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ORCIDJiayu Chen 0003
Person information
- affiliation: The Mind Research Network, The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA
- affiliation (PhD 2013): University of New Mexico, Department of electrical engineering, Albuquerque, NM, USA
- affiliation (former): Shanghai Jiao Tong University, Department of electrical engineering, China
Other persons with the same name
- Jiayu Chen (aka: Jia-Yu Chen, Jia Yu Chen) — disambiguation page
- Jiayu Chen 0001
![[0000-0001-9396-0059]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9396-0059")
— Tsinghua University, Department of Construction Management, Beijing, China (and 2 more) - Jiayu Chen 0002 — Nanjing University of Aeronautics and Astronautics, Civil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, China (and 1 more)
- Jiayu Chen 0004 — University of Science and Technology of China, USTC, Department of Automation, Hefei, China
- Jiayu Chen 0005 — Tsinghua University, Beijing, China
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Journal Articles
- 2025
[j13]Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu:
Brain networks and intelligence: A graph neural network based approach to resting state fMRI data. Medical Image Anal. 101: 103433 (2025)- 2020
- [j12]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:
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 67(1): 110-121 (2020) - 2019
- [j11]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:
A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. NeuroImage 184: 843-854 (2019) - [j10]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:
Scanning the Issue. Proc. IEEE 107(5): 866-867 (2019) - [j9]Jiayu Chen, Jingyu Liu, Vince D. Calhoun:
Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders. Proc. IEEE 107(5): 912-927 (2019) - 2018
- [j8]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:
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage 180(Part): 632-645 (2018) - [j7]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) - [j6]Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang:
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. IEEE Trans. Biomed. Eng. 65(2): 390-399 (2018) - [j5]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:
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans. Medical Imaging 37(1): 93-105 (2018) - 2017
- [j4]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:
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage 145: 218-229 (2017) - 2014
- [j3]Victor M. Vergara, Alvaro Ulloa, Vince D. Calhoun, David Boutte, Jiayu Chen, Jingyu Liu:
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. NeuroImage 98: 386-394 (2014) - 2013
- [j2]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:
Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference. NeuroImage 83: 384-396 (2013) - 2012
- [j1]Jiayu Chen, Vince D. Calhoun, Godfrey D. Pearlson, Stefan Ehrlich, Jessica A. Turner, Beng-Choon Ho, Thomas H. Wassink, Andrew Michael, Jingyu Liu:
Multifaceted genomic risk for brain function in schizophrenia. NeuroImage 61(4): 866-875 (2012)
Conference and Workshop Papers
- 2024
- [c20]Bhaskar Ray, Jiayu Chen, Zening Fu, Pranav Suresh, Bishal Thapaliya, Britny Farahdel, Vince D. Calhoun, Jingyu Liu:
Replication and Refinement of Brain Age Model for Adolescent Development. ISBI 2024: 1-5 - 2023
- [c19]Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu:
Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. EMBC 2023: 1-4 - [c18]Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun:
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. ICASSP Workshops 2023: 1-5 - [c17]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 - [c16]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 - [c15]Pranav Suresh, Bhaskar Ray, Bishal Thapaliya, Britny Farahdel, Behnam Kazemivash, Jiayu Chen, Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu:
Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples. ISBI 2023: 1-4 - 2022
- [c14]Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun:
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. BIBE 2022: 41-44 - [c13]Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun:
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP 2022: 1-6 - 2021
- [c12]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:
Evaluating the Neuroimaging-Genetic Prediction of Symptom Changes in Individuals with ADHD. EMBC 2021: 1950-1956 - [c11]Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun:
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC 2021: 3267-3272 - [c10]Bhaskar Ray, Kuaikuai Duan, Jiayu Chen, Zening Fu, Pranav Suresh, Sarah Johnson, Vince D. Calhoun, Jingyu Liu:
Multimodal Brain Age Prediction with Feature Selection and Comparison. EMBC 2021: 3858-3864 - 2019
- [c9]Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu:
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. ISBI 2019: 418-421 - 2018
- [c8]Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, Jing Sui:
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis. EMBC 2018: 4126-4129 - 2015
- [c7]Jingyu Liu, Jiayu Chen, Vince D. Calhoun:
Parallel group ICA for multimodal biomedical data analyses. BIBM 2015: 1084-1091 - [c6]Yuhui Du, Godfrey D. Pearlson, Hao He, Lei Wu, Jiayu Chen, Vince D. Calhoun:
Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders. ISBI 2015: 478-481 - 2014
- [c5]Alvaro Ulloa, Jingyu Liu, Victor M. Vergara, Jiayu Chen, Vince D. Calhoun, Marios S. Pattichis:
Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. EMBC 2014: 6651-6654 - [c4]Jiayu Chen, Vince D. Calhoun, Alvaro E. Ulloa, Jingyu Liu:
Parallel ICA with multiple references: A semi-blind multivariate approach. EMBC 2014: 6659-6662 - 2012
- [c3]Jiayu Chen, Vince D. Calhoun, Jingyu Liu:
ICA order selection based on consistency: Application to genotype data. EMBC 2012: 360-363 - 2011
- [c2]Jiayu Chen, Jingyu Liu, David Boutte, Vince D. Calhoun:
A pipeline for copy number variation detection based on principal component analysis. EMBC 2011: 6975-6978 - 2010
- [c1]Jiayu Chen, Jingyu Liu, Vince D. Calhoun:
Correction of copy number variation data using principal component analysis. BIBM Workshops 2010: 827-828
Informal and Other Publications
- 2024
- [i3]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:
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks. CoRR abs/2405.15805 (2024) - [i2]Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun:
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. CoRR abs/2406.13292 (2024) - 2023
- [i1]Bishal Thapaliya, Esra Akbas, Jiayu Chen, Ram Sapkota, Bhaskar Ray, Pranav Suresh, Vince D. Calhoun, Jingyu Liu:
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data. CoRR abs/2311.03520 (2023)
Coauthor Index
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