Jiayu Chen - RankMe

40 papers C 1Journal 17Unranked 22

Year	Rank	Type	Title / Venue / Authors
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`	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	—	`conf`	Psychosis Multiscale Functional Network Connectivity Subspace Encodes Sex Specificity and Identifies Sex Biotypes. ISBI Adithya Ram Ballem, Prerana Bajracharya, Pablo André S.-Camazón, Jiayu Chen, Vince D. Calhoun, Armin Iraji
2024	J	`jnl`	An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. CoRR Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
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	—	`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
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	—	`conf`	Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. ICASSP Workshops Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun
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	—	`conf`	The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction. ISBI Armin Iraji, Katarzyna Kazimierczak, Jiayu Chen, Sara Motlaghian, Karsten Specht, Tülay Adali, Vince D. Calhoun
2022	C	`conf`	A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. BIBE Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun
2022	—	`conf`	Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun
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`	Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, 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
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
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`	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`	Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proc. IEEE Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun
2018	J	`jnl`	Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun
2018	—	`conf`	Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. EMBC Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui
2018	J	`jnl`	Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans. Medical Imaging Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan R. Bustillo, Eswar Damaraju, Jessica A. Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Tianzi Jiang, Jing Sui
2017	J	`jnl`	Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage Xing Meng, Rongtao Jiang, Dongdong Lin, Juan R. Bustillo, Thomas R. Jones, Jiayu Chen, Qingbao Yu, Yuhui Du, Yu Zhang, Tianzi Jiang, Jing Sui, Vince D. Calhoun
2015	—	`conf`	Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders. ISBI Yuhui Du, Godfrey D. Pearlson, Hao He, Lei Wu, Jiayu Chen, Vince D. Calhoun
2015	—	`conf`	Parallel group ICA for multimodal biomedical data analyses. BIBM Jingyu Liu, Jiayu Chen, 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`	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	—	`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
2011	—	`conf`	A pipeline for copy number variation detection based on principal component analysis. EMBC Jiayu Chen, Jingyu Liu, David Boutte, Vince D. Calhoun
2010	—	`conf`	Correction of copy number variation data using principal component analysis. BIBM Workshops Jiayu Chen, Jingyu Liu, Vince D. Calhoun