia ," IEEE Journal of Selected Topics in Signal Processing, Special Issue on: fMRI Analysis for Human Brain Mapping, vol. 2, no. 6, pp. 998-1007, Dec. 2008.
  • N. Correa, Y.-O. Li, T. Adali, and V. D. Calhoun, "Examining associations between fMRI and EEG data using canonical correlation analysis," Proc. IEEE Int. Symp. on Biomedical Imaging (ISBI), 2008.
  • H. Safavi, N. Correa, W. Xiong, A. Roy, T. Adali, V. R. Korostyshevskiy, C. Whisnant, and F. Seillier-Moiseiwitch, "Independent component analysis of 2D electrophoresis gels," Electrophoresis, vol. 29, issue 19, pp. 4017-4026, 2008.
  • N. Correa, T. Adali, and V. D. Calhoun, "Performance of blind source separation algorithms for fMRI analysis using a group ICA method," Magnetic Resonance Imaging, vol. 25, no. 5, pp. 684-694, 2007.
  • Y. Wang, B. Zhang, S. Roys, N. Correa, T. Adali, and R. Gullapalli, "Kinetic parameter estimation of independent components derived from simulated dynamic contrst enhanced breast MRI data," ISMRM, 2007.
  • N. Correa, H. Safavi, W. Xiong, A. Roy, T. Adali, and F. Seillier-Moiseiwitsch, "Independent component analysis of simulated 2D electrophoresis gels," in Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), Maynooth, Ireland, Sep. 2006.
  • N. Correa, Y.-O. Li, T. Adali, and V. Calhoun, "Comparison of blind source separation algorithms for fMRI using a new Matlab toolbox: GIFT," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), Philadelphia, PA, vol. 5, pp. 401-403, March 2005.