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ORCIDTülay Adali
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- affiliation: University of Maryland, USA
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2020 – today
- 2024
[j153]Isabell Lehmann
, Tanuj Hasija, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. IEEE Access 12: 109443-109456 (2024)- [j152]Caroline P. A. Moraes, Lucas Heck Dos Santos, Denis G. Fantinato, Aline Neves, Tülay Adali:
Independent Vector Analysis for Feature Extraction in Motor Imagery Classification. Sensors 24(16): 5428 (2024) - [j151]Tülay Adali:
An Exciting Juncture for Signal Processing Research: On Building Bridges, Challenges, and Opportunities [From the Editor]. IEEE Signal Process. Mag. 41(1): 3-6 (2024) - [j150]Tülay Adali:
Today's Rapidly Evolving Education Landscape: Challenges and Opportunities [From the Editor]. IEEE Signal Process. Mag. 41(2): 3-5 (2024) - [j149]Tülay Adali:
Volunteer Power Through Noisy Gradients and Self-Organization: What About Pruning? [From the Editor]. IEEE Signal Process. Mag. 41(3): 3-5 (2024) - [j148]Tülay Adali:
Interdisciplinarity: The Clear Path Forward [From the Editor]. IEEE Signal Process. Mag. 41(4): 3-4 (2024) - [j147]Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. IEEE Trans. Biomed. Eng. 71(7): 2189-2200 (2024) - [j146]Trung Vu, Francisco Laport, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis. IEEE Trans. Biomed. Eng. 71(12): 3531-3542 (2024) - [j145]Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Isabell Lehmann, Tülay Adali:
An Efficient Analytic Solution for Joint Blind Source Separation. IEEE Trans. Signal Process. 72: 2436-2449 (2024) - [j144]Václav Kautský, Zbynek Koldovský, Tülay Adali:
Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component from Nonstationary Mixtures - Performance Analysis. IEEE Trans. Signal Process. 72: 3228-3241 (2024) - [j143]Ori Kenig, Koby Todros, Tülay Adali:
Robust Gaussian Mixture Modeling: A $\mathcal{K}$-Divergence Based Approach. IEEE Trans. Signal Process. 72: 3578-3594 (2024) - [c180]Francisco Laport, Adriana Dapena, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool. EUSIPCO 2024: 802-806 - [c179]Chunying Jia, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia. EUSIPCO 2024: 1112-1116 - [c178]Irina Belyaeva, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis. EUSIPCO 2024: 1362-1366 - [c177]Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. ICASSP 2024: 1831-1835 - [c176]Hanlu Yang, Meiby Ortiz-Bouza, Trung Vu, Francisco Laport, Vince D. Calhoun, Selin Aviyente, Tülay Adali:
Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks. ICASSP 2024: 2141-2145 - [c175]Ashkan Faghiri, Armin Iraji, Tülay Adali, Vince D. Calhoun:
Analysis of High-Order Brain Networks Resolved in Time and Frequency Using CP Decomposition. ICASSP 2024: 13346-13350 - [i9]Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Sergey M. Plis, Tülay Adali, Vince D. Calhoun:
Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks. CoRR abs/2410.19774 (2024) - 2023
- [j142]Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics 21(1): 115-141 (2023) - [j141]Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics 21(1): 143 (2023) - [j140]Hanlu Yang, Trung Vu, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Identification of Homogeneous Subgroups from Resting-State fMRI Data. Sensors 23(6): 3264 (2023) - [j139]Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince D. Calhoun, Tülay Adali:
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis. Sensors 23(11): 5333 (2023) - [j138]Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu:
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. IEEE Signal Process. Mag. 40(4): 3-6 (2023) - [j137]Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu:
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. IEEE Signal Process. Mag. 40(5): 8-11 (2023) - [c174]Trung Vu, Francisco Laport, Hanlu Yang, Tülay Adali:
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation. ACSSC 2023: 827-831 - [c173]Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS. ACSSC 2023: 1443-1447 - [c172]Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. ACSSC 2023: 1448-1452 - [c171]Isabell Lehmann, Tülay Adali, Pieter Kruizinga, Borbála Hunyadi:
Deriving 3D Functional Brain Regions from Multi-Slice Functional Ultrasound Data Using ICA and IVA. ACSSC 2023: 1484-1490 - [c170]Zbynek Koldovský, Jaroslav Cmejla, Tülay Adali, Stephen O'Regan:
Independent Vector Extraction Constrained on Manifold of Half-Length Filters. EUSIPCO 2023: 940-944 - [c169]R. A. Borsoi, Isabell Lehmann, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Konstantin Usevich, David Brie, Tülay Adali:
Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion. ICASSP 2023: 1-5 - [c168]Jaroslav Cmejla, Zbynek Koldovský, Václav Kautský, Tülay Adali:
Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean Interference-to-Signal Ratio. ICASSP 2023: 1-5 - [c167]Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali:
A Proximal Approach to IVA-G with Convergence Guarantees. ICASSP 2023: 1-5 - [c166]Ben Gabrielson, Mingyu Sun, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression. ICASSP 2023: 1-5 - [c165]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning. ICASSP 2023: 1-5 - [c164]Ori Kenig, Koby Todros, Tülay Adali:
Robust GMM Parameter Estimation via the K-BM Algorithm. ICASSP 2023: 1-5 - [c163]Mark D. LoPresto, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Fusion of Multi-Modal Neuroimaging Data and Association With Cognitive Data. ICASSP Workshops 2023: 1-5 - [c162]Hanlu Yang, Fateme Ghayem, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data. ICASSP 2023: 1-5 - [c161]Biozid Bostami, Mukesh Dhamala, Tülay Adali, Vince D. Calhoun, Armin Iraji:
Spatial Dynamic Propagation of Network Activity in Resting fMRI Data. ISBI 2023: 1-4 - [c160]Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun:
Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. ISBI 2023: 1-4 - [c159]Armin Iraji, Katarzyna Kazimierczak, Jiayu Chen, Sara Motlaghian, Karsten Specht, Tülay Adali, Vince D. Calhoun:
The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction. ISBI 2023: 1-4 - [c158]Xinhui Li, Tülay Adali, Rogers F. Silva, Vince D. Calhoun:
Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data. ISBI 2023: 1-5 - [i8]Zbynek Koldovský, Jaroslav Cmejla, Tülay Adali, Stephen O'Regan:
Independent Vector Extraction Constrained on Manifold of Half-Length Filters. CoRR abs/2304.01778 (2023) - 2022
- [j136]Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data. Sensors 22(3): 1224 (2022) - [j135]Dingyi Pei, Parthan Olikkal, Tülay Adali, Ramana Vinjamuri:
Dynamical Synergies of Multidigit Hand Prehension. Sensors 22(11): 4177 (2022) - [j134]Dingyi Pei, Parthan Olikkal, Tülay Adali, Ramana Vinjamuri:
Reconstructing Synergy-Based Hand Grasp Kinematics from Electroencephalographic Signals. Sensors 22(14): 5349 (2022) - [j133]Parthan Olikkal, Dingyi Pei, Tülay Adali, Nilanjan Banerjee, Ramana Vinjamuri:
Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand. Sensors 22(19): 7417 (2022) - [j132]Marie Roald, Carla Schenker, Vince D. Calhoun, Tülay Adali, Rasmus Bro, Jeremy E. Cohen, Evrim Acar:
An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. SIAM J. Math. Data Sci. 4(3): 1191-1222 (2022) - [j131]Tülay Adali, Rodrigo Capobianco Guido, Tin Kam Ho, Klaus-Robert Müller, Stephen C. Strother:
Interpretability, Reproducibility, and Replicability [From the Guest Editors]. IEEE Signal Process. Mag. 39(4): 5-7 (2022) - [j130]Tülay Adali, Furkan Kantar, Mohammad Abu Baker Siddique Akhonda, Stephen C. Strother, Vince D. Calhoun, Evrim Acar:
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness. IEEE Signal Process. Mag. 39(4): 8-24 (2022) - [c157]Khondoker Murad Hossain, Suchita Bhinge, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Data-driven spatio-temporal dynamic brain connectivity analysis using fALFF: Application to sensorimotor task data. CISS 2022: 200-205 - [c156]Dingyi Pei, Parthan Olikkal, Tülay Adali, Ramana Vinjamuri:
Dynamical Synergies in Multidigit Hand Prehension. EMBC 2022: 3203-3206 - [c155]Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields. EMBC 2022: 3594-3598 - [c154]Parthan Olikkal, Dingyi Pei, Tülay Adali, Nilanjan Banerjee, Ramana Vinjamuri:
Musculoskeletal Synergies in the Grasping Hand. EMBC 2022: 3649-3652 - [c153]Ashkan Faghiri, Armin Iraji, Marlena Duda, Tülay Adali, Vince D. Calhoun:
A Unified Framework for Modularizing and Comparing Time-Resolved Functional Connectivity Methods. EMBC 2022: 4631-4634 - [c152]Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali:
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. ICASSP 2022: 1466-1470 - [c151]Hanlu Yang, Mohammad A. B. S. Akhonda, Fateme Ghayem, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data. ICASSP 2022: 1471-1475 - [c150]Ashkan Faghiri, Tülay Adali, Vince D. Calhoun:
Single Sideband Modulation as a Tool To Improve Functional Connectivity Estimation. ISBI 2022: 1-4 - [c149]Ashkan Faghiri, Armin Iraji, Noah Lewis, Kun Yang, Koko Ishizuka, Akira Sawa, Tülay Adali, Vince D. Calhoun:
Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI. IVMSP 2022: 1-5 - [i7]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning. CoRR abs/2211.07374 (2022) - [i6]Jaroslav Cmejla, Zbynek Koldovský, Václav Kautský, Tülay Adali:
Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean Interference-to-Signal Ratio. CoRR abs/2212.01178 (2022) - 2021
- [j129]Irina Belyaeva, Suchita Bhinge, Qunfang Long, Tülay Adali:
Taking the 4D Nature of fMRI Data Into Account Promises Significant Gains in Data Completion. IEEE Access 9: 145334-145362 (2021) - [j128]Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
Relationship between Dynamic Blood-Oxygen-Level-Dependent Activity and Functional Network Connectivity: Characterization of Schizophrenia Subgroups. Brain Connect. 11(6): 430-446 (2021) - [j127]Dario Farina, Arash Mohammadi, Tülay Adali, Nitish V. Thakor, Konstantinos N. Plataniotis:
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]. IEEE Signal Process. Mag. 38(4): 5-7 (2021) - [j126]Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis With Application to Multimodal Fusion. IEEE Trans. Image Process. 30: 588-602 (2021) - [c148]Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas:
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. DS 2021: 422-432 - [c147]Dingyi Pei, Tülay Adali, Ramana Vinjamuri:
Generalizability of Hand Kinematic Synergies derived using Independent Component Analysis. EMBC 2021: 621-624 - [c146]Eswar Damaraju, Rogers F. Silva, Tülay Adali, Vince D. Calhoun:
A multimodal IVA fusion approach to identify linked neuroimaging markers. EMBC 2021: 3928-3932 - [c145]Lucas P. Damasceno, Charles C. Cavalcante, Tülay Adali, Zois Boukouvalas:
Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization. ICASSP 2021: 3715-3719 - [c144]Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali:
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm. ICASSP 2021: 3720-3724 - 2020
- [j125]Ben Gabrielson, Mohammad A. B. S. Akhonda, Suchita Bhinge, Justin Brooks, Qunfang Long, Tülay Adali:
Joint-IVA for identification of discriminating features in EEG: Application to a driving study. Biomed. Signal Process. Control. 61: 101948 (2020) - [j124]Suchita Bhinge, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Adaptive Constrained Independent Vector Analysis: An Effective Solution for Analysis of Large-Scale Medical Imaging Data. IEEE J. Sel. Top. Signal Process. 14(6): 1255-1264 (2020) - [j123]Rui Jin, Krishna Dontaraju, Seung-Jun Kim, Mohammad Abu Baker Siddique Akhonda, Tülay Adali:
Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps. IEEE J. Sel. Top. Signal Process. 14(6): 1265-1279 (2020) - [j122]Rami Mowakeaa, Zois Boukouvalas, Qunfang Long, Tülay Adali:
IVA using complex multivariate GGD: application to fMRI analysis. Multidimens. Syst. Signal Process. 31(2): 725-744 (2020) - [j121]Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia. NeuroImage 216: 116872 (2020) - [j120]Václav Kautský, Petr Tichavský, Zbynek Koldovský, Tülay Adali:
Performance Bounds for Complex-Valued Independent Vector Analysis. IEEE Trans. Signal Process. 68: 4258-4267 (2020) - [c143]Zhongqiang Luo, Qunfang Long, Suchita Bhinge, Mohammad A. B. S. Akhonda, Tülay Adali:
Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion. EMBC 2020: 1683-1686 - [c142]Irina Belyaeva, Qunfang Long, Tülay Adali:
Inexact Proximal Conjugate Subgradient Algorithm for fMRI Data Completion. EUSIPCO 2020: 1025-1029 - [c141]Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using The Parafac2 Model. ICASSP 2020: 1100-1104 - [i5]Zois Boukouvalas, Christine Mallinson, Evan Crothers, Nathalie Japkowicz, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tülay Adali:
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19. CoRR abs/2006.01284 (2020)
2010 – 2019
- 2019
- [j119]Alexander von Lühmann, Zois Boukouvalas, Klaus-Robert Müller, Tülay Adali:
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy. NeuroImage 200: 72-88 (2019) - [j118]Suchita Bhinge, Rami Mowakeaa, Vince D. Calhoun, Tülay Adali:
Extraction of Time-Varying Spatiotemporal Networks Using Parameter-Tuned Constrained IVA. IEEE Trans. Medical Imaging 38(7): 1715-1725 (2019) - [j117]Wei Du, Ronald Phlypo, Tülay Adali:
Adaptive Feature Selection and Feature Fusion for Semi-supervised Classification. J. Signal Process. Syst. 91(5): 521-537 (2019) - [c140]Mohammad A. B. S. Akhonda, Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data. CISS 2019: 1-6 - [c139]Chunying Jia, Mohammad A. B. S. Akhonda, Qunfang Long, Vince D. Calhoun, Shari Waldstein, Tülay Adali:
C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data. CISS 2019: 1-5 - [i4]Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using the PARAFAC2 Model. CoRR abs/1911.02926 (2019) - [i3]Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. CoRR abs/1911.04048 (2019) - 2018
- [j116]Zois Boukouvalas, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis. J. Frankl. Inst. 355(4): 1873-1887 (2018) - [j115]Tülay Adali, Antonio Ortega:
Applications of Graph Theory. Proc. IEEE 106(5): 784-786 (2018) - [j114]Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun:
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proc. IEEE 106(5): 886-906 (2018) - [j113]Tülay Adali, H. Joel Trussell, Lars Kai Hansen, Vince D. Calhoun:
The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails. Proc. IEEE 106(6): 1014-1018 (2018) - [j112]Asif Iqbal, Abd-Krim Seghouane, Tülay Adali:
Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis. IEEE Trans. Biomed. Eng. 65(11): 2519-2528 (2018) - [c138]Krishna Dontaraju, Seung-Jun Kim, Mohammad A. B. S. Akhonda, Tülay Adali:
Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning. ACSSC 2018: 1351-1356 - [c137]Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
IVA-Based Spatio-Temporal Dynamic Connectivity Analysis in Large-Scale FMRI Data. ICASSP 2018: 965-969 - [c136]Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data. ICASSP 2018: 2311-2315 - [c135]Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup:
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. ICASSP 2018: 2566-2570 - [c134]Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali:
Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis. ICASSP 2018: 2581-2585 - [c133]Xiaowei Song, Suchita Bhinge, Raimi Quiton, Tülay Adali:
A two-level ICA approach reveals important differences in the female brain response to thermal pain. ISBI 2018: 1377-1380 - [c132]Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali:
Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization. SSP 2018: 403-407 - 2017
- [j111]Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia. IEEE Trans. Medical Imaging 36(7): 1385-1395 (2017) - [j110]Hualiang Li, Tülay Adali, Wei Wang, Darren Emge, Andrzej Cichocki:
Erratum: Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy. J. Signal Process. Syst. 88(3): 469 (2017) - [c131]Suchita Bhinge, Yuri Levin-Schwartz, Tülay Adali:
Estimation of common subspace order across multiple datasets: Application to multi-subject fMRI data. CISS 2017: 1-5 - [c130]Darren Emge, Zois Boukouvalas, Yuri Levin-Schwartz, Suchita Bhinge, Qunfang Long, Tülay Adali:
Power spectra constrained IVA for enhanced detection of SSVEP content. CISS 2017: 1-5 - [c129]Qunfang Long, Suchita Bhinge, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
A graph theoretical approach for performance comparison of ICA for fMRI analysis. CISS 2017: 1-6 - [c128]Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers. EUSIPCO 2017: 643-647 - [c127]Yuri Levin-Schwartz, Dennis R. Sparta, Joseph F. Cheer, Tülay Adali:
Parameter-free automated extraction of neuronal signals from calcium imaging data. ICASSP 2017: 1033-1037 - [c126]