Jingyu Liu - RankMe

85 papers B 1C 1Misc 4Journal 45Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional. CoRR Qiang Li, Shujian Yu, Liang Ma, Chen Ma, Jingyu Liu, Tülay Adali, Vince D. Calhoun
2026	J	`jnl`	SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning. Trans. Mach. Learn. Res. Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
2025	—	`conf`	A Hybrid K-means Clustering Algorithm for Interaction Optimization Reveals Imaging/Genomic Subtypes of Alzheimer's Disease. IEEECONF Jiayu Chen, Armin Iraji, Youngjo Song, Rogers F. Silva, Jingyu Liu, Vince D. Calhoun
2025	J	`jnl`	Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Anal. Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu
2025	J	`jnl`	Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion. CoRR Sepehr Salem, M. Moein Esfahani, Jingyu Liu, Vince D. Calhoun
2025	—	`conf`	Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks. ISBI Qiang Li, Jingyu Liu, Vince D. Calhoun
2025	J	`jnl`	DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. Medical Image Anal. Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu
2025	—	`conf`	Linking Multi-Scale Brain Connectivity with Vigilance, Working Memory, and Behavior in Adolescents. ISBI Prerana Bajracharya, Ram Ballem, Jiayu Chen, Pablo Andrés-Camazón, Nigar Khasayeva, Vince D. Calhoun, Jingyu Liu, Armin Iraji
2025	J	`jnl`	Linking brain entropy to molecular and cellular architecture in psychosis. NeuroImage Qiang Li, Jingyu Liu, Vince D. Calhoun
2025	J	`jnl`	Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder. Inf. Ram Sapkota, Bishal Thapaliya, Bhaskar Ray, Pranav Suresh, Jingyu Liu
2025	—	`conf`	Predictive Modeling of Mood Using Functional Network Connectivity: Differential Impacts in Exercise + Smart and Control Groups. ISBI Meenu Ajith, Dawn M. Aycock, Erin B. Tone, Jingyu Liu, Maria B. Misiura, Rebecca Ellis, Sergey M. Plis, Tricia Z. King, Vonetta M. Dotson, Vince D. Calhoun
2025	—	`conf`	SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity. ISBI Bishal Thapaliya, Esra Akbas, Ram Sapkota, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu
2025	J	`jnl`	Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity. CoRR Bishal Thapaliya, Esra Akbas, Ram Sapkota, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu
2024	J	`jnl`	A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connect. Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Vince D. Calhoun
2024	—	`conf`	Brain community detection in the general children population. EMBC Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu
2024	J	`jnl`	DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks. CoRR Bishal Thapaliya, Robyn L. Miller, Jiayu Chen, Yu-Ping Wang, Esra Akbas, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu
2024	J	`jnl`	ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification. CoRR Bishal Thapaliya, Anh Nguyen, Yao Lu, Tian Xie, Igor Grudetskyi, Fudong Lin, Antonios Valkanas, Jingyu Liu, Deepayan Chakraborty, Bilel Fehri
2024	J	`jnl`	Efficient federated learning for distributed neuroimaging data. Frontiers Neuroinformatics Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
2024	—	`conf`	Graph-based deep learning models in the prediction of early-stage Alzheimers. EMBC Bishal Thapaliya, Zundong Wu, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Santosh Ghimire, Vince D. Calhoun, Jingyu Liu
2024	—	`conf`	Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory. BHI Pranav Nadigapu Suresh, Behnam Kazemivash, Dawn M. Jensen, Vince D. Calhoun, Jingyu Liu
2024	J	`jnl`	Inter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N∼8K) Analysis. IEEE Trans. Biomed. Eng. Aline Kotoski, Jingyu Liu, Robin Morris, Vince D. Calhoun
2024	Misc	`conf`	Multimodal Imaging Feature Extraction with Reference Canonical Correlation Analysis Underlying Intelligence. ICASSP Ram Sapkota, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu
2024	—	`conf`	Replication and Refinement of Brain Age Model for Adolescent Development. ISBI Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu
2024	—	`conf`	Scepter: Weakly Supervised Framework for Spatiotemporal Dense Prediction of 4D Dynamic Brain Networks. EMBC Behnam Kazemivash, Pranav Suresh, Jingyu Liu, Dong Hye Ye, Vince D. Calhoun
2024	J	`jnl`	Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. CoRR Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
2023	—	`conf`	Any-Way Independent Component Analysis with Reference. ISBI Kuaikuai Duan, Rogers F. Silva, Jingyu Liu, Oktay Agcaoglu, Vince D. Calhoun
2023	J	`jnl`	Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data. CoRR Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu
2023	—	`conf`	Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. ISBI Armin Iraji, Jiayu Chen, Ashkan Faghiri, Zening Fu, Jingyu Liu, Juan R. Bustillo, Tülay Adali, Mukesh Dhamala, Vince D. Calhoun
2023	—	`conf`	Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. EMBC Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu
2023	J	`jnl`	Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease. Brain Connect. Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Jingyu Liu, Yuhui Du, Elizabeth Mormino, David H. Salat, Vince D. Calhoun, Robyn L. Miller
2023	—	`conf`	Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. ISBI Pranav Suresh, Bhaskar Ray, Bishal Thapaliya, Britny Farahdel, Behnam Kazemivash, Jiayu Chen, Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu
2023	J	`jnl`	SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. CoRR Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
2022	J	`jnl`	Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun
2022	—	`conf`	Functional Connectivity Stability: A Signature of Neurocognitive Development and Psychiatric Problems in Children. EMBC Zening Fu, Mustafa S. Salman, Jingyu Liu, Vince D. Calhoun
2021	J	`jnl`	A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study. IEEE Trans. Medical Imaging Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2021	—	`conf`	Confirmatory Factor Analysis on Mental Health Status using ABCD Cohort. BIBM Britny Farahdel, Bishal Thapaliya, Pranav Suresh, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu
2021	—	`conf`	Environmental and genome-wide association study on children anxiety and depression. BIBM Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu
2021	—	`conf`	Evaluating the Neuroimaging-Genetic Prediction of Symptom Changes in Individuals with ADHD. EMBC Pranav Suresh, Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Gido Schoenmacker, Barbara Franke, Jan K. Buitelaar, Emma Sprooten, Alejandro Arias-Vasquez, Jessica A. Turner, Jingyu Liu
2021	—	`conf`	Federation of Brain Age Estimation in Structural Neuroimaging Data. EMBC Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Jingyu Liu, Eric Verner, Vince D. Calhoun
2021	—	`conf`	Multimodal Brain Age Prediction with Feature Selection and Comparison. EMBC Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Zening Fu, Pranav Suresh, Sarah Johnson, Vince D. Calhoun, Jingyu Liu
2021	C	`conf`	Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. BIBE 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	J	`jnl`	The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain. NeuroImage Julia M. Stephen, Isabel Solis, J. Janowich, M. Stern, Michaela R. Frenzel, Jacob A. Eastman, Mackenzie S. Mills, Christine M. Embury, N. M. Coolidge, Elizabeth Heinrichs-Graham, Andy R. Mayer, Jingyu Liu, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
2020	J	`jnl`	Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. IEEE Trans. Biomed. Eng. Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2020	J	`jnl`	Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. CoRR Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun
2020	J	`jnl`	N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. IEEE Trans. Biomed. Eng. Md Abdur Rahaman, Daniel H. Mathalon, Hyo Jong Lee, Wenhao Jiang, Bryon A. Mueller, Ole A. Andreassen, Ingrid Agartz, Scott R. Sponheim, Andrew R. Mayer, Julia M. Stephen, Rex E. Jung, Jessica A. Turner, José M. Cañive, Juan R. Bustillo, Vince D. Calhoun, Cota Navin Gupta, Srinivas Rachakonda, Jiayu Chen, Jingyu Liu, Theo G. M. van Erp, Steven G. Potkin, Judith M. Ford
2020	—	`conf`	aNy-way Independent Component Analysis. EMBC Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva
2019	J	`jnl`	A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. NeuroImage Barnaly Rashid, Jiayu Chen, Ishtiaque Rashid, Eswar Damaraju, Jingyu Liu, Robyn L. Miller, Oktay Agcaoglu, Theo G. M. van Erp, Kelvin O. Lim, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Vince D. Calhoun
2019	J	`jnl`	Association between the oral microbiome and brain resting state connectivity in smokers. NeuroImage Dongdong Lin, Kent Hutchison, Salvador Portillo, Victor Vegara, Jarrod M. Ellingson, Jingyu Liu, Kenneth S. Krauter, Amanda Carroll-Portillo, Vince D. Calhoun
2019	J	`jnl`	Scanning the Issue. Proc. IEEE Ian F. Akyildiz, Massimiliano Pierobon, Sasitharan Balasubramaniam, Jiankang Zhang, Taihai Chen, Shida Zhong, Jingjing Wang, Wenbo Zhang, Xin Zuo, Robert G. Maunder, Lajos Hanzo, Jiayu Chen, Jingyu Liu, Vince D. Calhoun, Alexander B. Magoun
2019	—	`conf`	Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. ISBI Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu
2019	J	`jnl`	Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders. Proc. IEEE Jiayu Chen, Jingyu Liu, Vince D. Calhoun
2018	J	`jnl`	Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. IEEE Trans. Biomed. Eng. Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang
2018	J	`jnl`	Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. Brain Connect. Flor A. Espinoza, Jessica A. Turner, Victor M. Vergara, Robyn L. Miller, Eva Mennigen, Jingyu Liu, Maria B. Misiura, Jennifer Ciarochi, Hans J. Johnson, Jeffrey D. Long, Henry Jeremy Bockholt, Vincent A. Magnotta, Jane S. Paulsen, Vince D. Calhoun
2017	J	`jnl`	Alterations of resting state functional network connectivity in the brain of nicotine and alcohol users. NeuroImage Victor M. Vergara, Jingyu Liu, Eric D. Claus, Kent Hutchison, Vince D. Calhoun
2017	J	`jnl`	Multimodal Neuroimaging in Schizophrenia: Description and Dissemination. Neuroinformatics C. J. Aine, Henry Jeremy Bockholt, Juan R. Bustillo, José M. Cañive, Arvind Caprihan, Charles Gasparovic, Faith M. Hanlon, Jon M. Houck, Rex E. Jung, John Lauriello, Jingyu Liu, Andy R. Mayer, Nora I. Perrone-Bizzozero, Stefan Posse, Julia M. Stephen, Jessica A. Turner, Vincent P. Clark, Vince D. Calhoun
2015	J	`jnl`	A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun
2015	—	`conf`	Parallel group ICA for multimodal biomedical data analyses. BIBM Jingyu Liu, Jiayu Chen, Vince D. Calhoun
2014	—	`conf`	A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance images. EMBC Alvaro Ulloa, Paul Rodríguez, Jingyu Liu, Vince D. Calhoun, Marios S. Pattichis
2014	J	`jnl`	A review of multivariate analyses in imaging genetics. Frontiers Neuroinformatics Jingyu Liu, Vince D. Calhoun
2014	J	`jnl`	A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. NeuroImage Victor M. Vergara, Alvaro Ulloa, Vince D. Calhoun, David Boutte, Jiayu Chen, Jingyu Liu
2014	—	`conf`	Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. EMBC Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince D. Calhoun
2014	—	`conf`	Parallel ICA with multiple references: A semi-blind multivariate approach. EMBC Jiayu Chen, Vince D. Calhoun, Alvaro E. Ulloa, Jingyu Liu
2014	—	`conf`	Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. EMBC Alvaro Ulloa, Jingyu Liu, Victor M. Vergara, Jiayu Chen, Vince D. Calhoun, Marios S. Pattichis
2013	J	`jnl`	Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. NeuroImage Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Jing Sui, Jessica A. Turner, Juan R. Bustillo, Stefan Ehrlich, Scott R. Sponheim, José M. Cañive, Beng-Choon Ho, Jingyu Liu
2012	J	`jnl`	A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort. NeuroImage Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson
2012	J	`jnl`	Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621]. NeuroImage Shashwath A. Meda, Balaji Narayanan, Jingyu Liu, Nora I. Perrone-Bizzozero, Michael C. Stevens, Vince D. Calhoun, David C. Glahn, Li Shen, Shannon L. Risacher, Andrew J. Saykin, Godfrey D. Pearlson
2012	—	`conf`	ICA order selection based on consistency: Application to genotype data. EMBC Jiayu Chen, Vince D. Calhoun, Jingyu Liu
2012	J	`jnl`	Multifaceted genomic risk for brain function in schizophrenia. NeuroImage Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Stefan Ehrlich, Jessica A. Turner, Beng-Choon Ho, Thomas H. Wassink, Andrew Michael, Jingyu Liu
2012	—	`conf`	Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. EMBC Jing Sui, Hao He, Jingyu Liu, Qingbao Yu, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2011	—	`conf`	A pipeline for copy number variation detection based on principal component analysis. EMBC Jiayu Chen, Jingyu Liu, David Boutte, Vince D. Calhoun
2011	J	`jnl`	Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. NeuroImage Jing Sui, Godfrey D. Pearlson, Arvind Caprihan, Tülay Adali, Kent A. Kiehl, Jingyu Liu, Jeremy Yamamoto, Vince D. Calhoun
2010	J	`jnl`	A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia. NeuroImage Shashwath A. Meda, Kanchana Jagannathan, Joel Gelernter, Vince D. Calhoun, Jingyu Liu, Michael C. Stevens, Godfrey D. Pearlson
2010	—	`conf`	Correction of copy number variation data using principal component analysis. BIBM Workshops Jiayu Chen, Jingyu Liu, Vince D. Calhoun
2010	—	`conf`	Sparse canonical correlation analysis applied to fMRI and genetic data fusion. BIBM David Boutte, Jingyu Liu
2009	J	`jnl`	A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data. NeuroImage Vince D. Calhoun, Jingyu Liu, Tülay Adali
2009	J	`jnl`	Genetic determinants of target and novelty-related event-related potentials in the auditory oddball response. NeuroImage Jingyu Liu, Kent A. Kiehl, Godfrey D. Pearlson, Nora I. Perrone-Bizzozero, Tom Eichele, Vince D. Calhoun
2009	J	`jnl`	Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls. NeuroImage Oguz Demirci, Michael C. Stevens, Nancy Andreasen, Andrew Michael, Jingyu Liu, Tonya White, Godfrey D. Pearlson, Vincent P. Clark, Vince D. Calhoun
2008	J	`jnl`	A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function. IEEE Signal Process. Lett. Jingyu Liu, Oguz Demirci, Vincent D. Calhoun
2008	Misc	`conf`	A constrained coefficient ica algorithm for group difference enhancement. ICASSP Jing Sui, Jingyu Liu, Lei Wu, Andrew Michael, Lai Xu, Tülay Adali, Vince D. Calhoun
2008	Misc	`conf`	Extracting principle components for discriminant analysis of FMRI images. ICASSP Jingyu Liu, Lai Xu, Arvind Caprihan, Vince D. Calhoun
2008	Misc	`conf`	Source based morphometry using structural MRI phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls. ICASSP Lai Xu, Jingyu Liu, Tülay Adali, Vince D. Calhoun
2007	—	`conf`	Parallel Independent Component Analysis for Multimodal Analysis: Application to FMRI and EEG Data. ISBI Jingyu Liu, Vince D. Calhoun
2006	—	`conf`	A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data. EMBC Vince D. Calhoun, Tülay Adali, Jingyu Liu
2006	B	`conf`	Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. IJCNN Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jingyu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda
2005	J	`jnl`	Recovery of correlated neuronal sources from EEG: The good and bad ways of using SOBI. NeuroImage Akaysha C. Tang, Jingyu Liu, Matthew T. Sutherland