Wanmei Ou

Summary

Affiliation: Massachusetts Institute of Technology
Country: USA

Publications

  1. ncbi A distributed spatio-temporal EEG/MEG inverse solver
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 44:932-46. 2009
  2. ncbi Study of neurovascular coupling in humans via simultaneous magnetoencephalography and diffuse optical imaging acquisition
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 46:624-32. 2009
  3. ncbi Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 52:97-108. 2010
  4. ncbi A distributed spatio-temporal EEG/MEG inverse solver
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 11:26-34. 2008
  5. ncbi Modeling adaptation effects in fMRI analysis
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 12:1009-17. 2009
  6. ncbi Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:1926-9. 2009
  7. ncbi Combining spatial priors and anatomical information for fMRI detection
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
    Med Image Anal 14:318-31. 2010
  8. ncbi On the construction of invertible filter banks on the 2-sphere
    Boon Thye Thomas Yeo
    Department of Electrical Engineering and Computer Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Image Process 17:283-300. 2008
  9. ncbi From spatial regularization to anatomical priors in fMRI analysis
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
    Inf Process Med Imaging 19:88-100. 2005

Detail Information

Publications9

  1. ncbi A distributed spatio-temporal EEG/MEG inverse solver
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 44:932-46. 2009
    ..Furthermore, the l(1)l(2)-norm solver achieves fewer false positives and a better representation of the source locations than the conventional l(2) minimum-norm estimates...
  2. ncbi Study of neurovascular coupling in humans via simultaneous magnetoencephalography and diffuse optical imaging acquisition
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 46:624-32. 2009
    ..This finding suggests that in addition to the initial evoked-response deflections related to the talamic afferent input, later cortical activity is needed to predict the hemodynamic response...
  3. ncbi Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
    Neuroimage 52:97-108. 2010
    ..Analysis using human E/MEG-fMRI data reveals that FIRE significantly reduces the ambiguities in source localization present in the minimum-norm estimates, and that it accurately captures activation timing in adjacent functional regions...
  4. ncbi A distributed spatio-temporal EEG/MEG inverse solver
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 11:26-34. 2008
    ..Furthermore, the l1l2-norm solver achieves fewer false positives and a better representation of the source locations than the conventional l2 minimum-norm estimates...
  5. ncbi Modeling adaptation effects in fMRI analysis
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Med Image Comput Comput Assist Interv 12:1009-17. 2009
    ....
  6. ncbi Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:1926-9. 2009
    ..Comparisons with several joint fMRI-E/MEG algorithms demonstrate robustness of FIRE in the presence of sources silent to either fMRI or E/MEG measurements...
  7. ncbi Combining spatial priors and anatomical information for fMRI detection
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, United States
    Med Image Anal 14:318-31. 2010
    ..The anatomically guided MRF regularizer enables significant reduction of the scan length while maintaining the quality of the resulting activation maps...
  8. ncbi On the construction of invertible filter banks on the 2-sphere
    Boon Thye Thomas Yeo
    Department of Electrical Engineering and Computer Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    IEEE Trans Image Process 17:283-300. 2008
    ..We conclude by examining the use of a self-invertible spherical steerable pyramid in a denoising experiment and discussing the computational complexity of the filtering framework...
  9. ncbi From spatial regularization to anatomical priors in fMRI analysis
    Wanmei Ou
    Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
    Inf Process Med Imaging 19:88-100. 2005
    ....