Tülay Adali
Orcid: 0000000305942796Affiliations:
 University of Maryland, USA
According to our database^{1},
Tülay Adali
authored at least 315 papers
between 1990 and 2023.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2009, "For contributions to nonlinear and complexvalued statistical signal processing".
Timeline
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on id.loc.gov
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Bibliography
2023
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors].
IEEE Signal Process. Mag., July, 2023
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors].
IEEE Signal Process. Mag., June, 2023
Sensors, March, 2023
Correction to: MultiSubject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics, January, 2023
MultiSubject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics, January, 2023
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for MultiSubject fMRI Analysis.
Sensors, 2023
Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Capturing Spatial Dynamics Using TimeResolved ReferencedInformed Network Estimation Techniques.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multisubject fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023
Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean InterferencetoSignal Ratio.
Proceedings of the IEEE International Conference on Acoustics, 2023
Coupled CP Tensor Decomposition with Shared and Distinct Components for MultiTask Fmri Data Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Deriving 3D Functional Brain Regions from MultiSlice Functional Ultrasound Data Using ICA and IVA.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
REGRESSIONASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGESCALE FMRI DATA ANALYSIS.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
SIAM J. Math. Data Sci., September, 2022
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness.
IEEE Signal Process. Mag., 2022
IEEE Signal Process. Mag., 2022
Reconstructing SynergyBased Hand Grasp Kinematics from Electroencephalographic Signals.
Sensors, 2022
Sensors, 2022
Sensors, 2022
Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using MultiTask FMRI Data.
Sensors, 2022
Going from lines to triangles: A formulation for timefrequency moments of timeseries with application to study fMRI.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Single Sideband Modulation as a Tool To Improve Functional Connectivity Estimation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Unified Framework for Modularizing and Comparing TimeResolved Functional Connectivity Methods.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
An ICAbased framework for joint analysis of cognitive scores and MEG eventrelated fields.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Datadriven spatiotemporal dynamic brain connectivity analysis using fALFF: Application to sensorimotor task data.
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022
2021
IEEE Trans. Image Process., 2021
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors].
IEEE Signal Process. Mag., 2021
Relationship between Dynamic BloodOxygenLevelDependent Activity and Functional Network Connectivity: Characterization of Schizophrenia Subgroups.
Brain Connect., 2021
Taking the 4D Nature of fMRI Data Into Account Promises Significant Gains in Data Completion.
IEEE Access, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Independent Vector Analysis Using SemiParametric Density Estimation via Multivariate Entropy Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2021
Generalizability of Hand Kinematic Synergies derived using Independent Component Analysis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID19.
Proceedings of the Discovery Science  24th International Conference, 2021
2020
IEEE Trans. Signal Process., 2020
Independent vector analysis for common subspace analysis: Application to multisubject fMRI data yields meaningful subgroups of schizophrenia.
NeuroImage, 2020
Multidimens. Syst. Signal Process., 2020
Dictionary LearningBased fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps.
IEEE J. Sel. Top. Signal Process., 2020
Adaptive Constrained Independent Vector Analysis: An Effective Solution for Analysis of LargeScale Medical Imaging Data.
IEEE J. Sel. Top. Signal Process., 2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid19.
CoRR, 2020
JointIVA for identification of discriminating features in EEG: Application to a driving study.
Biomed. Signal Process. Control., 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
J. Signal Process. Syst., 2019
Extraction of TimeVarying Spatiotemporal Networks Using ParameterTuned Constrained IVA.
IEEE Trans. Medical Imaging, 2019
A new blind source separation framework for signal analysis and artifact rejection in functional NearInfrared Spectroscopy.
NeuroImage, 2019
CICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
2018
Shared and SubjectSpecific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.
IEEE Trans. Biomed. Eng., 2018
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proc. IEEE, 2018
The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails.
Proc. IEEE, 2018
Proc. IEEE, 2018
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis.
J. Frankl. Inst., 2018
Independent Component Analysis Using SemiParametric Density Estimation Via Entropy Maximization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
A twolevel ICA approach reveals important differences in the female brain response to thermal pain.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Erratum: Nonnegative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
J. Signal Process. Syst., 2017
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia.
IEEE Trans. Medical Imaging, 2017
Tensorbased fusion of EEG and FMRI to understand neurological changes in schizophrenia.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Parameterfree automated extraction of neuronal signals from calcium imaging data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Nonorthogonal constrained independent vector analysis: Application to data fusion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Datadriven fusion of multicamera video sequences: Application to abandoned object detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
ACMTF for fusion of multimodal neuroimaging data and identification of biomarkers.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017
Estimation of common subspace order across multiple datasets: Application to multisubject fMRI data.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017
2016
SpectralSpatial Classification of Hyperspectral Images Using ICA and EdgePreserving Filter via an Ensemble Strategy.
IEEE Trans. Geosci. Remote. Sens., 2016
TimeVarying Brain Connectivity in fMRI Data: Wholebrain datadriven approaches for capturing and characterizing dynamic states.
IEEE Signal Process. Mag., 2016
Linked Component Analysis From Matrices to HighOrder Tensors: Applications to Biomedical Data.
Proc. IEEE, 2016
Samplepoor estimation of order and common signal subspace with application to fusion of medical imaging data.
NeuroImage, 2016
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.
IEEE J. Sel. Top. Signal Process., 2016
On the characterization, generation, and efficient estimation of the complex multivariate GGD.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016
Timevarying frequency modes of resting fMRI brain networks reveal significant gender differences.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Classification of hyperspectral data with ensemble of subspace ICA and edgepreserving filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Complex Independent Component Analysis Using Three Types of Diversity: NonGaussianity, Nonwhiteness, and Noncircularity.
IEEE Trans. Signal Process., 2015
General Nonunitary Constrained ICA and its Application to ComplexValued fMRI Data.
IEEE Trans. Biomed. Eng., 2015
Independent Vector Analysis for Gradient Artifact Removal in Concurrent EEGfMRI Data.
IEEE Trans. Biomed. Eng., 2015
IEEE Signal Process. Lett., 2015
Proc. IEEE, 2015
Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties.
Proc. IEEE, 2015
Proc. IEEE, 2015
Proc. IEEE, 2015
NeuroImage, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
A datadriven solution for abandoned object detection: Advantages of multiple types of diversity.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015
An efficient multivariate generalized Gaussian distribution estimator: Application to IVA.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015
2014
J. Signal Process. Syst., 2014
IEEE Trans. Signal Process., 2014
IEEE Trans. Signal Process., 2014
Likelihood Estimators for Dependent Samples and Their Application to Order Detection.
IEEE Trans. Signal Process., 2014
Unbiased Recursive LeastSquares Estimation Utilizing Dichotomous CoordinateDescent Iterations.
IEEE Trans. Signal Process., 2014
IEEE Trans. Signal Process., 2014
Optimization and Estimation of ComplexValued Signals: Theory and applications in filtering and blind source separation.
IEEE Signal Process. Mag., 2014
Diversity in Independent Component and Vector Analyses: Identifiability, algorithms, and applications in medical imaging.
IEEE Signal Process. Mag., 2014
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging.
NeuroImage, 2014
Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis.
NeuroImage, 2014
Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks.
NeuroImage, 2014
NeuroImage, 2014
A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Entropy rate estimation for vector processes: Application to complex FMRI analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Performance of complexvalued ICA algorithms for fMRI analysis: Importance of taking full diversity into account.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
An efficient entropy rate estimator for complexvalued signal processing: Application to ICA.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Gradient artifact removal in concurrently acquired EEG data using independent vector analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Unbiased RLS identification of errorsinvariables models in the presence of correlated noise.
Proceedings of the 22nd European Signal Processing Conference, 2014
Datadriven fusion of EEG, functional and structural MRI: A comparison of two models.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
Capturing subject variability in data driven fMRI analysis: A graph theoretical comparison.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
2013
IEEE Trans. Signal Process., 2013
Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications.
IEEE Trans. Multim., 2013
Kernelization of TensorBased Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013
Special Issue on Advances in KernelBased Learning for Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2013
Threeway (Nway) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia.
NeuroImage, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Capturing group variability using IVA: A simulation study and graphtheoretical analysis.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Adaptive feature split selection for cotraining: Application to tire irregular wear classification.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
J. Signal Process. Syst., 2012
A Novel Approach for Target Detection and Classification Using Canonical Correlation Analysis.
J. Signal Process. Syst., 2012
Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis.
J. Signal Process. Syst., 2012
A Class of Adaptive Algorithms Based on Entropy Estimation Achieving CRLB for Linear NonGaussian Filtering.
IEEE Trans. Signal Process., 2012
IEEE Trans. Signal Process., 2012
Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis.
IEEE Trans. Signal Process., 2012
Complexvalued independent vector analysis: Application to multivariate Gaussian model.
Signal Process., 2012
Denoising, phase ambiguity correction and visualization techniques for complexvalued ICA of group fMRI data.
Pattern Recognit., 2012
Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest.
NeuroImage, 2012
Constrained SourceBased Morphometry Identifies Structural Networks Associated with Default Mode Network.
Brain Connect., 2012
Complexvalued analysis and visualization of fMRI data for eventrelated and blockdesign paradigms.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
An effective decoupling method for matrix optimization and its application to the ICA problem.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Threeway FMRIDTImethylation data fusion based on mCCA+jICA and its application to schizophrenia.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Quality Map Thresholding for Denoising of ComplexValued fMRI Data and Its Application to ICA of fMRI.
J. Signal Process. Syst., 2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Signal Process., 2011
IEEE Trans. Signal Process., 2011
Automatic Identification of Functional Clusters in fMRI Data Using Spatial Dependence.
IEEE Trans. Biomed. Eng., 2011
Application of Independent Component Analysis With Adaptive Density Model to ComplexValued fMRI Data.
IEEE Trans. Biomed. Eng., 2011
IEEE Signal Process. Mag., 2011
Joint blind source separation by generalized joint diagonalization of cumulant matrices.
Signal Process., 2011
Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.
NeuroImage, 2011
Waveletbased fMRI analysis: 3D denoising, signal separation, and validation metrics.
NeuroImage, 2011
A maximum likelihood approach for independent vector analysis of Gaussian data sets.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
IVA for multisubject FMRI analysis: A comparative study using a new simulation toolbox.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Waveletbased denoising and independent component analysis for improving multigroup inference in fMRI data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Joint blind source separation from secondorder statistics: Necessary and sufficient identifiability conditions.
Proceedings of the IEEE International Conference on Acoustics, 2011
Complexvalued Gaussian signal processing: Optimality of MSE, incorporation of full statistics, and a unified view.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011
2010
IEEE Trans. Signal Process., 2010
A complex generalized Gaussian distribution: characterization, generation, and estimation.
IEEE Trans. Signal Process., 2010
Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus.
IEEE Trans. Signal Process., 2010
IEEE Trans. Signal Process., 2010
IEEE Trans. Circuits Syst. I Regul. Pap., 2010
Automatic Bayesian Classification of Healthy Controls, Bipolar Disorder, and Schizophrenia Using Intrinsic Connectivity Maps From fMRI Data.
IEEE Trans. Biomed. Eng., 2010
IEEE Signal Process. Mag., 2010
A CCA + ICA based model for multitask brain imaging data fusion and its application to schizophrenia.
NeuroImage, 2010
Multiset canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI.
NeuroImage, 2010
Changes in fMRI magnitude data and phase data observed in blockdesign and eventrelated tasks.
NeuroImage, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Blind spatiotemporal separation of second and/or higherorder correlated sources by entropy rate minimization.
Proceedings of the IEEE International Conference on Acoustics, 2010
Flexible adaptive filtering by minimization of error entropy bound and its application to system identification.
Proceedings of the IEEE International Conference on Acoustics, 2010
Fusion of concurrent single trial EEG data and fMRI data using multiset canonical correlation analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010
Second and HigherOrder Correlation Analysis of Multiple Multidimensional Variables by Joint Diagonalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
2009
IEEE Trans. Signal Process., 2009
IEEE Trans. Signal Process., 2009
IEEE Trans. Inf. Technol. Biomed., 2009
Circularity and Gaussianity Detection Using the Complex Generalized Gaussian Distribution.
IEEE Signal Process. Lett., 2009
An ICAbased method for the identification of optimal FMRI features and components using combined groupdiscriminative techniques.
NeuroImage, 2009
A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.
NeuroImage, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Using complexvalued ICA to efficiently combine radar polarimetric data for target detection.
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
2008
IEEE Trans. Signal Process., 2008
IEEE Trans. Signal Process., 2008
IEEE Trans. Neural Networks, 2008
IEEE Trans. Neural Networks, 2008
Canonical Correlation Analysis for FeatureBased Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia.
IEEE J. Sel. Top. Signal Process., 2008
IEEE J. Sel. Top. Signal Process., 2008
EURASIP J. Adv. Signal Process., 2008
Examining associations between FMRI and EEG data using canonical correlation analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls.
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Target detection and identification using canonical correlation analysis and subspace partitioning.
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
CCA for joint blind source separation of multiple datasets with application to group FMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Nonnegative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
J. VLSI Signal Process., 2007
IEEE Signal Process. Mag., 2007
Signal Process., 2007
Int. J. Biomed. Imaging, 2007
Complex FixedPoint ICA Algorithm for Separation of QAM Sources using Gaussian Mixture Model.
Proceedings of the IEEE International Conference on Acoustics, 2007
A Practical Formulation for Computation of Complex Gradients and its Application to Maximum Likelihood ICA.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Complex Infomax: Convergence and Approximation of Infomax with Complex Nonlinearities.
J. VLSI Signal Process., 2006
Neuronal chronometry of target detection: Fusion of hemodynamic and eventrelated potential data.
NeuroImage, 2006
Nonrigid Medical Image Registration by FiniteElement Deformable SheetCurve Models.
Int. J. Biomed. Imaging, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Stability Analysis of ComplexValued Nonlinearities for Maximization of Nongaussianity.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Fusion of Multisubject Hemodynamic and EventRelated Potential Data Using Independent Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
A featurebased approach to combine functional MRI, structural MRI and EEG brain imaging data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Discontinuityembedded deformable models for surface reconstruction from range images.
IEEE Signal Process. Lett., 2005
Eigenanalysis of autocorrelation matrices in the presence of noncentral and signaldependent noise.
IEEE Signal Process. Lett., 2005
Signal Process., 2005
Semiblind ICA of fMRI: A method for utilizing hypothesisderived time courses in a spatial ICA analysis.
NeuroImage, 2005
Probability distribution estimation for an integrated coding and equalization scheme in optical communications systems.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Integrated MAP equalization and turbo product coding for optical fiber communications systems.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005
2004
J. VLSI Signal Process., 2004
Independent Component Analysis Applied to fMRI Data: A Generative Model for Validating Results.
J. VLSI Signal Process., 2004
A frequencydomain training approach for equalization and noise suppression in discrete multitone systems.
Signal Process., 2004
Independent Component Analysis of ComplexValued Functional Magnetic Resonance Imaging Data by Complex Nonlinearities.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
A discontinuityembedded deformable model for surface modeling.
Proceedings of the Second IASTED International Conference on Circuits, 2004
2003
IEEE Trans. Signal Process., 2003
Latency (in)sensitive ICA: Group independent component analysis of fMRI data in the temporal frequency domain.
NeuroImage, 2003
Neural Comput., 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
2002
J. VLSI Signal Process., 2002
J. VLSI Signal Process., 2002
IEEE Trans. Neural Networks, 2002
Polarization diversity and equalization for PMD mitigation in optical communication systems.
Proceedings of the IEEE International Conference on Acoustics, 2002
Proceedings of the IEEE International Conference on Acoustics, 2002
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
Magnetic resonance image analysis by information theoretic criteria and stochastic site models.
IEEE Trans. Inf. Technol. Biomed., 2001
fMRI Activation in a VisualPerception Task: Network of Areas Detected Using the General Linear Model and Independent Components Analysis.
NeuroImage, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
Complex backpropagation neural network using elementary transcendental activation functions.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
J. VLSI Signal Process., 2000
J. VLSI Signal Process., 2000
Proceedings of the 2000 IEEE International Conference on Communications: Global Convergence Through Communications, 2000
A Weighted FrequencyDomain Least Squares Approach for Equalization in Discrete Multitone Systems.
Proceedings of the 2000 IEEE International Conference on Communications: Global Convergence Through Communications, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Integr. Comput. Aided Eng., 1999
Adaptive Filtering of Visual Evoked Responses in FMRI: Variability of Response.
Proceedings of the Signal and Image Processing (SIP), 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Estimates of constrained multiclass a posteriori probabilities in time series problems with neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999
Neural networks to estimate ML multiclass constrained conditional probability density functions.
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
Quantitative Analysis of MR Brain Image Sequences by Adaptive SelfOrganizing Finite Mixtures.
J. VLSI Signal Process., 1998
J. VLSI Signal Process., 1998
Quantification and segmentation of brain tissues from MR images: a probabilistic neural network approach.
IEEE Trans. Image Process., 1998
A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences.
Int. J. Imaging Syst. Technol., 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
A signal processing approach for effective reduction of timing jitter due to the acoustic effect.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the 9th European Signal Processing Conference, 1998
A likelihood framework for nonlinear signal processing with finite normal mixtures.
Proceedings of the 9th European Signal Processing Conference, 1998
1997
Conditional distribution learning with neural networks and its application to channel equalization.
IEEE Trans. Signal Process., 1997
Canonical piecewise linear network for nonlinear filtering and its application to blind equalization.
Signal Process., 1997
Neurocomputing, 1997
Proceedings of the Medical Imaging 1997: Image Display, 1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
Recurrent canonical piecewise linear network and its application to adaptive equalization.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Information geometry of maximum partial likelihood estimation for channel equalization.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996
Channel equalization using partial likelihood estimation and recurrent canonical piecewise linear network.
Proceedings of the 8th European Signal Processing Conference, 1996
1995
On the effect of input signal correlation on weight misadjustment in the RLS algorithm.
IEEE Trans. Signal Process., 1995
Segmentation of magnetic resonance brain image: integrating region growing and edge detection.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995
On the dynamics of the LRE algorithm: a distribution learning approach to adaptive equalization.
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994
DSP and communication engineering education with graphical block diagram simulation tools.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1992
Multichannel general order FTF algorithm and its application to the equalization of mobile communication channels.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1991
Analysis of a stabilization technique for the fixedpoint prewindowed RLS algorithm.
IEEE Trans. Signal Process., 1991
Fixedpoint roundoff error analysis of the RLS algorithm with timevarying channels.
Proceedings of the 1991 International Conference on Acoustics, 1991
1990
Convergence and error analysis of the fixed point RLS algorithm with correlated inputs.
Proceedings of the 1990 International Conference on Acoustics, 1990