Jiayu Chen
Orcid: 0000-0001-5059-372XAffiliations:
- The Mind Research Network, The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA
- University of New Mexico, Department of electrical engineering, Albuquerque, NM, USA (PhD 2013)
- Shanghai Jiao Tong University, Department of electrical engineering, China (former)
According to our database1,
Jiayu Chen
authored at least 35 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease.
CoRR, 2024
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks.
CoRR, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data.
CoRR, 2023
Effective Training Strategy for NN Models of Working Memory Classification with Limited Samples.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
The Nonlinear Brain: Towards Uncovering Hidden Brain Networks Using Explicitly Nonlinear Functional Interaction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Capturing Spatial Dynamics Using Time-Resolved Referenced-Informed Network Estimation Techniques.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
2021
Evaluating the Neuroimaging-Genetic Prediction of Symptom Changes in Individuals with ADHD.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia.
IEEE Trans. Biomed. Eng., 2020
2019
Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders.
Proc. IEEE, 2019
A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study.
NeuroImage, 2019
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
IEEE Trans. Medical Imaging, 2018
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia.
IEEE Trans. Biomed. Eng., 2018
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.
Proc. IEEE, 2018
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis.
NeuroImage, 2018
Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.
NeuroImage, 2017
2015
Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function.
NeuroImage, 2014
Three-way parallel independent component analysis for imaging genetics using multi-objective optimization.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference.
NeuroImage, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
A pipeline for copy number variation detection based on principal component analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010