Publications
Books
Tulay Adali and Simon Haykin, Adaptive Signal Processing: Next Generation Solutions,
424 pages, WileyIEEE Press, Hoboken, NJ, 2010.
Eric Moreau and Tulay Adali, Blind Identification and Separation of Complex Signals, 112 pages, ISTE and Wiley, London, UK and Hoboken, NJ, 2013.
Journal Articles
 B. Gabrielson, M. A. B. S. Akhonda, I. Lehmann, and T. Adali, "An efficient analytic solution for joint blind source separation", IEEE Trans. Signal Processing, May 2024. PDF
 V. KautskĆ½, Z. KoldovskĆ½, and T. Adali, āA Double nonstationarity: Blind extraction of independent nonstationary vector/component from nonstationary mixtures  Performance analysis,ā IEEE Trans. Signal Processing, to appear.
 I. Belyaeva, B. Gabrielson, Y. P. Wang, T. W. Wilson, V. D. Calhoun, J. M. Stephen, and T. Adali, "Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition", IEEE Trans. Biomed. Eng., to appear.
 A. Faghiri, K. Yang, K. Ishizuka, A. Sawa, T. Adali, and V.D. Calhoun, "Frequency modulation increases the specificity of timeresolved connectivity: A restingstate fMRI study", Network Neuroscience, to appear.
 M. Sun, B. Gabrielson, M.A.B.S. Akhonda, F. Laport, V. D. Calhoun, and T. Adali, "A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for MultiSubject fMRI Analysis", Sensors, 23 (11), 5333, March 2023, open access. PDF
 H. Yang , T. Vu, Q. Long, V.D. Calhoun, and T. Adali, "Identification of Homogeneous Subgroups from RestingState fMRI Data", Sensors, 23 (6), 3264, March 2023, open access. PDF
 K. M. I. Khalilullah, O. Agcaoglu, J. Sui, T. Adali, M. Duda, and V. D. Calhoun, "Multimodal fusion of multiple rest fMRI networks and MRI gray matter via parallel multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease", Human Brain Mapping, August 2023, open access. PDF
 A. Iraji, et al., T. Adali, and V. D. Calhoun, "Identifying canonical and replicable multiscale intrinsicconnectivity networks in 100k+ restingstate fMRI datasets", Human Brain Mapping, pp. 57295748, Dec. 2023, open access. PDF
 A. Iraji, et al., T. Adali, and V. D. Calhoun, "Spatial dynamic subspaces encode sexspecific schizophrenia disruptions in transient network overlap and its links to genetic risk", Biological Psychiatry, December 2023, open access.
 P. Olikkal, D. Pei, T. Adali, N. Banerjee, and R. Vinjamuri, "Data fusionbased musculoskeletal synergies in the grasping hand", Sensors, October 2022, open access. PDF
 C. Jia, Q. Fang, T. Ernst, Y. Shang, L. Chang, and T. AdalÄ±, "Independent component and graph theory analyses reveal normalized brain networks on restingsate functional MRI after working memory training in people with HIV", J. Magnetic Resonance Imaging, 13 pages, Sep. 2022. PDF
 I. Belyaeva, B. Gabrielson, Y. P. Wang, T. W. Wilson, V. D. Calhoun, J. M. Stephen, and T. AdalÄ±, "Multisubject analysis for brain developmental patterns discovery via tensor decomposition of MEG data", Neuroinformatics, 27 pages, Aug. 2022. PDF
 M. Roald, C. Schenker, J. Cohen, R. Bro, V. Calhoun, T. AdalÄ±, and E. Acar, "An AOADMM approach to constraining PARAFAC2 on all modes", SIAM Journal on Mathematics of Data Science (SIMODS), vol. 4, no. 3, pp. 11911222, 2022.
 T. AdalÄ±, and V. D. Calhoun, "Reproducibility and replicability in neuroimaging data analysis", Current Opinion in Neurology, vol. 35, no. 4, pp. 475485, Aug. 2022. PDF
 D. Pei, P. Olikkal, T. Adali, and R. Vinjamuri, "Reconstructing synergybased hand grasp kinematics from electroencephalographic signals", Sensors, 15 pages, August 2022, open access. PDF
 T. AdalÄ±, F. Kantar, M. A. B. S. Akhonda, S. Strother, V. D. Calhoun, and E. Acar, "Reproducibility in matrix and tensor decompositions: Focus on model match, interpretability, and uniqueness", IEEE Signal Processing Magazine, vol. 39, no. 4, pp. 824, July 2022. PDF
 D.Pei, P. Olikkal, T. Adali, and R. Vinjamuri, "Dynamical synergies of multi digit hand prehension", Sensors, 12 pages, June 2022, open access. PDF
 H. Dashtestani H. O. Miguel, E. E. Condy, S. Zeytinoglu, J. Millerhagen, R. Debnath, E. Smith, T. Adali, N. A. Fox, and A. H. Gandjbakhche, "Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human actionobservation network", Scientific Reports, vol 12, no. 6878, pp. 113, Apr 2022, open access. PDF
 E. Acar, M. Roald, K. M Hossain, V. D. Calhoun, and T. Adali,"Tracing Evolving Networks using Tensor Factorizations vs. ICAbased Approaches," Frontiers Neuroscience, April 2022, vol. 16, Article 861402, 18 pages, open access.
 M.A.B.S. Akhonda, Y. LevinSchwartz, V. Calhoun, and T. Adali,"Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using MultiTask FMRI Data,"Sensors, vol. 22(3), 1224, Feb 2022, open access. PDF
 I. Belyaeva, S. Bhinge, Q. Long, and T. AdalÄ±, "Taking the 4D nature into account promises significant gains in fMRI data completion," IEEE Access, Nov. 2021, open access.
 C.Jia, M.A.B.S.Akhonda, Y.LevinSchwartz, Q.Long, V.D.Calhoun, and T.Adali, "Consecutive independence and correlation transform for multimodal data fusion: Discovery of onetomany associations in structural and functional imaging data," Applied Sciences, vol. 11, no. 8382, pp. 1?~@~S20, 2021, open access.
 Q. Long, S. Bhinge, V. D. Calhoun, and T. AdalÄ±, "Relationship between dynamic BOLD activity and functional network connectivity: Characterization of schizophrenia subgroups", Brain Connectivity, vol. 11, no. 6, pp. 430446., Aug. 2021.
 M.A.B.S. Akhonda, B. Gabrielson, S. Bhinge, V. Calhoun, and T. Adali, "Disjoint Subspaces for Common and Distinct Component Analysis: Application to the Fusion of Multitask fMRI Data", Journal of Neuroscience Methods, vol. 358, pages 109214, July 2021.
 Q. Long, S. Bhinge, V. D. Calhoun, and T. AdalÄ±, "Graphtheoretical analysis identifies transient spatial states of restingstate dynamic functional network connectivity and reveals dysconnectivity in schizophrenia", J. Neuroscience Methods, vol. 350, Feb. 2021, 109039. PDF
 R. F. Silva, S. M. Plis, T. AdalÄ±, M. S. Pattichis, and V. D. Calhoun, "Multidataset independent subspace analysis with application to multimodal fusion", IEEE Trans. Image Processing, vol. 30, pp. 588602, Oct. 2020. PDF
 V. KautskĆ½, P. TichavskĆ½, Z. KoldovskĆ½, and T. AdalÄ±, "Performance bounds for complexvalued independent vector analysis" IEEE Trans. Signal Processing, vol. 68, pp. 42584267, 2020.
 Q. Long, S. Bhinge, V. D. Calhoun, and T. AdalÄ±, "Independent vector analysis for common subspace analysis: Application to multisubject fMRI data yields meaningful subgroups of schizophrenia", NeuroImage, vol. 216, 116872, pp.19, 2020. PDF
 S. Bhinge, Q. Long, V. D. Calhoun, and T. AdalÄ±, "Adaptive constrained independent vector analysis: An effective solution for analysis of largescale medical imaging data", IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 6, pp. 12551264, Oct. 2020.
 R. Jin, K. Dontaraju., S.J. Kim, M.A.B.S. Akhonda, and T. AdalÄ± "Dictionary LearningBased fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps", IEEE Journal of Selected Topics in Signal Processing. PDF
 B. Gabrielson, M. A. B. S. Akhonda, S. Bhinge, J. Brooks, Q. Long, and T. AdalÄ±, "JointIVA for identification of discriminating features in EEG: Application to a driving study", Biomedical Signal Processing and Control, vol. 61, Article no: 101948, Aug. 2020. PDF
 A. Iraji, R. Miller, T. AdalÄ±, V. D. Calhoun, "Space: A Missing Piece of the Dynamic Puzzle", Trends in Cognitive Sciences, Jan. 23, 2020.
 X. Song, S. Bhinge, R. Quiton, and T. AdalÄ±, "An ICAbased approach for steadystate and transient analysis of task fMRI data: Application to study of thermal pain response", J. Neuroscience Methods, vol. 326, 13 pages, Article no: 108356, Oct. 2019.
 A. Von Luhmann, Z. Boukouvalas, K. MuĢller, and T. AdalÄ±, "A new blind source separation framework for signal analysis and artifact rejection in functional NearInfrared Spectroscopy", NeuroImage, vol. 200, pp. 7288, Oct. 2019.
 R. Mowakeaa, Z. Boukouvalas, Q. Long, and T. AdalÄ±,"IVA using complex multivariate GGD: Application to fMRI analysis", Multidimensional Systems and Signal Processing, pp. 120. Oct. 9, 2019. PDF
 S. Bhinge, Q. Long, V.D. Calhoun, and T. AdalÄ±,"Spatial dynamic functional connectivity analysis identifies distinctive biomarkers in schizophrenia", Frontiers in Neuroscience, Sep. 2019, vol. 13, Article 1006, 13 pages. PDF

S. Bhinge, R. Mowakeaa, V.D. Calhoun, and T. Adali,"Extraction of timevarying spatiotemporal networks using parametertuned constrained IVA", IEEE Trans. Medical Imaging, vol. 38, no. 7, pp. 17151725, July 2019, open access. PDF
Correction of typos in Eqn. (6) and detailed derivation.  E. Acar, C. Schenker, Y. LevinSchwartz, V. D. Calhoun, and T. AdalÄ±, "Unraveling Diagnostic Biomarkers of Schizophrenia through StructureRevealing Fusion of Multi Modal Neuroimaging Data", Frontiers Neuroscience, vol. 13, article: 416, 16 pages, May 2019, open access.
 S. Qi, J. Sui, J. Chen, J. Liu, R. Silva, A. Araji, E. Damaraju, M. Salman, D. Lin, Z. Fu, T. AdalÄ±, and V. D. Calhoun, "Parallel Group ICA + ICA: Joint Estimation of Linked Functional Network Variability and Structural Covariation with Application to Schizophrenia", Human Brain Mapping, pp. 115, 2019.
 Q. Long, S. Bhinge, Y. LevinSchwartz, Z. Boukouvalas, V. D. Calhoun, and T. AdalÄ±, "The role of diversity in datadriven analysis of multisubject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics", Human Brain Mapping, vol. 40, no. 2, pp. 489504, Feb. 2019. PDF
 T. Adali, M. A. B. S. Akhonda, and V. D. Calhoun, "ICA and IVA for Data Fusion: An Overview and a New Approach Based on Disjoint Subspaces", IEEE Sensors, Special Issue on Multimodal Data Fusion, vol. 3, no. 1, article sequence no. 7100404, Jan. 2019.
 Y. LevinSchwartz, V. D. Calhoun, and T. AdalÄ±, "A method to compare the discriminatory power of datadriven methods: Application to ICA and IVA", J. Neuroscience Methods, vol. 311, pp. 267276, Jan. 2019.
 A. Iqbal, A.K. Seghouane, and T. AdalÄ±, āShared and subjectspecific dictionary learn ing algorithm for multisubject fMRI data analysis,ā IEEE Trans. Biomed. Eng., vol. 65, no. 11, pp. 25192528, Nov. 2018.
 D. Emge, Y. LevinSchwartz, Z. Boukouvalas, and T. AdalÄ±, āPower spectra constrained IVA for SSVEP detection,ā Biomedical Physics and Eng. Express, vol. 5, 015008, Nov. 2018.
 R. L. Miller. A. Abrol, T. AdalÄ±, Y. LevinSchwartz, and V. D. Calhoun, āRestingState fMRI Dynamics and Null Models: Perspectives, Sampling Variability, and Simulations,ā Frontiers in Neuroscience, Perspective, vol. 12, article: 551, pp. 118, September 2018.
 T. AdalÄ±, H. J. Trussell, L. K. Hansen, and V. D. Calhoun, āThe dangers of following trends in research: Sparsity and other examples of hammers in search of nails,ā Proc. IEEE, vol. 106, no. 6, pp. 10141018, June 2018.
 Q. Yu, Y. Du, J. Chen, J. Sui, T. AdalÄ±, G. D. Pearlson, and V. D. Calhoun, "Application of graph theory to assess static and dynamic brain connectivity: Approaches for building brain graphs", Proc. IEEE, vol. 106, no. 5, May 2018. PDF
 W. Du, R. Phlypo, and T. AdalÄ±, āAdaptive feature selection and feature fusion for semisupervised classification,ā Signal Processing Systems for Signal, Image, and Video Technology, pp., 117, March 2018.
 M. Yaesoubi, T. AdalÄ±, and V. D. Calhoun, āA windowless approach for capturing timevarying connectivity in fMRI data reveals the presence of states with variable rates of change,ā Human Brain Mapping, vol. 39, no. 4, pp. 16261636, April 2018.
 Z. Boukouvalas, V. D. Calhoun, and T. AdalÄ±, āSparsity and independence: Balancing two objectives in optimization for source separation with application to fMRI analysis,ā Journal of the Franklin Institute, vol. 355, no. 4, pp. 18731887, March 2018. PDF
 M.A. Vu, T. AdalÄ±, D. Ba, G. Buzs Ģaki, D. Carlson, K. Heller, C. Liston, C. Rudin, V. Sohal, A. Widge, H. Mayberg, G. Sapiro, and K. Dzirasa, āA shared vision for machine learning in neuroscience,ā Journal of Neuroscience, vol. 38, no. 4, pp. 16011607, Feb 2018.
 Y. LevinSchwartz, V. D. Calhoun, T. Adali, "Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia," IEEE Transactions on Medical Imaging, 2017.
 Y. Du, D. Lin, Q. Yu, J. Sui, J. Chen, S. Rachakonda, T. AdalÄ±, and V. D. Calhoun, āComparison of IVA and GIGICA in brain functional network estimation using fMRI data,ā Frontiers in Neuroscience, vol. 11, Article 267, pp. 118, May 2017.
 R. F. Silva, S. M. Pils, J. Sui, M. S. Pattichis, T. Adali, and V. D. Calhoun, "Blind source separation for unimodal and multimodal brain networks: A unifying framework for subspace modeling," IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 11341149, Oct. 2016.
 Y. LevinSchwartz, Y. Song, P. J. Schreier, V. D. Calhoun, and T. Adali, "Samplepoor estimation of order and common signal subspace with application to fusion of medical imaging data," NeuroImage, vol. 134, pp. 486493, July 2016.
 J. Xia, L. Bombrun, T. Adali, Y. Berthoumieu, and C. Germain, "SpectralSpatial Classification of Hyperspectral Images Using ICA and EdgePreserving Filter via an Ensemble Strategy," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 8, pp. 49714982, May 2016.
 V. D. Calhoun and T. Adali, "TimeVarying Brain Connectivity in fMRI Data: Wholebrain datadriven approaches for capturing and characterizing dynamic states," IEEE Signal Processing Magazine, vol. 33, no. 3, pp. 5266, May 2016.
 R. L. Miller. M. Yaesoubi, J. Turner, D. Mathalon, A. Preda, G. Pearlson, T. Adali, and V. D. Calhoun, "Higher Dimensional MetaState Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients," PLoS ONE, vol. 11, no. 3, pp. 124, March 16, 2016.
 W. Du, Y. LevinSchwartz, G.S. Fu, S. Ma, V. D. Calhoun, and T. Adali, "The role of diversity in complex ICA algorithms for fMRI analysis," Journal of Neuroscience Methods, vol. 264, pp. 129135, March 15, 2016.
 D. Emge, F. Vialatte, G. Dreyfus, and T. Adali, "Independent vector analysis for SSVEP signal enhancement, detection, and topographical mapping," Brain Topography, March 3, 2016.
 G. Zhou, Q. Zhao, Y. Zhang, T. Adali, S. Xie, and A Cichocki, "Linked component analysis from matrices to high order tensors: Applications to biomedical data," Proc. IEEE, vol. 201, no. 2, pp. 310331, Feb. 2016.
 S. Gopal, R. Miller, A. Michael, T. Adali, M. Cetin, J. Bustillo, S. A. Baum, and V. D. Calhoun, "Spatial variance in resting fMRI networks of schizophrenia patients: an independent vector analysis," Schizophrenia Bulletin, vol. 42, no. 1, pp. 152160, Jan. 2016.
 Z. Boukouvalas, S. Said, L. Bombrun, Y. Berthoumieu, and T. Adali, "A new Riemannian averaged fixedpoint algorithm for MGGD parameter estimation," IEEE Signal Proc. Letts., vol. 22, no. 12, pp. 23142318, Dec. 2015.
 T. Adali, Y. LevinSchwartz, and V. D. Calhoun, "Multimodal data fusion using source separation: Two effective models based on ICA and IVA and their properties," Proc. IEEE, vol. 103, no. 9, pp. 14781493, Sep. 2015.
 T. Adali Y. LevinSchwartz, and V. D. Calhoun, "Multimodal data fusion using source separation: Application to medical imaging," Proc. IEEE, vol. 103, no. 9, pp. 14941506, Sep. 2015. PDF
 D. Lahat, T. Adali and C. Jutten, "Multimodal data fusion: An overview of methods, challenges, and prospects," Proc. IEEE, vol. 103, no. 9, pp. 14491477, Sep. 2015. PDF
 V. D. Calhoun, R. Silva, T. Adali, and S. Rachakonda, "Comparison of PCA approaches for very large group ICA," NeuroImage, pp. 662666, May 2015.
 J. Laney, T. Adali, S. McCombe Waller; and K. Westlake, "Quantifying motor recovery after stroke using independent vector analysis and graphtheoretical analysis," NeuroImage Clinical, no. 8, pp. 298304, 2015.
 P. Acharjee, R. Phlypo, L. Wu, V. D. Calhoun, and T. Adali, "Independent vector analysis for gradient artifact removal in concurrent EEGfMRI data," IEEE Trans. Biomed. Eng., vol. 62, no. 7, pp. 17501758, July 2015.
 J. Laney, K. Westlake, S. Ma, E. Woytowicz, V. D. Calhoun, and T. Adali, "Capturing subject variability in fMRI data: A graphtheoretical analysis of GICA vs IVA," Journal of Neuroscience Methods, vol. 247, pp. 3240, May 2015.

P. Rodriguez, M. Anderson, V. D. Calhoun, and T. Adali, "General nonunitary constrained ICA and its application to complexvalued fMRI data," IEEE Trans. Biomed. Eng., vol. 62, no. 3, pp. 922929, March 2015.
Correction of typos in Eqns. (18) and (19) and detailed derivation.  G.S. Fu, R. Phlypo, M. Anderson, and T. Adali, "Complex Independent Component Analysis Using Three Types of Diversity: NonGaussianity, Nonwhiteness, and Noncircularity," IEEE Trans. Signal Processing, vol. 63, no. 3, pp. 794805, Feb. 2015.
 T. Adali, M. Anderson, and G.S. Fu, "Diversity in independent component and vector analyses: Identifiability, algorithms, and applications in medical imaging," IEEE Signal Processing Magazine, vol. 31, no. 3, pp. 1833, May 2014. PDF
 T. Adali and P. J. Schreier,"Optimization and estimation of complexvalued signals: Theory and applications in filtering and blind source separation," IEEE Signal Processing Magazine, vol. 31, no. 5, pp. 112128, Sep. 2014.
 G.S. Fu, R. Phlypo, M. Anderson, X.L. Li, and T. Adali, "Blind source separation by entropy rate minimization," IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 42454255, Aug. 2014.
 G.S. Fu, M. Anderson, and T. Adali, "Likelihood estimators for dependent samples and their application to order selection," IEEE Trans. Signal Processing, vol. 62, no. 16, pp. 42374244, Aug. 2014.
 M. Anderson, G.S. Fu, R. Phlypo, and T. Adali, "Independent Vector Analysis: Identification Conditions and Performance Bounds," IEEE Trans. Signal Processing, vol. 62, no. 17, pp. 43994410, Sep. 2014.
 A. Michael, M. Anderson, R. Miller, T. Adali, and V. D. Calhoun, "Preserving subject variability in group fMRI analysis: Performance evaluation of GICA vs IVA," Frontiers Syst. Neuroscience, vol. 8, pp. 106113, June 2014. NIH Public Access full text
 R. Silva, S. Pils, T. Adali, and V. D. Calhoun, "A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging," NeuroImage, vol. 102, part 1, pp. 92117, Nov. 2014.
 M. R. Arbabshirani, E. Damaraju, R. Phlypo, S. Plis, E. Allen, S. Ma, D. Mathalon, A. Preda, J. G. Vaidya, T. Adali, and V. D. Calhoun, "Impact of autocorrelation on functional connectivity," NeuroImage, vol. 102, part 2, pp. 294308, Nov. 2014.
 V. D. Calhoun, R. Miller, G. Pearlson, and T. Adali, "The chronnectome: timevarying connectivity networks as the next frontier in fMRI data discovery," Neuron, vol. 84, no. 2, Oct. 22, 2014.
 D. Hjelm, R. Salakhutdinov, E. Allen, S. Pils, T. Adali, and V. D. Calhoun, "Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks," NeuroImage, vol. 96, pp. 245260, August 2014.

P. Rodriguez, M. Anderson, X.L. Li, and T. Adali, "General nonorthogonal constrained ICA," IEEE Trans. Signal Processing, vol. 62, no. 11, pp. 27782786, June 2014.
Correction of typos in Eqns. (16) and (17) and detailed derivation.  R. Arablouei, K. Dogancay, and T. Adali, "Unbiased recursive leastsquares estimation utilizing dichotomous coordinatedescent iterations," IEEE Trans. Signal Processing, vol. 62, no. 11, pp. 29732983, June 2014.
 S. Ma, V. D. Calhoun, R. Phlypo, and T. Adali, "Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis," NeuroImage, vol. 90, pp. 196206, April 2014.
 X.L. Li, and T. Adali, "Noncircular complex ICA by generalized Householder reflections," IEEE Trans. Signal Processing, vol. 61, no. 24, pp. 64236430, Dec. 2013.
 V. D. Calhoun, V. K. Potluru, R. Phlypo, R. F. Silva, B. A. Pearlmutter, A. Caprihan, S. M. Plis, and T. Adali, "Independent component analysis for brain fMRI does indeed select for maximal independence," PLoS ONE, vol. 8, no. 8: e73309.
 Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki, "Kernelization of Tensorbased models for multimodal data analysis," IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 137148, July 2013.
 J. Sui, H. He, G. D. Pearlson, T. Adali, K. A. Kiehl, Q. Yu, V. P. Clark, E. Castro, T. White, B. A. Mueller, B. C. Ho, N. C. Andreasen, and V. D. Calhoun, "Threeway (Nway) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia," NeuroImage, vol. 66, pp. 119132, Feb. 2013. NIH Public Access full text
 V. D. Calhoun and T. Adali, "Multisubject independent component analysis of fMRI: A decade of intrinsic networks, Default Mode, and Neurodiagnostic Discovery," IEEE Reviews in Biomedical Engineering, invited contribution, vol. 5, pp. 6073, 2012.
 V. D. Calhoun and T. Adali "Analysis of complexvalued functional magnetic resonance imaging data: Are we just going through a phase?" Scientific Quarterly Journal Bulletin of the Polish Academy of Sciences, invited contribution, vol. 60, no. 3, Dec. 2012.
 X.L. Li, and T. Adali "Complexvalued linear and widely linear filtering using MSE and Gaussian entropy," IEEE Trans. Signal Processing, vol. 60, no. 11, Nov. 2012, pp. 56725684, Nov. 2012.
 S. Ma, V. D. Calhoun, T. Eichele, and T. Adali "Modulations of functional connectivity in healthy and schizophrenia groups during task and rest," NeuroImage, vol. 62, no. 3, pp. 16941704, Sep. 2012.
 W. Wang, T. Adali, and D. Emge, "A novel approach for target detection and classification using canonical correlation analysis," Signal Processing Systems for Signal, Image, and Video Technology, vol. 68, no. 3, pp. 379390, Sep. 2012.
 M. Anderson, X.L. Li, and T. Adali, "Complexvalued independent vector analysis: application to multivariate Gaussian model," Signal Processing, vol. 92, no. 8, pp. 18211831, Aug. 2012.
 P. Rodriguez, V. D. Calhoun, T. Adali, "Denoising, phase ambiguity correction and visualization techniques for complexvalued ICA of group fMRI data," Pattern Recognition, vol. 45, pp. 20502063, June 2012. NIH Public Access full text
 W. Du, V. D. Calhoun, H. Li, S. Ma, T. Eichele, K. A. Kiehl, G. D. Pearlson, and T. Adali "High classification accuracy for schizophrenia with rest and task fMRI data," Frontiers in Human Neuroscience, vol. 6, Article 145, 12 pages, May 2012. NIH Public Access full text

M. Anderson, X.L. Li, and T. Adali, "Joint blind source separation with multivariate Gaussian model: Algorithms and performance analysis," IEEE Trans. Signal Processing, vol. 60, no. 4, pp. 20492055, April 2012.
Correction of a typo in Eqn. (25) and detailed derivation.  H. Li, XL. Li, M. Anderson, and T. Adali, "A class of adaptive algorithms based on entropy estimation achieving CRLB for linear nonGaussian filtering," IEEE Trans. Signal Processing, ol. 60, no. 4, pp. 20492055, April 2012.
 V. D. Calhoun, T. Eichele, T. Adali and E. A. Allen, "Decomposing the brain: components and modes, networks and nodes," Trends in Cognitive Sciences, Spotlight article, vol. 16, no. 5, pp. 255256, April 2012. NIH Public Access full text
 M. Mboup and T. Adali, "A generalization of the Fourier transform and its application to spectral analysis of chirplike signals," Applied and Computational Harmonic Analysis, vol. 32, no. 2, pp. 305312, March 2012.
 J. Sui, T. Adali Q. Yua, J. Chena, V. D. Calhoun, "A Review of multivariate methods for multimodal fusion of brain imaging data," J. Neuroscience Methods, pp. 6881, vol. 204, no. 1, pp. 6881, Feb. 2012. NIH Public Access full text
 L. Luo, L. Xu, R. Jung, G. Pearlson, T. Adali, and V. D. Calhoun, "Constrained source based morphometry identifies structural networks associated with default mode network," Brain Connectivity, vol. 2012, no. 735249, 18 pages, 2012. NIH Public Access full text
 L. Xu, T. Adali, D. Schretlen, G. Pearlson, and V. D. Calhoun, "Structural angle and power images reveal interrelated gray and white matter abnormalities in schizophrenia," Neurology Research Int., vol. 2012, no. 735249, 18 pages, 2012. NIH Public Access full text
 Y.O. Li, T. Eichele, V.D. Calhoun, and T. Adali," "Group study of simulated driving fMRI data by multiset canonical correlation analysis," Signal Processing Systems for Signal, Image, and Video Technology, vol. 68, no. 1, pp. 3148, 2012. NIH Public Access full text
 W. Xiong, Y.O. Li, N. Correa, X.L. Li, V. D. Calhoun, and T. Adali, " Order selection of the linear mixing model for complexvalued fMRI data," Signal Processing Systems for Signal, Image, and Video Technology, vol. 2012, no. 735249, 18 pages, 2012. NIH Public Access full text
 S. Ma, N. Correa, X.L. Li, T. Eichele, V. D. Calhoun, and T. Adali "Automatic identification of functional clusters in fMRI data using spatial dependence," IEEE Trans. Biomed. Eng., vol. 58, no. 12, pp. 34063017, Dec. 2011. NIH Public Access full text
 P. Rodriguez, N. M. Correa, T. Eichele, V. D. Calhoun, and T. Adali, "Quality map thresholding for denoising of complexvalued fMRI data and its application to ICA of fMRI," Signal Processing Systems for Signal, Image, and Video Technology, vol.65, no. 3, pp. 497508, Dec. 2011.
 E. B. Erhardt, S. Rachakonda, E. Bedrick, E. Allen, T. Adali, and V. D. Calhoun, "Comparison of multisubject ICA methods for analysis of fMRI data," Human Brain Mapping, vol. 32, no. 12, pp. 20752095, Dec. 2011. NIH Public Access full text
 T. Adali, D. J. Miller, K. Diamantaras, and J. Larsen, "Trends in Machine Learning for Signal Processing [In the Spotlight]," IEEE Signal Processing Magazine, vol. 28, no. 6, pp. 193196, Nov. 2011.
 T. Adali, P. J. Schreier, and L. L. Scharf, "Complexvalued signal processing: The proper way to deal with impropriety," IEEE Trans. Signal Processing (overview paper), vol. 59, no. 11, pp. 51015123, Nov. 2011. PDF
 M. Novey, E. Ollila, and T. Adali, "On testing the extent of noncircularity," IEEE Trans. Signal Processing, vol. 59, no. 11, pp. 56325637, Nov. 2011.
 X.L. Li, T. Adali, and M. Anderson, "Noncircular principal component analysis and its application to model selection," IEEE Trans. Signal Processing, vol. 59, no. 10, pp. 45164528i, Oct. 2011.
 H. Li, N. Correa, P. A. Rodriguez, V. D. Calhoun, T. Adali, "Application of independent component analysis with adaptive density model to complexvalued fMRI data," IEEE Trans. Biomed. Eng., vol. 58, no. 10, part 1, pp. 27942803, Oct 2011. NIH Public Access full text
 X.L. Li, M. Anderson, and T. Adali "Joint blind source separation by generalized joint diagonalization of cumulant matrices," Signal Processing, vol. 91, no. 10, pp. 23142322, Oct. 2011.
 J. Sui, G. Pearlson, A. Caprihan, T. Adali, K. A. Kiehl, J. Liu, J. Yamamoto, and V. D. Calhoun, "Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model," NeuroImage, vol. 57, no. 3, pp. 839855, Aug. 2011. NIH Public Access full text
 X.L. Li and T. Adali, "Blind separation of noncircular correlated sources using Gaussian entropy rate," IEEE Trans. Signal Processing, vol.~59, no. 6, pp. 29692975, June 2011.
 S. Khullar, A. M. Michael, N. Correa, T. Adali, S. A. Baum, and V. D. Calhoun, "Waveletbased fMRI analysis: 3D denoising, signal separation, and validation metrics," NeuroImage, vol. 54, no. 4, pp. 28672884, Feb. 2011. NIH Public Access full text
 H. Li and T. Adali, "Stability analysis and Newton algorithm for complex maximum likelihood ICA using Wirtinger calculus," IEEE Trans. Signal Processing, vol. 58, no. 12, pp. 61566167, Dec. 2010. The version that corrects the values of γ in Table II and restores a missing parentheses on page 7.
 J. Arribas, V. D. Calhoun, and T. Adali, "Automatic Bayesian classification of healthy controls, bipolar disorder and schizophrenia using intrinsic connectivity maps from fMRI data," IEEE Trans. Biomed. Eng., vol. 57, no. 12, pp. 28502860, Dec. 2010. NIH Public Access full text

X.L. Li and T. Adali, "Independent component analysis by entropy bound minimization,"
IEEE Trans. Signal Processing, vol. 58, no. 10, pp. 51515164, Oct. 2010.
* Note: In Eqn. (21), the max operator should be replaced by the min operator.  N. M. Correa, T. Adali, and V. D. Calhoun, ""Canonical correlation analysis for data fusion and group analysis: Examining applications of medical imaging data," IEEE Signal Processing Magazine, vol. 27, no. 4, pp. 3950, July 2010. NIH Public Access full text
 X.L. Li and T. Adali, "Complex independent component analysis by entropy bound minimization," IEEE Trans. Circuits and Systems I, vol. 57, no. 7, pp. 14171430, July 2010.
 J. Sui, T. Adali, G. Pearlson, H. Yang, S. R. Sponheim, T. White, and V. D. Calhoun, "A CCA+ICA based model for multitask brain imaging data fusion and its application to schizophrenia," NeuroImage, vol. 51, no. 1, pp. 123134, May 2010. NIH Public Access full text
 N. M. Correa, T. Eichele, T. Adali, Y.O. Li, and V. D. Calhoun, "Multiset canonical correlation analysis for the fusion of concurrent single trial ERP and functional MRI," NeuroImage, vol. 50, no. 4, pp. 14381445, May 2010. NIH Public Access full text
 W. Xiong, H. Li, T. Adali, Y.O. Li, and V. D. Calhoun, "On entropy rate for the complex domain and its application to i.i.d. sampling," IEEE Trans. Signal Processing, vol. 58, no. 4, pp. 24092414, April 2010. NIH Public Access full text

M. Novey, T. Adali, and A. Roy, "A complex generalized Gaussian distribution
characterization, generation, and estimation," IEEE Trans. Signal Processing, vol. 58,
no. 3, part. 1, pp. 14271433, March 2010.
The version that corrects a typo in equation (7)  S. K. Arja, Z. Feng, Z. Chen, A. Caprihan, K. A. Kielh, T. Adali, and V. D. Calhoun, "Changes in fMRI magnitude data and phase data observed in blockdesign and eventrelated tasks," NeuroImage, vol. 49, no. 4, pp. 31493160, Feb. 2010. NIH Public Access full text
 M. Novey, T. Adali, and A. Roy, " Circularity and Gaussianity detection using the complex generalized Gaussian distribution," IEEE Signal Proc. Letts., vol. 16, no. 11, pp. 993996, Nov. 2009.
 Y.O. Li, T. Adali, W. Wang, and V. D. Calhoun, "Joint blind source separation by multiset canonical correlation analysis," IEEE Trans. Signal Processing, vol. 57, no. 10, pp. 39183929, Oct. 2009. NIH Public Access full text
 V. D. Calhoun and T. Adali, "Featurebased fusion of medical imaging data," IEEE Trans. Info. Tech. and Biomedicine, vol. 13, no. 5, pp. 711720, Sep. 2009. NIH Public Access full text
 J. Sui, T. Adali, V. Clark, G. Pearlson, and V. D. Calhoun, "A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework," Human Brain Mapping, vol. 30, pp. 29532970, Sep. 2009. NIH Public Access full text
 J. Sui, T. Adali, G. Pearlson, V. D. Calhoun, An ICAbased method for the identification of optimal fMRI features and components using combined groupdiscriminative techniques, NeuroImage, vol. 46, no. 1, pp. 7386, May 2009.
 W. Wang, T. Adali, and D. Emge, "Subspace partitioning for target detection and identification," IEEE Trans. Signal Processing, vol. 57, no. 4, April 2009.
 V. D. Calhoun, J. Sui, T. Adali, "A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data," NeuroImage, vol. 45, no. 1, supp. 1, pp. S163S172, March 2009. NIH Public Access full text
 N. Correa, Y.O. Li, T. Adali, and V. D. Calhoun, "Canonical correlation analysis for featurebased fusion of biomedical imaging modalities and its application to detection of associative networks in schizophrenia," Special Issue on fMRI Analysis for Human Brain Mapping, IEEE J. Selected Topics in Signal Processing, vol. 2, no. 6, pp. 9981007, Dec. 2008. NIH Public Access full text
 T. Adali, H. Li, M. Novey, and J.F. Cardoso, "Complex ICA using nonlinear functions," IEEE Trans. Signal Processing, vol. 56, no. 9, pp. 45364544, Sept. 2008.
 M. Novey and T. Adali, "On extending the complex FastICA algorithm to noncircular sources," IEEE Trans. Signal Processing, vol. 56, no. 5, pp. 21482154, May 2008.
 H. Li and T. Adali, "Complexvalued adaptive signal processing using nonlinear functions," Journal on Advances in Signal Processing, Special issue on Emerging Machine Learning Techniques in Signal Processing, vol. 2008, Article ID 765615, 9 pages, 2008.
 H. Safavi, N. Correa, W. Xiong, A. Roy, T. Adali, V. R. Korostyshevskiy, C. C. Whisnant, and F. SeillierMoiseiwitsch, "Independent component analysis of 2D Electrophoresis gels", Electrophoresis, vol. 29, no. 19, pp. 40174026, 2008.
 M. Novey and T. Adali, "Complex ICA by negentropy maximization," IEEE Trans. Neural Networks, vol. 19, no. 4, pp. 596609, April 2008.
 H. Li and T. Adali, "A class of complex ICA algorithms based on the kurtosis cost function," IEEE Trans. Neural Networks, vol. 19, no. 3, pp. 408420, March 2008.
 T. Adali and V. D. Calhoun, " Complex ICA of brain imaging data," IEEE Signal Processing Mag., vol. 24, no. 5, pp. 136139, Sept. 2007.
 Y.O. Li, T. Adali, and V. D. Calhoun, " A featureselective independent component analysis method for functional MRI," Int. Journal of Biomedical Imaging, 2007, (12 pages). NIH Public Access full text Full info at publisher's site
 W. Wang and T. Adali, "Detection using correlation bound in a linear mixture model," Signal Processing, vol. 87, pp. 11181127, 2007.
 N. Correa, T. Adali, and V. D. Calhoun, "Performance of blind source separation algorithms for fMRI analysis using a group ICA method," Magnetic Resonance Imaging, vol. 25, no. 5, pp. 684694, June 2007. NIH Public Access full text
 Y.O. Li, T. Adali, and V. D. Calhoun, "Estimating the number of independent components for fMRI data," Human Brain Mapping, vol. 28, pp. 125166, 2007.
 H. Li, T. Adali, W. Wang, D. Emge, and A. Cichocki, "Nonnegative matrix factorization with orthogonality constraints and its application to Raman spectroscopy," VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 48, nos. 12, pp. 8397, August 2007.
 W. Xi and T. Adali, "Integrated MAP equalization and coding for optical fiber communications systems," Journal of Lightwave Tech., vol.24, no.10, pp.36633670, Oct. 2006.
 V. D. Calhoun and T. Adali, "Unmixing fMRI with independent component analysis," IEEE Engineering in Medicine and Biology Magazine, vol.25, no.2, pp.7990, March/April 2006.
 V. D. Calhoun, T. Adali, K. A. Kiehl, R. Astur, J. J. Pekar, and G. D. Pearlson, "A method for multitask fMRI data fusion applied to schizophrenia," Human Brain Mapping, vol. 27, no. 7, pp. 598610, 2006.
 V. D. Calhoun and T. Adali, "Complex Infomax: Convergence and approximation of Infomax with complex nonlinearities," VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 44, nos. 1/2, pp. 173190, August 2006.
 J. Xuan, Y. Wang, M. T. Freedman, T. Adali, and P. G. Shields, "Nonrigid medical image registration by finiteelement deformable sheetcurve models," Int. Journal of Biomedical Imaging, vol. 2006, article ID 73430, 9 pages, 2006. NIH Public Access full text
 V. D. Calhoun, T. Adali, G. D. Pearlson, and K. A. Kiehl, "Neuronal chronometry of target detection: Fusion of hemodynamic and eventrelated potential data," Neuroimage, vol. 30, no. 2, pp. 544553, April 2006.
 V. D. Calhoun, T. Adali, N. R. Giuliani, J. J. Pekar, K. A. Kiehl, and G. D. Pearlson, "Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data," Human Brain Mapping, vol. 27, no. 1, pp. 4762, 2006.
 J. Xuan, Y. Wang, Q. Zheng, and T. Adali, "Discontinuityembedded deformable models for surface reconstruction from range images," IEEE Signal Proc. Letts., vol. 12, no. 12, pp. 805808, Dec. 2005.
 W. Xi, T. Adali, and J. Zweck, "A MAP equalizer for the optical communications channel," Journal of Lightwave Tech., vol. 23, no. 12, pp. 39893996, Dec. 2005.
 T. Adali and H. Ni, "Partial likelihood for online order selection," Signal Processing, Special Issue on Information Theoretic Signal Processing, vol. 85, no. 5, pp. 917926, May 2005 (invited).
 V. D. Calhoun, T. Adali, M. Stevens, K. Kiehl and J. J. Pekar, "Semiblind ICA of fMRI: A method for utilizing hypothesisderived time courses in a spatial ICA analysis," Neuroimage, vol. 25, no. 2, pp. 527538, April 2005.
 W. Wang and T. Adali, "Eigenanalysis of autocorrelation matrices in the presence of noncentral and signaldependent noise," IEEE Signal Proc. Letts., vol. 12, no. 2, pp, 8588, Feb. 2005.
 V. D. Calhoun, T. Adali, and J. J. Pekar, "A method for comparing group fMRI data using independent component analysis: Application to visual, motor, and visuomotor tasks," Magnetic Resonance Imaging, vol. 22, pp. 11811191, 2004.
 V. D. Calhoun, T. Adali, G. D. Pearlson, "Independent component analysis applied to fMRI data: A generative model for validating results," VLSI Signal Processing Systems for Signal, Image, and Video Technology, Double Special Issue: Biomedical and Communications Applications of Neural Networks, vol. 37, no. 2/3, pp. 281291, June/July 2004.
 B. Wang and T. Adali, "A frequencydomain training approach for equalization and noise suppression in discrete multitone systems," Signal Processing, vol. 84, no. 2, pp. 327339, 2004.
 V. D. Calhoun, T. Adali, J. J. Pekar, G. D. Pearlson, "Latency (in)sensitive ICA: Group independent component analysis of fMRI data in the temporal frequency domain," Neuroimage, vol. 20, no. 3, pp. 16611669, Nov. 2003.
 T. Kim and T. Adali, "Approximation by fullycomplex multilayer perceptrons," Neural Computation, vol. 15, no. 7, pp. 16411666, July 2003.
 A. O. Lima, I. T. Lima, Jr., C. R. Menyuk, and T. Adali, "Comparison of power penalties due to first and allorder PMD distortions in optical fiber transmission systems," Optics Letts., vol. 28, no. 5, pp. 310312, 2003.
 Y. Cai, J.M. Morris, T. Adali, and C.R. Menyuk, "On Turbo code decoder performance in optical fiber communication systems with dominating ASE noise", Journal of Lightwave Tech., vol. 21, no. 3, pp. 727734, March 2003.
 T. Adali and H. Ni, "Partial likelihood for realtime signal processing," IEEE Trans. Signal Proc., vol. 51, no. 1, pp. 204212, Jan.2003.
 T. Kim and T. Adali, "Fully complex multilayer perceptron for nonlinear signal processing," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 32, pp. 2943, Aug.Sep. 2002.
 V. D. Calhoun, T. Adali, G. D. Pearlson, P. C. M. van Zijl, and J. J. Pekar, "Independent component analysis of fMRI data in the complex domain," Magnetic Resonance in Medicine, vol. 48, issue 1, pp. 180192, July 2002.
 V. D. Calhoun, J. J. Pekar, V. B. McGinty, T. Adali, T. D. Watson, and G. D. Pearlson, "Different activation dynamics in multiple neural systems during simulated driving," Human Brain Mapping, vol. 16, no. 3, July 2002.
 A. O. Lima, I. T. Lima, Jr., T. Adali, and C. R. Menyuk, "A novel polarization diversity receiver for PMD mitigation," IEEE Photonics Technology Letters, vol. 14, no. 4, pp. 465467, April 2002.
 Y. Cai, T. Adali, J. M. Morris, and C. R. Menyuk, "Sliding window criterion codes and concatenation scheme for mitigating timing jitter induced errors in WDM optical fiber transmissions," Journal of Lightwave Tech., vol. 20, no. 2, pp. 201212, Feb. 2002.
 J. Xuan, T. Adali, Y. Wang, W. Hayes, J. Lynch, M. Freedman, and S. K. Mun, "A computerized simulation system for prostate needle biopsy," Simulation and Gaming, Special issue on Medical and Healthcare Simulation, Part 2, vol. 32, no. 3, pp. 391403, Sep. 2001.
 Y. Wang, T. Adali, J. Xuan, Z. Szabo, "Magnetic resonance image analysis by information theory and stochastic site model," IEEE Trans. Information Technology in Biomedicine, vol. 5, no. 2, pp. 150158, June 2001.
 V. D. Calhoun, T. Adali, M. Kraut, and G. Pearlson, "Spatial versus temporal independent component analysis of functional MRI data containing a pair of taskrelated waveforms," Human Brain Mapping, vol. 13, pp. 4353, 2001.
 V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar, "A method for making group inferences from functional MRI data using independent component analysis," Human Brain Mapping, vol. 14, pp. 140151, 2001.
 V. D. Calhoun, T. Adali, V. McGinty, J. Pekar, T. Watson, and G. Pearlson, "fMRI activation in a visual perception task: network of areas detected using the general linear model and independent component analysis", Neuroimage, vol. 14, pp. 10801088, 2001.
 J. Xuan, T. Adali, Y. Wang, and E. Siegel, "Automatic detection of foreign objects in computed radiography," Journal of Biomedical Optics, vol. 5, no. 4, pp. 425431, Oct. 2000.
 V. D. Calhoun, T. Adali, M. Kraut, and G. Pearlson, "A weighted least squares algorithm for estimation and visualization of real event related functional MRI," Magnetic Resonance in Medicine, vol. 44, pp. 947954, 2000.
 H. Ni, T. Adali, B. Wang, and X. Liu, "A general probabilistic formulation for supervised neural classifiers," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Signal Processing, vol. 26, nos. 1/2, pp. 141153, Aug. 2000 (invited).
 T. Adali and S. H. Ardalan, "On Steadystate performance of the fixedpoint RLS algorithm," Computers and Electrical Engineering, vol. 25, no. 1, pp. 116, Jan. 1999.
 T. Adali, B. Bakal, M. K. Sönmez, and R. Fakory, "NOx and CO prediction with variable tapped delay line neural networks," Journal of Integrated ComputerAided Engineering, Special Issue on Neural Techniques for Industrial Applications, vol. 6, no. 1, pp. 2739, 1999.
 T. Adali, Y. Wang, and N. Gupta, "A blockwise relaxation labeling scheme and its application to edge detection in cardiac MR image sequences," International Journal of Imaging Systems, Special Issue on Image Sequence Processing, vol. 9, pp. 340350, Oct. 1998.
 Y. Wang, T. Adali, S.Y. Kung, and Z. Szabo, "Quantification and segmentation of brain tissue from MR images: A probabilistic neural network approach," IEEE Trans. Image Processing, Special Issue on Applications of Neural Networks to Image Processing, vol. 7, no. 8, pp. 11651181, Aug. 1998. NIH Public Access full text
 T. Adali, B. Wang, A. N. Pilipetskii, and C. R. Menyuk, "A filtering approach for reducing timing jitter due to the acoustic effect" Journal of Lightwave Tech., vol. 16, no. 6,pp. 986989, June 1998.
 Y. Wang, T. Adali, C. Lau, and S.Y. Kung, "Quantitative analysis of MR brain image sequences by adaptive selforganizing mixtures," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue: Neural Networks for Biomedical Image Processing, vol. 18, no. 3, pp. 219239, Apr. 1998.
 T. Adali and X. Liu, "Canonical piecewise linear network for nonlinear adaptive filtering and its application to blind equalization," Signal Processing, vol. 61, no. 2, pp. 145155, Sep. 1997.
 T. Adali, X. Liu, and M. K. Sönmez, "Conditional distribution learning with neural networks and its application to channel equalization," IEEE Trans. Signal Processing, vol. 45, no. 4, pp. 10511064, Apr. 1997.
 Y. Wang, T. Adali, and S. C. B. Lo, "Automatic threshold selection using histogram quantization," Journal of Biomedical Optics, vol. 2, no. 2, pp. 211217, Apr. 1997.
 T. Adali, B. Bakal, M. K. Sönmez, R. Fakory, and O. Tsaoi, "Modeling core neutronics with recurrent neural networks," Neurocomputing, Special Issue on Recurrent Networks for Sequence Processing, vol 15, pp. 363381, 1997.
 T. Adali and S. H. Ardalan, "On the effect of input signal correlation on weight misadjustment in the RLS algorithm," IEEE Trans. Signal Processing, vol. 43, no. 4, pp. 988991, Apr. 1995.
 T. Adali and S. H. Ardalan, "Analysis of a stabilization technique for the fixedpoint prewindowed RLS algorithm," IEEE Trans. Signal Processing, vol. 39, no. 9, pp. 20792082, Sep. 1991.
Book Chapters
 V. D. Calhoun and T. Adalı, ICA for Fusion of Brain Imaging Data, Signal Processing Techniques for Knowledge Extraction and Information Fusion, D. Mandic, M. Golz, A. Kuh, D. Obradovic, and T. Tanaka, (editors), Springer, 2008.
 T. Adalı and Y. Wang, Image Analysis and Graphics for Multimedia Presentation, Multimedia Image and Video Processing, L. Guan, S.Y Kung, and J. Larsen (editors), CRC Press: Boca Raton, FL, 2000, pp. 201241.
 T. Adalı, Y. Wang, and H. Li, Applications of Neural Networks in Biomedical Signal Processing, (Chapter 12), Handbook of Neural Network Signal Processing, Y. H. Hu and J.N. Hwang (editors), CRC Press, 2002, pp. 121 – 1228.
 Y. Wang and T. Adalı, Stochastic Model Based Image Analysis, Signal Processing for Magnetic Resonance Imaging and Spectroscopy, H. Yan editor, Marcel Dekker, 2002, pp. 365 – 399.
Editorials
 T. Adali, "Today's Rapidly Evolving Education Landscape: Challenges and Opportunities [From the Editor]," IEEE Signal Processing Magazine, vol. 41, no. 2, pp. 35, March 2024, open access. PDF
 T. Adali, "An Exciting Juncture for Signal Processing Research: On Building Bridges, Challenges, and Opportunities [From the Editor]," IEEE Signal Processing Magazine, vol. 41, no. 1, pp. 36, Jan. 2024, open access. PDF
 R. Capobianco Guido, T. Adali, E. Björnson, L. BlancFeraud, U. BragaNeto, B. Ghoraani, C. Jutten, A. J. Van Der Veen, H. V. Zhao, and X. Zhu, "IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]," IEEE Signal Processing Magazine, Part 1, vol. 40, no. 4, pp. 36, June 2023, open access. PDF Part 2, vol. 40, no. 5, pp. 811, July 2023, open access. PDF
 T. Adali, R. Capobianco Guido, T. K. Ho, K. R. MuĢller, and S. Strother, "Interpretability, Reproducibility, and Replicability [From the Guest Editors]," IEEE Signal Processing Magazine, vol. 39, no. 4, pp. 57, July 2022, open access. PDF
 D. Farina, A. Mohammadi, T. Adali, N. Thakor, and K. N. Plataniotis, "Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]," IEEE Signal Processing Magazine, vol. 38, no. 4, pp. 57, July 2021, open access. PDF
 T. Adali and A. Ortega, "Scanning the Issue: Applications of Graph Theory," Proc. IEEE, vol. 106, no. 5, pp. 784786, May 2018. PDF
 T. Adali, C. Jutten, and L.K. Hansen, "Scanning the Issue: Special Issue on Multimodal Data Fusion," Proc. IEEE, vol. 103, no. 9, pp. 14451447, Sep. 2015.
 T. Adali, C. Jutten, A. Yeredor, A. Cichocki, and E. Moreau, "Source Separation and Applications [From the Guest Editors]," IEEE Signal Processing Magazine, vol. 31, no. 3, pp. 1617, May 2014.
 T. Adali, J. Wang, V. D. Calhoun, T. Eichele, M. McKeown, D. Van De Ville, "Guest Editorial for Special Section on Multimodal Biomedical Imaging: Algorithms and Applications," IEEE Trans. Multimedia, vol. 15, no. 5, pp. 973974, Aug. 2013.
 K. R. MuĢller, T. Adali, K. Fukumizu, J. Principe, and S. Theodoridis, "Editorial for the Special Issue on Advances in Kernelbased Learning for Signal Processing," IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 1415, July 2013.
 T. Adali, J. Wang, L. K. Hansen, M. McKeown, P. Ciuciu, and V. Calhoun, "Introduction to the Issue on fMRI Analysis for Human Brain Mapping," IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 5, pp. 813816, Dec. 2008.
 T. Adali and V. D. Calhoun, "A Wide Open Window: Our Guest Editors' Introduction to fMRI," IEEE Engineering in Medicine and Biology Magazine, Theme Issue on Functional MRI Analysis, vol. 25, no.2, pp. 2223, March/April 2006.
 D. J. Miller, T. Adali, M. Van Hulle, and J. Larsen, "Guest Editoral," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, pp. 171175, 2004.
 L. Guan, T. Adali, S. Katagiri, J. Larsen, and J. Principe, "Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing," IEEE Transactions on Neural Networks, Special Issue on Intelligent Multimedia Processing, vol. 13, no. 4, pp. 789792, July 2002.
 M. Van Hulle, J. Larsen, and T. Adali, "Guest Editors' Introduction," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, vol. 32, nos. 1/2, pp. 56, Aug.Sep., 2002.
 T. Adali, M. Van Hulle, and M. Niranjan, "Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, vol. 26, nos. 1/2, pp. 56, Aug. 2000.
 T. Adali, "Guest Editor's Introduction: Applications of Neural Networks in Biomedical Image Processing," Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Special Issue on Neural Networks for Signal Processing, vol. 18, no. 3, pp. 203204.
Invention Disclosures and Patents
 Y. Cai, T. Adalı, and C. R. Menyuk, "Error mitigation system using line coding for optical WDM communications," patent no. 7,016,606, issued 2006.
 W. Xi and T. Adalı, “Integrated MAP equalization and turbo product coding for optical fiber communications systems,” patent application, June 21, 2006, application no: 11/471,717.
 B. Wang and T. Adalı, “Method for equalization in multicarrier communication systems,” invention disclosure TRN no. 2318TA, provisional patent filing date 7/14/99, application no. 60/143,640.
 B. Wang and T. Adalı, “Optimized equalizer for multicarrier communication systems,” invention disclosure TRN no. 2319TA, provisional patent filing date 7/14/99, application no. 60/143,641.
 T. Adalı, A. Mishra, and M. K. Sönmez, “Adaptive troubleshooting with Bayesian belief networks,” invention disclosure TRN no. 2304TA, provisional patent filing date 7/12/99, application no. 60/143,997.
Publications in Conference Proceedings (Refereed)
Short Conference Publications (Refereed)
 Y.O. Li, T. Adali and V. D. Calhoun, "A group study of simulated driving fMRI data by multiset canonical correlation analysis," NeuroImage, vol. 47, supplement 1, July 2009, p. S101. N. Correa, Y.O. Li, T. Adali and V. D. Calhoun,
 Investigating associations across fMRI, sMRI, and EEG data for the auditory oddball task using canonical correlation analysis," NeuroImage, vol. 47, supplement 1, July 2009, p. S101.
 J. Sui, YO. Li, T. Adali and V. D. Calhoun, ""A new joint blind source separation model for two datasets and Its application to secondlevel fMRI group analysis," NeuroImage, vol. 47, supplement 1, July 2009, p. S1240.
 J. Sui, T. Adali G. Pearlson, and V. D. Calhoun, "An automatic artifact removal method for independent components derived from secondlevel fMRI analysis," NeuroImage, vol. 47, supplement 1, July 2009, p. S81.
 J. Sui, T. Adali G. Pearlson, and V. D. Calhoun, "Identification of optimal fMRI components using combined groupdiscriminative techniques," NeuroImage, vol. 47, supplement 1, July 2009, p. S135.
 Y. Wang, B. Zhang, S. Roys, N, Correa, T. Adali and R. Gullapalli, "Kinetic parameter estimation of independent components derived from simulated dynamic contrast enhanced breast MRI data ," in Proc. 13th Annual Mtg. Human Brain Mapping, Chicago, IL, June 2007.
 T. Adali and H. Li, "Signal processing with complex nonlinearities," in Proc. Learning Workshop, Snowbird, Utah, April 2005.
 T. Adali "A general framework for learning in the complex domain and its applications," in Proc. Learning Workshop, San Juan, Puerto Rico, March 2007.
 S. Sheriff, D. Lefkowitz, S. Roys, T. Adali and R. Gullapalli, "Novel initialization technique for expectationmaximization based image segmentation: quantification and validation," in Proc. Int. Soc. Magnetic Resonance in Medicine (ISMRM), Toronto, ON, Canada, July 2003.
 R. Arya, V. Calhoun, T. Adali S. Roys, J. Greenspan, and R. Gullapalli, "Comparative study of several multivariate fMRI processing methods: PCA, factor analysis, Infomax, FASTICA, MELODIC," in Proc. ISMRM, Toronto, ON, Canada, July 2003.
 R. Arya, S. Roys, V. Calhoun, T. Adali J. Greenspan, and R. Gullapalli, "Distance measure for ranking spatial ICA components of functional MRI data," in Proc. ISMRM, Toronto, ON, Canada, July 2003. 44
 V. Calhoun, J. Pekar, T. Adali and G. Pearlson, "An fMRI analysis of drivingrelated networks with independent component analysis applied in a betweencondition (BCICA) and withincondition (WCICA) manner," in Proc. ISMRM, Glasgow, Scotland, 2001, p. 668.
 V. Calhoun, J. Pekar, T. Adali and G. Pearlson, "fMRI of visual perception: networks identified by SPM and independent component analysis," in Proc. ISMRM, Glasgow, Scotland, 2001.
 B. Wang, and T. Adali "Frequencydomain approaches for equalizer design for discrete multitone systems," Broadband Access Technologies Workshop, Nortel Networks, Nepean, Ontario, Canada, Apr. 2000.
 Y. Wang, T. Adali CM. Lau, and Z. Szabo, "Quantification of MR brain images by a probabilistic selforganizing map," Radiology (Supplement Issue), Vol. 197 (P), Nov. 1995, p. 252 (summary).
 T. Adali "Nonlinear channel equalization", in Proc. IEEE Signal Processing Workshop, Washington, DC, March 1995 (invited).
 T. Adali B. Bakal, R. Fakory, D. Komo, M. K. Sonmez, and O. Tsaoi, "Dynamic system modeling with neural networks," in Proc. GSE Systems Users Conf., Columbia, MD, Sep. 1994.
Edited Proceedings/Special Issues
 R. Capobianco Guido, T. Adali, E. BjoĢrnson, L. BlancFeraud, U. BragaNeto, B. Ghorani, C. Jutten, A. J. Van Der Veen, H. V. Zhao, and X. Zhu, "IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements, Anniversary Issue," IEEE Signal Processing Magazine, Part 1, vol. 40, no. 4, pp. 36, June 2023, open access. PDF Part 2, vol. 40, no. 5, pp. 811, July 2023, open access. PDF
 T. Adali, R. Capobianco Guido, T.K. Ho, K.R. MuĢller, and S. Strother, "Special Issue on Explainability in Data Science: Interpretability, Reproducibility, and Replicability," IEEE Signal Processing Magazine, vol. 39, no. 4, July 2022.
 D. Farina, A. Mohammadi, T. Adali, N. Thakor, and K. N. Plataniotis, "Special Issue on Signal Processing for Neurorehabilitation and Assistive Technologies," IEEE Signal Processing Magazine, vol. 38, no. 4, July 2021.
 T. Adali and A. Ortega, "Special Issue on Applications of Graph Theory," Proc. IEEE, vol. 106, no. 5, May 2018.
 T. Adali, C. Jutten, and L. K. Hansen, Special Issue on Multimodal Data Fusion, Proc. IEEE, vol. 103, no. 9, Sep. 2015.
 Machine Learning for Signal Processing XIX, Proc. of the 2014 IEEE Workshop, M. Mboup, T. Adali, and E. Moreau (editors), IEEE Press, Piscataway, NJ, 2014.
 Special Issue on Source Separation and Applications, IEEE Signal Processing Magazine, T. Adali, C. Jutten, A. Yeredor, A. Cichocki, and E. Moreau, (guest editors), vol. 31, no. 3, May 2014.
 Special Issue on Advances in Kernelbased Learning for Signal Processing, K. R. MuĢller, T. Adali, K. Fukumizu, J. Principe, and S. Theodoridis, (guest editors) IEEE Signal Processing Magazine, vol. 30, no. 4, July 2013.
 Machine Learning for Signal Processing XIX, Proc. of the 2009 IEEE Workshop, C. Jutten, T. Adali, J. Chanussot, J. Larsen, (editors), IEEE Press, Piscataway, NJ, 2009.
 Independent Component Analysis and Signal Separation: Proc. of the 2009 8th Int. Conf., ICA 2009, Lecture Notes in Computer Science, T. Adali, C. Jutten, J.M. T. Romano, and A. K. Barros, Paraty, Brazil, March 1518, 2009, Springer.
 Machine Learning for Signal Processing XVIII, Proc. of the 2008 IEEE Workshop, J. Principe, D. Erdogmus, T. Adali, J. Larsen, (editors), IEEE Press, Piscataway, NJ, 2008.
 Machine Learning for Signal Processing XVII, Proc. of the 2007 IEEE Workshop, K. Diamantaras, T. Adali, I. Pitas, T. Papadimitriou, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2007.
 Machine Learning for Signal Processing XVI, Proc. of the 2006 IEEE Workshop, S. McLoone, T. Adali, J. Larsen, M. Van Hulle, A. Rogers, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2006.
 IEEE Engineering in Medicine and Biology Magazine, Functional MRI: Our Window onto the Brain, T. Adali, and V. D. Calhoun (editors), vol. 25, no. 2, March/April 2006.
 Machine Learning for Signal Processing XV, Proc. of the 2005 IEEE Workshop, V. D. Calhoun, T. Adali, J. Larsen, D. J. Miller, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2005.
 Machine Learning for Signal Processing XIV, Proc. of the 2004 IEEE Workshop, A. K. Barros, J. Principe, J. Larsen, T. Adali, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2004.
 Double Special Issue: Biomedical and Communications Applications of Neural Networks, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Springer, vol. 37, no. 2/3, June/July 2004. D. J. Miller, T. Adali, J. Larsen, M. Van Hulle (guest editors).
 Neural Networks for Signal Processing XIII, Proc. of the 2003 IEEE Workshop, C. Molina, T. Adali, J. Larsen, M. Van Hulle, S. Douglas, J. Rouat (editors), IEEE Press, Piscataway, NJ, 2003.
 Special Issue on Intelligent Multimedia Processing, IEEE Trans. Neural Networks, vol. 13, no. 4, July 2002, L. Guan, T. Adali, S. Katagiri, J. Larsen, and J. Principe (guest editors). 26
 Neural Networks for Signal Processing XII, Proc. of the 2002 IEEE Workshop, H. Bourlard, T. Adali, J. Larsen, S. Bengio, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2002.
 Special Issue on Neural Networks for Signal Processing, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 32, nos. 1/2, Aug. and Sep. 2002, M. Van Hulle, J. Larsen, and T. Adali, (guest editors).
 NeuralNetworksforSignalProcessingXI,Proc.ofthe2001IEEEWorkshop,D.J.Miller, T. Adali, J. Larsen, M. Van Hulle, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2001.
 Special Issue on Neural Networks for Signal Processing, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 26, nos. 1/2, Aug. 2000, T. Adali, M. Van Hulle, M. Niranjan (guest editors).
 Neural Networks for Signal Processing X, Proc. of the 2000 IEEE Workshop, B. Widrow, L. Guan, K. Paliwa, T. Adali, J. Larsen, E. Wilson, and S. Douglas (editors), IEEE Press, Piscataway, NJ, 2000.
 Special Issue on Applications of Neural Networks in Biomedical Image Processing, Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 18, no. 3, April 1998, T. Adali, (guest editor).