Hualou Liang
Hualou Liang
Professor of Biomedical Engineering, Drexel University
Verified email at - Homepage
TitleCited byYear
Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability …
M Ding, SL Bressler, W Yang, H Liang
Biological cybernetics 83 (1), 35-45, 2000
A backward progression of attentional effects in the ventral stream
EA Buffalo, P Fries, R Landman, H Liang, R Desimone
Proceedings of the National Academy of Sciences 107 (1), 361-365, 2010
Application of the empirical mode decomposition to the analysis of esophageal manometric data in gastroesophageal reflux disease
H Liang, QH Lin, JDZ Chen
IEEE Transactions on biomedical engineering 52 (10), 1692-1701, 2005
BSMART: a Matlab/C toolbox for analysis of multichannel neural time series
J Cui, L Xu, SL Bressler, M Ding, H Liang
Neural Networks 21 (8), 1094-1104, 2008
Variable selection for partially linear models with measurement errors
H Liang, R Li
Journal of the American Statistical Association 104 (485), 234-248, 2009
Artifact reduction in electrogastrogram based on empirical mode decomposition method
H Liang, Z Lin, RW McCallum
Medical and Biological Engineering and Computing 38 (1), 35-41, 2000
Prediction of postoperative lung function in patients with lung cancer: comparison of quantitative CT with perfusion scintigraphy
MT Wu, HB Pan, AA Chiang, HK Hsu, HC Chang, NJ Peng, PH Lai, ...
American Journal of Roentgenology 178 (3), 667-672, 2002
Synchronized activity in prefrontal cortex during anticipation of visuomotor processing
H Liang, SL Bressler, M Ding, WA Truccolo, R Nakamura
Neuroreport 13 (16), 2011-2015, 2002
Estimation in partially linear models with missing covariates
H Liang, S Wang, JM Robins, RJ Carroll
Journal of the American Statistical Association 99 (466), 357-367, 2004
Empirical mode decomposition: a method for analyzing neural data
H Liang, SL Bressler, R Desimone, P Fries
Neurocomputing 65, 801-807, 2005
Partially linear models with missing response variables and error-prone covariates
H Liang, S Wang, RJ Carroll
Biometrika 94 (1), 185-198, 2007
Causal influence: advances in neurosignal analysis
M Kamińskiš, H Liang
Critical Reviews™ in Biomedical Engineering 33 (4), 347-430, 2005
Incremental integration of global contours through interplay between visual cortical areas
M Chen, Y Yan, X Gong, CD Gilbert, H Liang, W Li
Neuron 82 (3), 682-694, 2014
Semiblind spatial ICA of fMRI using spatial constraints
QH Lin, J Liu, YR Zheng, H Liang, VD Calhoun
Human brain mapping 31 (7), 1076-1088, 2010
Causal influences in primate cerebral cortex during visual pattern discrimination
H Liang, M Ding, R Nakamura, SL Bressler
Neuroreport 11 (13), 2875-2880, 2000
A fast algorithm for one-unit ICA-R
QH Lin, YR Zheng, FL Yin, H Liang, VD Calhoun
Information Sciences 177 (5), 1265-1275, 2007
Design of supervised classifiers using Boolean neural networks
S Gazula, MR Kabuka
IEEE transactions on pattern analysis and machine intelligence 17 (12), 1239 …, 1995
Combined with artificial neural networks and genetic algorithms: Progress and Prospects
H Liang, G Dai
Acta Electronica Sinica 23, 194-200, 1995
Empirical mode decomposition of field potentials from macaque V4 in visual spatial attention
H Liang, SL Bressler, EA Buffalo, R Desimone, P Fries
Biological cybernetics 92 (6), 380-392, 2005
Single-trial evoked potential estimation using wavelets
Z Wang, A Maier, DA Leopold, NK Logothetis, H Liang
Computers in Biology and Medicine 37 (4), 463-473, 2007
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