Tulay Adali

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Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
Godfrey PearlsonVerified email at hhchealth.org
James J. Pekar, Ph.D.Kennedy Krieger Institute & Johns Hopkins UniversityVerified email at kennedykrieger.org
hualiang liUniversity of maryalandVerified email at umbc.edu
Yuri Levin-SchwartzPostdoctoral Researcher, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
Yue WangVirginia Polytechnic Institute and State UniversityVerified email at vt.edu
Geng-shen FuAmazonVerified email at umbc.edu
Robyn MillerTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Verified email at gsu.edu
Suchita BhingeUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Jingyu LiuAssociate Professor at Computer Science, TReNDS center ,Georgia State UniversityVerified email at gsu.edu
Zois BoukouvalasAmerican UniversityVerified email at american.edu
Jason Jianhua XuanBradley Dept. of Electrical and Computer Engineering, Virginia TechVerified email at vt.edu
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deVerified email at gipsa-lab.fr
Curtis MenyukComputer Science and Electrical Engineering Department, University of Maryland Baltimore CountyVerified email at umbc.edu
Qunfang LongUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Elena AllenRodin ScientificVerified email at rodinscientific.com
Sergey PlisTReNDS center: GSU, Emory, and GATechVerified email at gsu.edu
Andrzej CichockiIBS PAN , Skoltech , UMK Torun, Riken AIPVerified email at skoltech.ru
Rogers F SilvaTReNDS Center (Translational Research in Neuroimaging and Data Science); GSU/GATech/EmoryVerified email at gsu.edu
Qingbao YuNIH/NCCIHVerified email at nih.gov

Tulay Adali

Distinguished University Professor, University of Maryland, Baltimore County

Verified email at umbc.edu - Homepage

statistical signal processing machine learning applications in medical image analysis and data fusion


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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	2926	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	1102	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	1089	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	887	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	802	2001
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	744	2015
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	681	2011
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	520	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	397	2011
Unmixing fMRI with independent component analysis VD Calhoun, T Adali IEEE Engineering in Medicine and Biology Magazine 25 (2), 79-90, 2006	359	2006
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	358	2012
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	355	2009
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	339	2001
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	325	2002
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	264	2010
ICA of functional MRI data: an overview VD Calhoun, T Adali, LK Hansen, J Larsen, JJ Pekar Fourth international symposium on independent component analysis and blind …, 2003	259	2003
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	253	2006
Approximation by fully complex multilayer perceptrons T Kim, T Adalı Neural computation 15 (7), 1641-1666, 2003	249	2003
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model J Sui, G Pearlson, A Caprihan, T Adali, KA Kiehl, J Liu, J Yamamoto, ... Neuroimage 57 (3), 839-855, 2011	235	2011
Feature-based fusion of medical imaging data VD Calhoun, T Adali IEEE Transactions on Information Technology in Biomedicine 13 (5), 711-720, 2008	230	2008

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