| 2026 | ICPR | Learning Cognitive-Aware Representations for Imaging-Based Diagnosis of Alzheimer's Disease. | Huan Yu, Yanteng Zhang, Yuxiang Wei, Yibing Fu, Siyuan Mei, Qiang Liu, Vince D. Calhoun |
| 2026 | WACV | 4D Multimodal Co-attention Fusion Network with Latent Contrastive Alignment for Alzheimer's Diagnosis. | Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun |
| 2025 | ACSSC | A Hybrid K-means Clustering Algorithm for Interaction Optimization Reveals Imaging/Genomic Subtypes of Alzheimer's Disease. | Jiayu Chen, Armin Iraji, Youngjo Song, Rogers F. Silva, Jingyu Liu, Vince D. Calhoun |
| 2025 | AVSS | Brain region-based attention network for Alzheimer's disease detection from multimodal imaging. | Xupeng Kou, Yanteng Zhang, Zibo Zhao, Anees Abrol, Vince D. Calhoun |
| 2025 | AVSS | Improved Transformer Attention Neural Network for Cognitive Estimation from Brain sMRI. | Yanteng Zhang, Songheng Li, Congyu Zou, Qiang Liu, Vince D. Calhoun |
| 2025 | BIBE | A Mixed Deep Neural Network for sMRI and fMR Features Fusion in AD Detection. | Yanteng Zhang, Yuxiang Wei, Yizhuo He, Anees Abrol, Vince D. Calhoun |
| 2025 | CISS | Grassmannian Kernels for Efficient and Effective Detection of Group Differences in fMRI Data. | Ashfia Binte Habib, Ben Gabrielson, Hanlu Yang, Vince D. Calhoun, Tlay Adali |
| 2025 | CISS | Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI Data. | Chunying Jia, Weixin Wang, Trung Vu, Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tlay Adali |
| 2025 | CISS | Fusion of Multitask fMRI Data with Constrained Independent Vector Analysis. | Emin Erdem Kumbasar, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tlay Adali |
| 2025 | ICASSP | Reference-Guided Parallel Independent Component Analysis: Estimating Cognition Associated Multimodal Patterns In Schizophrenia. | Jingxian Hu, Chuang Liang, Tlay Adali, Qi Zhu, Daoqiang Zhang, Rongtao Jiang, Vince D. Calhoun, Shile Qi |
| 2025 | ICASSP | Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. | Yixin Ji, Vince D. Calhoun, Rongtao Jiang, Daoqiang Zhang, Shile Qi |
| 2025 | ICASSP | Cooperative and Competitive Functional Connectivity Based on Improved Ising Model. | Gengqian Wei, Chuang Liang, Tlay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, Shile Qi |
| 2025 | ICASSP | Low-Rank Tucker Decomposition of Multi-Subject Complex-Valued fMRI Data. | Bin-Hua Zhao, Qiu-Hua Lin, Yue Han, Jia-Yang Song, Yan-Wei Niu, Vince D. Calhoun |
| 2025 | ICIP | Group Joint Independent Component Analysis (Group jICA): a Novel Method to Jointly Decompose and Link Simultaneous EEG and fMRI. | Souvik Phadikar, Oktay Agcaoglu, Vince D. Calhoun |
| 2025 | ICONIP | SFINe: Structural-Functional Individual Brain Network Modeling Integrating Group-Level Characteristics. | Zixin Huang, Chunzhi Zhao, Tlay Adali, Gengqian Wei, Vince D. Calhoun, Shile Qi |
| 2025 | MICCAI | A Model Order-Free Method for Stable States Extraction in Dynamic Functional Connectivity. | Songke Fang, Vince D. Calhoun, Godfrey D. Pearlson, Peter V. Kochunov, Theo G. M. van Erp, Yuhui Du |
| 2025 | MICCAI | Multi-subject Orthogonal Sparse Matrix Decomposition Method for Extracting Individual Brain Functional Networks. | Xingyu He, Vince D. Calhoun, Theo G. M. van Erp, Yuhui Du |
| 2025 | MICCAI | GM-LDM: Latent Diffusion Guided by Functional Connectivity for Gray-Matter Generation and Biomarker Identification. | Xu Hu, Jingling Yang, Wenjun Xiao, Sihan Jia, Yutong Gao, Zening Fu, Vince D. Calhoun, Yuda Bi |
| 2025 | MICCAI | Joint Task Network for Integrating Cognitive Scores and Image Feature in AD Diagnosis. | Yanteng Zhang, Songheng Li, Yi Wu, Chuanyi Zhang, Congyu Zou, Vince D. Calhoun |
| 2025 | RECOMB | Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis. | Yuxiang Wei, Anees Abrol, Vince D. Calhoun |
| 2024 | ACSSC | Improved Dictionary Learning for FMRI Data Analysis Capturing Common and Individual Activation Maps. | Shuai Xu, Rui Jin, Seung-Jun Kim, Tlay Adali, Vince D. Calhoun |
| 2024 | BMVC | Spatiotemporal Vision Transformer for Weakly Supervised Dense Prediction of Dynamic Brain Maps. | Behnam Kazemivash, Armin Iraji, Sergey M. Plis, Vince D. Calhoun |
| 2024 | CISS | A Novel Deep Subspace Learning Framework to Automatically Uncover Assessment-Specific Independent Brain Networks. | Ishaan Batta, Anees Abrol, Vince D. Calhoun |
| 2024 | CVPR | A Deep Biclustering Framework for Brain Network Analysis. | Md Abdur Rahaman, Zening Fu, Armin Iraji, Vince D. Calhoun |
| 2024 | ICASSP | Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. | Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun |
| 2024 | ICASSP | Analysis of High-Order Brain Networks Resolved in Time and Frequency Using CP Decomposition. | Ashkan Faghiri, Armin Iraji, Tlay Adali, Vince D. Calhoun |
| 2024 | ICASSP | Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence. | Ram Sapkota, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu |
| 2024 | ICASSP | A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. | Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tlay Adali |
| 2024 | ICASSP | Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks. | Hanlu Yang, Meiby Ortiz-Bouza, Trung Vu, Francisco Laport, Vince D. Calhoun, Selin Aviyente, Tlay Adali |
| 2024 | MICCAI | Physics-Guided Multi-view Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling. | Badhan Mazumder, Ayush Kanyal, Lei Wu, Vince D. Calhoun, Dong Hye Ye |
| 2023 | ACSSC | REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS. | Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tlay Adali |
| 2023 | ACSSC | Flexible Multisubject Multiset FMRI Data Analysis Using Robust Discriminative Dictionary Learning. | Rui Jin, Shuai Xu, Seung-Jun Kim, Vince D. Calhoun |
| 2023 | ACSSC | Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. | Francisco Laport, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tlay Adali |
| 2023 | BIBE | An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-Based Schizophrenia Diagnosis. | Abhinav Sattiraju, Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun |
| 2023 | ICASSP | Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion. | R. A. Borsoi, Isabell Lehmann, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Konstantin Usevich, David Brie, Tlay Adali |
| 2023 | ICASSP | Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. | Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun |
| 2023 | ICASSP | Novel Approach Explains Spatio-Spectral Interactions In Raw Electroencephalogram Deep Learning Classifiers. | Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun |
| 2023 | ICASSP | Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression. | Ben Gabrielson, Mingyu Sun, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tlay Adali |
| 2023 | ICASSP | New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning. | Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tlay Adali |
| 2023 | ICASSP | Multi-Modal Deep Learning on Imaging Genetics for Schizophrenia Classification. | Ayush Kanyal, Srinivas Kandula, Vince D. Calhoun, Dong Hye Ye |
| 2023 | ICASSP | Higher-Order Organization in the Human Brain From Matrix-Based Rnyi's Entropy. | Qiang Li, Shujian Yu, Kristoffer H. Madsen, Vince D. Calhoun, Armin Iraji |
| 2023 | ICASSP | Fusion of Multi-Modal Neuroimaging Data and Association With Cognitive Data. | Mark D. LoPresto, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tlay Adali |
| 2023 | ICASSP | Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging. | Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis |
| 2023 | ICASSP | Local Spatial Flow Strengths in Bold FMRI are Strongly Impacted by Schizophrenia. | Robyn L. Miller, Victor M. Vergara, Helen Petropoulos, Vince D. Calhoun |
| 2023 | ICASSP | Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data. | Hanlu Yang, Fateme Ghayem, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tlay Adali |
| 2023 | ICIAP | A Multi-dimensional Joint ICA Model with Gaussian Copula. | Oktay Agcaoglu, Rogers F. Silva, Deniz Alaam, Vince D. Calhoun |
| 2023 | ICONIP | Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia. | Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Ying-Guang Hao, Wei-Xing Li, Xiao-Feng Gong, Vince D. Calhoun |
| 2022 | BIBE | A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. | Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun |
| 2022 | BIBE | An Approach for Estimating Explanation Uncertainty in fMRI dFNC Classification. | Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun |
| 2022 | BIBE | Examining Effects of Schizophrenia on EEG with Explainable Deep Learning Models. | Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun |
| 2022 | BIBE | Examining Reproducibility of EEG Schizophrenia Biomarkers Across Explainable Machine Learning Models. | Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun |
| 2022 | BIBE | Exploring Relationships between Functional Network Connectivity and Cognition with an Explainable Clustering Approach. | Charles A. Ellis, Martina Lapera Sancho, Mohammad S. Eslampanah Sendi, Robyn L. Miller, Vince D. Calhoun |
| 2022 | CISS | Data-driven spatio-temporal dynamic brain connectivity analysis using fALFF: Application to sensorimotor task data. | Khondoker Murad Hossain, Suchita Bhinge, Qunfang Long, Vince D. Calhoun, Tlay Adali |
| 2022 | ICASSP | An Accelerated Rank-(L, L, 1, 1) Block Term Decomposition Of Multi-Subject Fmri Data Under Spatial Orthonormality Constraint. | Li-Dan Kuang, Biao Wang, Qiu-Hua Lin, Haopeng Zhang, Jianming Zhang, Wenjun Li, Feng Li, Vince D. Calhoun |
| 2022 | ICASSP | Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. | Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tlay Adali |
| 2022 | ICASSP | Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data. | Hanlu Yang, Mohammad A. B. S. Akhonda, Fateme Ghayem, Qunfang Long, Vince D. Calhoun, Tlay Adali |
| 2022 | ICIP | Explainable AI (XAI) In Biomedical Signal and Image Processing: Promises and Challenges. | Guang Yang, Arvind Rao, Christine Fernandez-Maloigne, Vince D. Calhoun, Gloria Menegaz |
| 2022 | ICIP | Deep Learning From Imaging Genetics for Schizophrenia Classification. | Hongkun Yu, Thomas Florian, Vince D. Calhoun, Dong Hye Ye |
| 2022 | IJCNN | Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. | Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis |
| 2022 | IJCNN | Refacing Defaced MRI with PixelCNN. | Yaorong Xiao, William Ashbee, Vince D. Calhoun, Sergey M. Plis |
| 2021 | BIBE | Harmonization of Multi-site Dynamic Functional Connectivity Network Data. | Biozid Bostami, Vince D. Calhoun, Harm J. van der Horn, Victor M. Vergara |
| 2021 | BIBE | Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. | Thomas DeRamus, Armin Iraji, Zening Fu, Rogers F. Silva, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang, Yuhui Du, Jingyu Liu, Vince D. Calhoun |
| 2021 | BIBE | A Novel Local Explainability Approach for Spectral Insight into Raw EEG-based Deep Learning Classifiers. | Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun |
| 2021 | BIBE | A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. | Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang |
| 2021 | BIBE | A Novel Local Ablation Approach for Explaining Multimodal Classifiers. | Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller |
| 2021 | BIBE | Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders. | Mustafa S. Salman, Eric Verner, Henry Jeremy Bockholt, Zening Fu, Vince D. Calhoun |
| 2021 | ICASSP | Tucker Decomposition for Extracting Shared and Individual Spatial Maps from Multi-Subject Resting-State fMRI Data. | Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2021 | ICASSP | Sparse Representation of Complex-Valued fMRI Data Based on Hard Thresholding of Spatial Source Phase. | Jia-Yang Song, Miao-Ying Qi, Dun-Pei Lv, Chao-Ying Zhang, Qiu-Hua Lin, Vince D. Calhoun |
| 2021 | ICONIP | Marginal Spectrum Modulated Hilbert-Huang Transform: Application to Time Courses Extracted by Independent Vector Analysis of Resting-State fMRI Data. | Wei-Xing Li, Chao-Ying Zhang, Li-Dan Kuang, Yue Han, Huan-Jie Li, Qiu-Hua Lin, Vince D. Calhoun |
| 2021 | IJCNN | Fusion of Multiple Spatial Networks Derived from Complex-Valued fMRI Data via CNN Classification. | Yan-Wei Niu, Chao-Ying Zhang, Yue Qiu, Qiu-Hua Lin, Jing Sui, Vince D. Calhoun |
| 2020 | BIBE | Varying Information Complexity in Functional Domain Interactions in Schizophrenia. | Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun |
| 2020 | BIBE | Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia. | Haleh Falakshahi, Hooman Rokham, Zening Fu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Armin Iraji, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun |
| 2020 | BIBE | Individualized Prediction of Brain Network Interactions using Deep Siamese Networks. | Reihaneh Hassanzadeh, Vince D. Calhoun |
| 2020 | BIBE | BPARC: A novel spatio-temporal (4D) data-driven brain parcellation scheme based on deep residual networks. | Behnam Kazemivash, Vince D. Calhoun |
| 2020 | BIBE | Visualizing functional network connectivity difference between middle adult and older subjects using an explainable machine-learning method. | Mohammad S. Eslampanah Sendi, Ji Ye Chun, Vince D. Calhoun |
| 2020 | ICASSP | Tracing Network Evolution Using The Parafac2 Model. | Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tlay Adali, Evrim Acar |
| 2020 | MICCAI | Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. | Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis |
| 2019 | CISS | Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data. | Mohammad A. B. S. Akhonda, Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tlay Adali |
| 2019 | CISS | C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data. | Chunying Jia, Mohammad A. B. S. Akhonda, Qunfang Long, Vince D. Calhoun, Shari Waldstein, Tlay Adali |
| 2019 | ISNN | Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. | Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wenda Zhao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2018 | ACSSC | Weak Mutual Information Between Functional Domains in Schizophrenia. | Mustafa S. Salman, Victor M. Vergara, Eswar Damaraju, Vince D. Calhoun |
| 2018 | ICASSP | Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data. | Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Suchita Bhinge, Vince D. Calhoun, Tlay Adali |
| 2018 | ICASSP | IVA-Based Spatio-Temporal Dynamic Connectivity Analysis in Large-Scale FMRI Data. | Suchita Bhinge, Vince D. Calhoun, Tlay Adali |
| 2018 | ICASSP | Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. | Sren Fns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tlay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mrup |
| 2018 | MICCAI | Multi-modal Brain Connectivity Study Using Deep Collaborative Learning. | Wenxing Hu, Biao Cai, Vince D. Calhoun, Yu-Ping Wang |
| 2017 | ACSSC | Brain language: Uncovering functional connectivity codes. | Victor M. Vergara, Vince D. Calhoun |
| 2017 | CISS | A graph theoretical approach for performance comparison of ICA for fMRI analysis. | Qunfang Long, Suchita Bhinge, Yuri Levin-Schwartz, Vince D. Calhoun, Tlay Adali |
| 2017 | ICASSP | Non-orthogonal constrained independent vector analysis: Application to data fusion. | Suchita Bhinge, Qunfang Long, Yuri Levin-Schwartz, Zois Boukouvalas, Vince D. Calhoun, Tlay Adali |
| 2017 | ICASSP | A deep-learning approach to translate between brain structure and functional connectivity. | Vince D. Calhoun, Md Faijul Amin, R. Devon Hjelm, Eswar Damaraju, Sergey M. Plis |
| 2017 | ICASSP | Flexible large-scale fMRI analysis: A survey. | Seung-Jun Kim, Vince D. Calhoun, Tlay Adali |
| 2017 | ICASSP | Post-ICA phase de-noising for resting-state complex-valued FMRI data. | Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2017 | ICASSP | Two models for fusion of medical imaging data: Comparison and connections. | Yuri Levin-Schwartz, Vince D. Calhoun, Tlay Adali |
| 2017 | ICASSP | Identifying FMRI dynamic connectivity states using affinity propagation clustering method: Application to schizophrenia. | Mustafa S. Salman, Yuhui Du, Vince D. Calhoun |
| 2017 | ICASSP | Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization. | Min Wang, Ting-Zhu Huang, Vince D. Calhoun, Jian Fang, Yu-Ping Wang |
| 2017 | ICASSP | Decentralized independent vector analysis. | Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis |
| 2017 | ICASSP | Fused estimation of sparse connectivity patterns from rest fMRI. | Pascal Zille, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang |
| 2017 | IJCAI | See without looking: joint visualization of sensitive multi-site datasets. | Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta, Sergey M. Plis |
| 2017 | IJCNN | End-to-end learning of brain tissue segmentation from imperfect labeling. | Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis |
| 2017 | IJCNN | Cooperative learning: Decentralized data neural network. | Noah Lewis, Sergey M. Plis, Vince D. Calhoun |
| 2017 | ISCAS | Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia. | Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tlay Adali |
| 2017 | ISNN | Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data. | Ce Zhang, Qiu-Hua Lin, Chao-Ying Zhang, Ying-Guang Hao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2017 | PSB | Enforcing Co-expression in Multimodal Regression Framework. | Pascal Zille, Vince D. Calhoun, Yu-Ping Wang |
| 2016 | CISS | Privacy-preserving source separation for distributed data using independent component analysis. | Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun |
| 2016 | ICASSP | An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data. | Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun |
| 2016 | ICASSP | Time-varying frequency modes of resting fMRI brain networks reveal significant gender differences. | Maziar Yaesoubi, Robyn L. Miller, Tlay Adali, Vince D. Calhoun |
| 2015 | ICIP | Sensory load hierarchy-based classification of schizophrenia patients. | Mustafa S. etin, Julia M. Stephen, Vince D. Calhoun |
| 2015 | SDM | Shapelet Ensemble for Multi-dimensional Time Series. | Mustafa S. etin, Abdullah Mueen, Vince D. Calhoun |
| 2014 | CISS | Data-driven fusion of EEG, functional and structural MRI: A comparison of two models. | Yuri Levin-Schwartz, Vince D. Calhoun, Tlay Adali |
| 2014 | ICASSP | Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. | Partha Pratim Acharjee, Ronald Phlypo, Lei Wu, Vince D. Calhoun, Tlay Adali |
| 2014 | ICASSP | A novel approach for assessing reliability of ICA for FMRI analysis. | Wei Du, Sai Ma, Gengshen Fu, Vince D. Calhoun, Tlay Adali |
| 2014 | ICIP | Performance of complex-valued ICA algorithms for fMRI analysis: Importance of taking full diversity into account. | Wei Du, Gengshen Fu, Vince D. Calhoun, Tlay Adali |
| 2014 | ICIP | Multidataset independent subspace analysis extends independent vector analysis. | Rogers F. Silva, Sergey M. Plis, Tlay Adali, Vince D. Calhoun |
| 2013 | ICASSP | Capturing group variability using IVA: A simulation study and graph-theoretical analysis. | Sai Ma, Ronald Phlypo, Vince D. Calhoun, Tlay Adali |
| 2011 | ICASSP | Deconvolution of neuronal signal from hemodynamic response. | Martin Havlicek, Jir Jan, Milan Brazdil, Vince D. Calhoun |
| 2011 | IJCNN | Sparseness and a reduction from Totally Nonnegative Least Squares to SVM. | Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, Thomas P. Hayes |
| 2010 | ICASSP | Fusion of concurrent single trial EEG data and fMRI data using multi-set canonical correlation analysis. | Nicolle M. Correa, Tom Eichele, Tlay Adali, Yi-Ou Li, Vince D. Calhoun |
| 2010 | ICASSP | Flexible complex ICA of fMRI data. | Hualiang Li, Tlay Adali, Nicolle M. Correa, Pedro A. Rodriguez, Vince D. Calhoun |
| 2010 | ICASSP | Independent subspace analysis with prior information for fMRI data. | Sai Ma, Xi-Lin Li, Nicolle M. Correa, Tlay Adali, Vince D. Calhoun |
| 2010 | ICASSP | Phase correction and denoising for ICA of complex FMRI data. | Pedro Rodriguez, Tlay Adali, Hualiang Li, Nicolle M. Correa, Vince D. Calhoun |
| 2010 | ICDM | Permutations as Angular Data: Efficient Inference in Factorial Spaces. | Sergey M. Plis, Terran Lane, Vince D. Calhoun |
| 2009 | ICASSP | Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis. | Nicolle M. Correa, Yi-Ou Li, Tlay Adali, Vince D. Calhoun |
| 2008 | ACSSC | Session TP2: Analysis methods for functional and structural brain imaging. | Vince D. Calhoun |
| 2008 | ACSSC | Optimal sampling geometries for TV-norm reconstruction of fMRI data. | Oliver M. Jeromin, Vince D. Calhoun, Marios S. Pattichis |
| 2008 | ACSSC | Exploration of the optimal group-discriminating features using CC-ICA. | Jing Sui, Vince D. Calhoun |
| 2008 | ICASSP | Extracting principle components for discriminant analysis of FMRI images. | Jingyu Liu, Lai Xu, Arvind Caprihan, Vince D. Calhoun |
| 2008 | ICASSP | CCA for joint blind source separation of multiple datasets with application to group FMRI analysis. | Yi-Ou Li, Wei Wang, Tlay Adali, Vince D. Calhoun |
| 2008 | ICASSP | A constrained coefficient ica algorithm for group difference enhancement. | Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai Xu, Tlay Adali, Vince D. Calhoun |
| 2008 | ICASSP | On ICA of complex-valued fMRI: Advantages and order selection. | Wei Xiong, Yi-Ou Li, Hualiang Li, Tlay Adali, Vince D. Calhoun |
| 2008 | ICASSP | Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls. | Lai Xu, Jingyu Liu, Tlay Adali, Vince D. Calhoun |
| 2008 | ISCAS | Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia. | Vamsi K. Potluru, Vince D. Calhoun |
| 2006 | ICASSP | Fusion of Multisubject Hemodynamic and Event-Related Potential Data Using Independent Component Analysis. | Vince D. Calhoun, Tlay Adali |
| 2005 | ICASSP | Comparison of blind source separation algorithms for FMRI using a new Matlab toolbox: GIFT. | Nicolle M. Correa, Tlay Adali, Yi-Ou Li, Vince D. Calhoun |
| 2005 | ICASSP | Feature-selective ICA and its convergence properties. | Yi-Ou Li, Tlay Adali, Vince D. Calhoun |
| 2005 | ICIP | Bayesian blind source separation for brain imaging. | Hicham Snoussi, Vince D. Calhoun |
| 2004 | ICASSP | Independent component analysis by complex nonlinearities. | Tlay Adali, Taehwan Kim, Vince D. Calhoun |
| 2003 | ICASSP | Complex ICA for fMRI analysis: performance of several approaches. | Vince D. Calhoun, Tlay Adali |
| 2002 | ICASSP | On complex infomax applied to functional MRI data. | Vince D. Calhoun, Tlay Adali, Godfrey D. Pearlson, James J. Pekar |