Yu-Ping Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 128

Top Venues

IEEE Trans. Biomed. Eng.

IEEE Trans. Medical Imaging

NeuroImage

CoRR

Publications

Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 298 (2024)
Zhongchen Zhao, Huai Chen, Yu-Ping Wang, Deyu Meng, Xi Qi Gao, Qi Yu, Lisheng Wang
Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning. Neurocomputing 593 (2024)
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 (2024)
Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR (2024)
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Trans. Medical Imaging 43 (4) (2024)
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Bin-Hua Zhao, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. Biomed. Signal Process. Control. 95 (2024)
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. IEEE Trans. Biomed. Eng. 71 (7) (2024)
Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. CoRR (2024)
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. CoRR (2024)
Wei Wang, Li Xiao, Gang Qu, Vince D. Calhoun, Yu-Ping Wang, Xiaoyan Sun
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. Medical Image Anal. 94 (2024)
Lan Yang, Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms. IEEE Trans. Biomed. Eng. 70 (8) (2023)
Chen Qiao, Bin Gao, Yuechen Liu, Xin-Yu Hu, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Anal. 90 (2023)
Anton Orlichenko, Gang Qu, Gemeng Zhang, Binish Patel, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. IEEE Trans. Biomed. Eng. 70 (6) (2023)
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics 21 (1) (2023)
Anton Orlichenko, Grant Daly, Jack W. Freeman, Yu-Ping Wang
ImageNomer: developing an interactive graphical analysis tool for examining fMRI and omics data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2023)
Faming Xu, Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development. Neural Networks 159 (2023)
Xueli Song, Rongpeng Li, Kaiming Wang, Yuntong Bai, Yuzhu Xiao, Yu-Ping Wang
Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. Neuroinformatics 21 (1) (2023)
Peng Peng, Yipu Zhang, Yongfeng Ju, Kaiming Wang, Gang Li, Vince D. Calhoun, Yu-Ping Wang
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
Brain Functional Connectivity Analysis via Graphical Deep Learning. IEEE Trans. Biomed. Eng. 69 (5) (2022)
Madison H. Fung, Elizabeth Heinrichs-Graham, Brittany K. Taylor, Michaela R. Frenzel, Jacob A. Eastman, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
The development of sensorimotor cortical oscillations is mediated by pubertal testosterone. NeuroImage 264 (2022)
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. IEEE Trans. Medical Imaging 41 (3) (2022)
Gemeng Zhang, Biao Cai, Aiying Zhang, Zhuozhuo Tu, Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. NeuroImage 260 (2022)
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39 (2) (2022)
Oktay Agcaoglu, Tony W. Wilson, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun
Longitudinal Changes in Resting State FMRI Spectra in Children. EMBC (2022)
Brittany K. Taylor, Michaela R. Frenzel, Jacob A. Eastman, Christine M. Embury, Oktay Agcaoglu, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun, Tony W. Wilson
Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence. NeuroImage 247 (2022)
Yuchen Pei, Guocheng Shi, Wenjin Xia, Chen Wen, Dazhen Sun, Fang Zhu, Jiang Li, Zhongqun Zhu, Xiaoqing Liu, Meiping Huang, Yu-Ping Wang, Huiwen Chen, Lisheng Wang
Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Li Xiao, Biao Cai, Gang Qu, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. IEEE Trans. Biomed. Eng. 69 (10) (2022)
Nathan M. Petro, Lauren R. Ott, Samantha H. Penhale, Maggie P. Rempe, Christine M. Embury, Giorgia Picci, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun, Tony W. Wilson
Eyes-closed versus eyes-open differences in spontaneous neural dynamics during development. NeuroImage 258 (2022)
Yipu Zhang, Haowei Zhang, Li Xiao, Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study. IEEE Trans. Medical Imaging 41 (9) (2022)
Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Brittany K. Taylor, Elizabeth Heinrichs-Graham, Jacob A. Eastman, Michaela R. Frenzel, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents. NeuroImage 253 (2022)
Beenish Patel, Anton Orlichenko, Yu-Ping Wang
Multimodal graph isomorphism network to study fMRI connectivity in developmental stages of adolescence. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Anton Orlichenko, Gang Qu, Yu-Ping Wang
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
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
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. BIBE (2021)
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. IEEE Trans. Biomed. Eng. 68 (12) (2021)
Lauren R. Ott, Samantha H. Penhale, Brittany K. Taylor, Brandon J. Lew, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence. NeuroImage 244 (2021)
Chen Qiao, Lan Yang, Vince D. Calhoun, Zong-Ben Xu, Yu-Ping Wang
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study. Neural Networks 135 (2021)
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Gang Qu, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Trans. Medical Imaging 40 (5) (2021)
Julia M. Stephen, I. 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, J. Liu, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain. NeuroImage 225 (2021)
Guixia Pan, Li Xiao, Yuntong Bai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis. IEEE Trans. Biomed. Eng. 68 (8) (2021)
Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study. IEEE Trans. Medical Imaging 40 (3) (2021)
Li Xiao, Aiying Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data. IEEE Trans. Biomed. Eng. 68 (4) (2021)
Aiying Zhang, Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Chen Qiao, Xin-Yu Hu, Li Xiao, Vince D. Calhoun, Yu-Ping Wang
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development. Neurocomputing 456 (2021)
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. CoRR (2021)
Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis. J. Biomed. Informatics 120 (2021)
Yipu Zhang, Li Xiao, Gemeng Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Junbo Duan, Qing Wang, Yu-Ping Wang
HOPS: A Fast Algorithm for Segmenting Piecewise Polynomials of Arbitrary Orders. IEEE Access 9 (2021)
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Interpretable multimodal fusion networks reveal mechanisms of brain cognition. CoRR (2020)
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Causality based Feature Fusion for Brain Neuro-Developmental Analysis. CoRR (2020)
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A hypergraph learning method for brain functional connectivity network construction from fMRI data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Yuntong Bai, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data. IEEE Trans. Medical Imaging 39 (6) (2020)
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. IEEE Trans. Medical Imaging 39 (11) (2020)
Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
A graph deep learning model for the classification of groups with different IQ using resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Gemeng Zhang, Biao Cai, Aiying Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model. IEEE Trans. Medical Imaging 39 (2) (2020)
Yipu Zhang, Peng Peng, Yongfeng Ju, Gang Li, Vince D. Calhoun, Yu-Ping Wang
Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang
Integration of multi-task fMRI for cognitive study by structure-enforced collaborative regression. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. IEEE Trans. Medical Imaging 39 (4) (2020)
Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms. IEEE Trans. Biomed. Eng. 67 (3) (2020)
Oktay Agcaoglu, Tony W. Wilson, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun
Dynamic Resting-State Connectivity Differences in Eyes Open Versus Eyes Closed Conditions. Brain Connect. 10 (9) (2020)
Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity. Medical Imaging: Image Processing (2020)
Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. IEEE Trans. Medical Imaging 39 (5) (2020)
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). IEEE Trans. Signal Process. 68 (2020)
Zhongxing Zhou, Biao Cai, Gemeng Zhang, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI. NeuroImage 221 (2020)
Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
A survey on U-shaped networks in medical image segmentations. Neurocomputing 409 (2020)
Aiying Zhang, Gemeng Zhang, Biao Cai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence. CoRR (2020)
Aiying Zhang, Biao Cai, Wenxing Hu, Bochao Jia, Faming Liang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. IEEE Trans. Medical Imaging 39 (2) (2020)
Gang Li, Depeng Han, Chao Wang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. Comput. Methods Programs Biomed. 183 (2020)
Chen Qiao, Yan Shi, Yu-Xian Diao, Vince D. Calhoun, Yu-Ping Wang
Log-sum enhanced sparse deep neural network. Neurocomputing 407 (2020)
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Abraham D. Killanin, Alex I. Wiesman, Elizabeth Heinrichs-Graham, Boman R. Groff, Michaela R. Frenzel, Jacob A. Eastman, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
Development and sex modulate visuospatial oscillatory dynamics in typically-developing children and adolescents. NeuroImage 221 (2020)
Gemeng Zhang, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Min Wang, Ting-Zhu Huang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang
Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Gang Li, Chao Wang, Depeng Han, Yipu Zhang, Peng Peng, Vince D. Calhoun, Yu-Ping Wang
Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration. IEEE Access 8 (2020)
Peyman Hosseinzadeh Kassani, Vince D. Calhoun, Yu-Ping Wang
Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Junqi Wang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). CoRR (2020)
Yuntong Bai, Pascal Zille, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Biomarker Identification Through Integrating fMRI and Epigenetics. IEEE Trans. Biomed. Eng. 67 (4) (2020)
Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). CoRR (2020)
Md. Ashad Alam, Osamu Komori, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics. J. Bioinform. Comput. Biol. 17 (4) (2019)
Michael P. Trevarrow, Max J. Kurz, Timothy J. McDermott, Alex I. Wiesman, Mackenzie S. Mills, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
The developmental trajectory of sensorimotor cortical oscillations. NeuroImage 184 (2019)
Ashkan Faghiri, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
Using Gradient as a New Metric for Dynamic Connectivity Estimation from Resting fMRI Data. ISBI (2019)
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier, Yu-Ping Wang, Mingxi Wan
A Parallelizable Framework for Segmenting Piecewise Signals. IEEE Access 7 (2019)
Junbo Duan, Jérôme Idier, Yu-Ping Wang, Mingxi Wan
A Joint Least Squares and Least Absolute Deviation Model. IEEE Signal Process. Lett. 26 (4) (2019)
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
Multimodal Sparse Classifier for Adolescent Brain Age Prediction. CoRR (2019)
Biao Cai, Gemeng Zhang, Aiying Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso. IEEE Trans. Biomed. Eng. 66 (7) (2019)
Christine M. Embury, Alex I. Wiesman, Amy L. Proskovec, Mackenzie S. Mills, Elizabeth Heinrichs-Graham, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
Neural dynamics of verbal working memory processing in children and adolescents. NeuroImage 185 (2019)
Ashkan Faghiri, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study. Brain Connect. 9 (10) (2019)
Wenxing Hu, Biao Cai, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. IEEE Trans. Biomed. Eng. 66 (12) (2019)
Aiying Zhang, Jian Fang, Faming Liang, Vince D. Calhoun, Yu-Ping Wang
Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Improved estimation of dynamic connectivity from resting-state fMRI data. Medical Imaging: Image Processing (2019)
Yuntong Bai, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
Extraction of co-expressed discriminative features of Schizophrenia in imaging epigenetics framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction. IEEE Trans. Biomed. Eng. 66 (8) (2019)
Junqi Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Integration of network topological features and graph Fourier transform for fMRI data analysis. ISBI (2018)
Su-Ping Deng, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Jian Fang, Chao Xu, Pascal Zille, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. IEEE Trans. Medical Imaging 37 (4) (2018)
Biao Cai, Pascal Zille, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
Estimation of Dynamic Sparse Connectivity Patterns From Resting State fMRI. IEEE Trans. Medical Imaging 37 (5) (2018)
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) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu-Ping Wang