Tulay Adali
Tulay Adali
Distinguished University Professor, University of Maryland, Baltimore County
Vahvistettu sähköpostiosoite verkkotunnuksessa umbc.edu - Kotisivu
A method for making group inferences from functional MRI data using independent component analysis
VD Calhoun, T Adali, GD Pearlson, JJ Pekar
Human brain mapping 14 (3), 140-151, 2001
A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
VD Calhoun, J Liu, T Adalı
Neuroimage 45 (1), S163-S172, 2009
The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery
VD Calhoun, R Miller, G Pearlson, T Adalı
Neuron 84 (2), 262-274, 2014
Estimating the number of independent components for functional magnetic resonance imaging data
YO Li, T Adalı, VD Calhoun
Human brain mapping 28 (11), 1251-1266, 2007
Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms
VD Calhoun, T Adali, GD Pearlson, JJ Pekar
Human brain mapping 13 (1), 43-53, 2001
Comparison of multi‐subject ICA methods for analysis of fMRI data
EB Erhardt, S Rachakonda, EJ Bedrick, EA Allen, T Adali, VD Calhoun
Human brain mapping 32 (12), 2075-2095, 2011
Multimodal data fusion: an overview of methods, challenges, and prospects
D Lahat, T Adali, C Jutten
Proceedings of the IEEE 103 (9), 1449-1477, 2015
Multisubject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discovery
VD Calhoun, T Adali
IEEE reviews in biomedical engineering 5, 60-73, 2012
Complex-valued signal processing: The proper way to deal with impropriety
T Adali, PJ Schreier, LL Scharf
IEEE Transactions on Signal Processing 59 (11), 5101-5125, 2011
Unmixing fMRI with independent component analysis
VD Calhoun, T Adali
IEEE Engineering in Medicine and Biology Magazine 25 (2), 79-90, 2006
fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent components analysis
VD Calhoun, T Adali, VB McGinty, JJ Pekar, TD Watson, GD Pearlson
NeuroImage 14 (5), 1080-1088, 2001
Joint blind source separation by multiset canonical correlation analysis
YO Li, T Adali, W Wang, VD Calhoun
IEEE Transactions on Signal Processing 57 (10), 3918-3929, 2009
A review of multivariate methods for multimodal fusion of brain imaging data
J Sui, T Adali, Q Yu, J Chen, VD Calhoun
Journal of neuroscience methods 204 (1), 68-81, 2012
Different activation dynamics in multiple neural systems during simulated driving
VD Calhoun, JJ Pekar, VB McGinty, T Adali, TD Watson, GD Pearlson
Human brain mapping 16 (3), 158-167, 2002
Adaptive signal processing: next generation solutions
T Adali, S Haykin
John Wiley & Sons, 2010
ICA of functional MRI data: an overview
VD Calhoun, T Adali, LK Hansen, J Larsen, JJ Pekar
in Proceedings of the International Workshop on Independent Component …, 2003
Canonical correlation analysis for data fusion and group inferences
NM Correa, T Adali, YO Li, VD Calhoun
IEEE signal processing magazine 27 (4), 39-50, 2010
Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data
VD Calhoun, T Adali, NR Giuliani, JJ Pekar, KA Kiehl, GD Pearlson
Human brain mapping 27 (1), 47-62, 2006
Approximation by fully complex multilayer perceptrons
T Kim, T Adalı
Neural computation 15 (7), 1641-1666, 2003
Feature-based fusion of medical imaging data
VD Calhoun, T Adali
IEEE Transactions on Information Technology in Biomedicine 13 (5), 711-720, 2008
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Artikkelit 1–20