Min Zhu

Summary

Affiliation: University of Oklahoma
Country: USA

Publications

  1. doi request reprint Evaluations of sparse source imaging and minimum norm estimate methods in both simulation and clinical MEG data
    Min Zhu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:6744-7. 2012
  2. doi request reprint Sparse MEG source imaging in Landau-Kleffner syndrome
    Min Zhu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4909-12. 2011
  3. doi request reprint Sparse imaging of cortical electrical current densities via wavelet transforms
    Ke Liao
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
    Phys Med Biol 57:6881-901. 2012
  4. doi request reprint Sparse MEG Source Imaging For Reconstructing Dynamic Sources of Interictal Spikes in Partial Epilepsy
    Min Zhu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma, U S A Minnesota Epilepsy Group, PA, United Hospital, St Paul, Minnesota, U S A Department of Neurology, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, U S A and Center for Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, U S A
    J Clin Neurophysiol 30:313-28. 2013
  5. doi request reprint Variation-based sparse cortical current density imaging in estimating cortical sources with MEG data
    Lei Ding
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:5145-8. 2010
  6. doi request reprint A new wavelet transform to sparsely represent cortical current densities for EEG/MEG inverse problems
    Ke Liao
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
    Comput Methods Programs Biomed 111:376-88. 2013

Collaborators

Detail Information

Publications6

  1. doi request reprint Evaluations of sparse source imaging and minimum norm estimate methods in both simulation and clinical MEG data
    Min Zhu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:6744-7. 2012
    ....
  2. doi request reprint Sparse MEG source imaging in Landau-Kleffner syndrome
    Min Zhu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4909-12. 2011
    ..It can further be applied to non-invasively localize and/or lateralize eloquent cortex for language for epilepsy patients in general in the future...
  3. doi request reprint Sparse imaging of cortical electrical current densities via wavelet transforms
    Ke Liao
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
    Phys Med Biol 57:6881-901. 2012
    ..This study suggests that the L1-norm regularization method with the use of face-based wavelets is a promising tool for studying functional activations of the human brain...
  4. doi request reprint Sparse MEG Source Imaging For Reconstructing Dynamic Sources of Interictal Spikes in Partial Epilepsy
    Min Zhu
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma, U S A Minnesota Epilepsy Group, PA, United Hospital, St Paul, Minnesota, U S A Department of Neurology, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, U S A and Center for Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, U S A
    J Clin Neurophysiol 30:313-28. 2013
    ....
  5. doi request reprint Variation-based sparse cortical current density imaging in estimating cortical sources with MEG data
    Lei Ding
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:5145-8. 2010
    ..This data indicate its promising applications in clinical problems related to neurological disorders...
  6. doi request reprint A new wavelet transform to sparsely represent cortical current densities for EEG/MEG inverse problems
    Ke Liao
    School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
    Comput Methods Programs Biomed 111:376-88. 2013
    ..Thus, this new transform on complicated cortical structure is promising to significantly advance EEG/MEG inverse source imaging technologies. ..