Correction of copy number variation data using principal component analysis. - Jiayu Chen 003; Jingyu Liu 001; Vince D. Calhoun (BIBM Workshops, 2010)

A pipeline for copy number variation detection based on principal component analysis. - Jiayu Chen 003; Jingyu Liu 001; David Boutte; Vince D. Calhoun (EMBC, 2011)

ICA order selection based on consistency: Application to genotype data. - Jiayu Chen 003; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2012)

Multifaceted genomic risk for brain function in schizophrenia. - Jiayu Chen 003; Vince D. Calhoun; Godfrey D. Pearlson; Stefan Ehrlich; Jessica A. Turner; Beng-Choon Ho; Thomas H. Wassink; Andrew Michael; Jingyu Liu 001 (NeuroImage, 2012)

Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. - Jiayu Chen 003; 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 001 (NeuroImage, 2013)

Parallel ICA with multiple references: A semi-blind multivariate approach. - Jiayu Chen 003; Vince D. Calhoun; Alvaro E. Ulloa; Jingyu Liu 001 (EMBC, 2014)

Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. - Alvaro Ulloa; Jingyu Liu 001; Victor M. Vergara; Jiayu Chen 003; Vince D. Calhoun; Marios S. Pattichis (EMBC, 2014)

A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. - Victor M. Vergara; Alvaro Ulloa; Vince D. Calhoun; David Boutte; Jiayu Chen 003; Jingyu Liu 001 (NeuroImage, 2014)

Parallel group ICA for multimodal biomedical data analyses. - Jingyu Liu 001; Jiayu Chen 003; Vince D. Calhoun (BIBM, 2015)

Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders. - Yuhui Du; Godfrey D. Pearlson; Hao He 002; Lei Wu 013; Jiayu Chen 003; Vince D. Calhoun (ISBI, 2015)

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. - Xing Meng; Rongtao Jiang; Dongdong Lin; Juan R. Bustillo; Thomas R. Jones; Jiayu Chen 003; Qingbao Yu; Yuhui Du; Yu Zhang; Tianzi Jiang; Jing Sui; Vince D. Calhoun (NeuroImage, 2017)

Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. - Na Luo; Lin Tian; Vince D. Calhoun; Jiayu Chen 003; Dongdong Lin; Victor M. Vergara; Shuquan Rao; Fuquan Zhang 003; Jing Sui (EMBC, 2018)

Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. - Yuhui Du; Susanna Fryer; Zening Fu; Dongdong Lin; Jing Sui; Jiayu Chen 003; Eswar Damaraju; Eva Mennigen; Barbara Stuart; Rachel L. Loewy; Daniel H. Mathalon; Vince D. Calhoun (NeuroImage, 2018)

Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. - Qingbao Yu; Yuhui Du; Jiayu Chen 003; Jing Sui; Tülay Adali; Godfrey D. Pearlson; Vince D. Calhoun (Proc. IEEE, 2018)

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. - Wenxing Hu; Dongdong Lin; Shaolong Cao; Jingyu Liu 001; Jiayu Chen 003; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. - Shile Qi; Vince D. Calhoun; Theo G. M. van Erp; Juan R. Bustillo; Eswar Damaraju; Jessica A. Turner; Yuhui Du; Jian Yang 009; Jiayu Chen 003; Qingbao Yu; Daniel H. Mathalon; Judith M. Ford; et al. (IEEE Trans. Medical Imaging, 2018)

Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. - Kuaikuai Duan; Rogers F. Silva; Jiayu Chen 003; Dongdong Lin; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2019)

A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. - Barnaly Rashid; Jiayu Chen 003; Ishtiaque Rashid; Eswar Damaraju; Jingyu Liu 001; Robyn L. Miller; Oktay Agcaoglu; Theo G. M. van Erp; Kelvin O. Lim; Jessica A. Turner; Daniel H. Mathalon; Judith M. Ford; et al. (NeuroImage, 2019)

Scanning the Issue. - Ian F. Akyildiz; Massimiliano Pierobon; Sasitharan Balasubramaniam; Jiankang Zhang 001; Taihai Chen; Shida Zhong; Jingjing Wang 001; Wenbo Zhang 011; Xin Zuo; Robert G. Maunder; Lajos Hanzo; Jiayu Chen 003; et al. (Proc. IEEE, 2019)

Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders. - Jiayu Chen 003; Jingyu Liu 001; Vince D. Calhoun (Proc. IEEE, 2019)

N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. - 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; et al. (IEEE Trans. Biomed. Eng., 2020)

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. - Md Abdur Rahaman; Jiayu Chen 003; Zening Fu; Noah Lewis; Armin Iraji; Vince D. Calhoun (EMBC, 2021)

Multimodal Brain Age Prediction with Feature Selection and Comparison. - Bhaskar Ray; Kuaikuai Duan; Jiayu Chen 003; Zening Fu; Pranav Suresh; Sarah Johnson; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2021)

Evaluating the Neuroimaging-Genetic Prediction of Symptom Changes in Individuals with ADHD. - Pranav Suresh; Bhaskar Ray; Kuaikuai Duan; Jiayu Chen 003; Gido Schoenmacker; Barbara Franke; Jan K. Buitelaar; Emma Sprooten; Alejandro Arias-Vasquez; Jessica A. Turner; Jingyu Liu 001 (EMBC, 2021)

A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. - Giorgio Dolci; Md Abdur Rahaman; Jiayu Chen 003; Kuaikuai Duan; Zening Fu; Anees Abrol; Gloria Menegaz; Vince D. Calhoun (BIBE, 2022)

Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. - Md Abdur Rahaman; Yash Garg; Armin Iraji; Zening Fu; Jiayu Chen 003; Vince D. Calhoun (MLSP, 2022)

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. - Chan Aek Panichvatana; Jiayu Chen 003; Bradley T. Baker; Bishal Thapaliya; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2023)

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 003; Zening Fu; Kuaikuai Duan; Gloria Menegaz; Vince D. Calhoun (ICASSP Workshops, 2023)

Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques. - Armin Iraji; Jiayu Chen 003; Ashkan Faghiri; Zening Fu; Jingyu Liu 001; Juan R. Bustillo; Tülay Adali; Mukesh Dhamala; Vince D. Calhoun (ISBI, 2023)

The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction. - Armin Iraji; Katarzyna Kazimierczak; Jiayu Chen 003; Sara Motlaghian; Karsten Specht; Tülay Adali; Vince D. Calhoun (ISBI, 2023)

Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. - Pranav Suresh; Bhaskar Ray; Bishal Thapaliya; Britny Farahdel; Behnam Kazemivash; Jiayu Chen 003; Kuaikuai Duan; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2023)

Replication and Refinement of Brain Age Model for Adolescent Development. - Bhaskar Ray; Jiayu Chen 003; Zening Fu; Pranav Suresh; Bishal Thapaliya; Britny Farahdel; Vince D. Calhoun; Jingyu Liu 001 (ISBI, 2024)

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. - Giorgio Dolci; Federica Cruciani; Md Abdur Rahaman; Anees Abrol; Jiayu Chen 003; Zening Fu; Ilaria Boscolo Galazzo; Gloria Menegaz; Vince D. Calhoun (CoRR, 2024)

Linking Multi-Scale Brain Connectivity with Vigilance, Working Memory, and Behavior in Adolescents. - Prerana Bajracharya; Ram Ballem; Jiayu Chen 003; Pablo Andrés-Camazón; Nigar Khasayeva; Vince D. Calhoun; Jingyu Liu 001; Armin Iraji (ISBI, 2025)

Psychosis Multiscale Functional Network Connectivity Subspace Encodes Sex Specificity and Identifies Sex Biotypes. - Adithya Ram Ballem; Prerana Bajracharya; Pablo André S.-Camazón; Jiayu Chen 003; Vince D. Calhoun; Armin Iraji (ISBI, 2025)

Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. - Bishal Thapaliya; Esra Akbas; Jiayu Chen 003; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. - Bishal Thapaliya; Robyn L. Miller; Jiayu Chen 003; Yu-Ping Wang 002; Esra Akbas; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)