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
Yuri Levin-SchwartzPostdoctoral Researcher, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
hualiang liUniversity of maryalandVerified email at umbc.edu
Yue WangVirginia Polytechnic Institute and State UniversityVerified email at vt.edu
Geng-shen FuAmazonVerified email at umbc.edu
Suchita BhingeUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deVerified email at gipsa-lab.fr
Robyn MillerLos Alamos National LaboratoryVerified email at lanl.gov
Qunfang LongUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Zois BoukouvalasAmerican UniversityVerified email at american.edu
Jingyu LiuAssociate Professor at Computer Science, TReNDS center ,Georgia State UniversityVerified email at gsu.edu
Rogers F SilvaTReNDS Center (Translational Research in Neuroimaging and Data Science); GSU/GATech/EmoryVerified email at gsu.edu
Jason Jianhua XuanBradley Dept. of Electrical and Computer Engineering, Virginia TechVerified email at vt.edu
Curtis MenyukComputer Science and Electrical Engineering Department, University of Maryland Baltimore CountyVerified email at umbc.edu
Sergey PlisTReNDS center: GSU, Emory, and GATechVerified email at gsu.edu
Elena AllenRodin ScientificVerified email at rodinscientific.com
Andrzej CichockiSystems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)Verified email at riken.jp
Jiayu ChenVerified email at gsu.edu

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


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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	3339	2001
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	1402	2014
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	1288	2009
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	1240	2015
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	997	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	862	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	790	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	610	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	452	2011
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	448	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	402	2009
Unmixing fMRI with independent component analysis VD Calhoun, T Adali IEEE Engineering in Medicine and Biology Magazine 25 (2), 79-90, 2006	393	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	369	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	343	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	302	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	289	2006
Approximation by fully complex multilayer perceptrons T Kim, T Adalı Neural computation 15 (7), 1641-1666, 2003	283	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	281	2011
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	270	2003
Diversity in independent component and vector analyses: Identifiability, algorithms, and applications in medical imaging T Adali, M Anderson, GS Fu IEEE Signal Processing Magazine 31 (3), 18-33, 2014	264	2014

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