Yu-Ping Wang

203 papers B 2C 1Misc 5Journal 140Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unsupervised anomaly detection in brain MRI via disentangled anatomy learning.
Medical Image Anal.
Tao Yang, Xiuying Wang, Hao Liu, Guanzhong Gong, Lianming Wu, Yu-Ping Wang, Lisheng Wang
2025 J jnl
A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery.
CoRR
Faming Xu, Yiding Wang, Chen Qiao, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2025 J jnl
An Explainable Unified Framework of Spatio-Temporal Coupling Learning With Application to Dynamic Brain Functional Connectivity Analysis.
IEEE Trans. Medical Imaging
Bin Gao, Aiju Yu, Chen Qiao, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
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 J jnl
Individual Graph Representation Learning for Pediatric Tooth Segmentation From Dental CBCT.
IEEE Trans. Medical Imaging
Yusheng Liu, Shu Zhang, Xiyi Wu, Tao Yang, Yuchen Pei, Huayan Guo, Yuxian Jiang, Zhien Feng, Wen Xiao, Yu-Ping Wang, Lisheng Wang
2025 J jnl
Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks.
Medical Image Anal.
Gang Qu, Ziyu Zhou, Vince D. Calhoun, Aiying Zhang, Yu-Ping Wang
2025 J jnl
MJNMF-GAT: Multi-Task Joint Non-Negative Matrix Factorization Graph Attention Network for Understanding Adolescent Neurodevelopment.
IEEE Access
Binish Patel, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2025 J jnl
Tensor dictionary-based heterogeneous transfer learning to study emotion-related gender differences in brain.
Neural Networks
Lan Yang, Chen Qiao, Takafumi Kanamori, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2024 J jnl
A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development.
IEEE Trans. Biomed. Eng.
Yingying Wang, Chen Qiao, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2024 J jnl
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds.
CoRR
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
2024 Misc conf
A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction.
ICASSP
Xingcan Hu, Li Xiao, Yu-Ping Wang
2024 J jnl
A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data.
Biomed. Signal Process. Control.
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Bin-Hua Zhao, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
2024 Misc conf
Adaptive Multiview Community-Preserved Graph Convolutional Network for Multiatlas-Based Functional Connectivity Analysis.
ICASSP
Wei Wang, Xingcan Hu, Li Xiao, Yu-Ping Wang
2024 J jnl
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis.
CoRR
Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
2024 — conf
Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis.
EUSIPCO
Irina Belyaeva, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
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 J jnl
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development.
NeuroImage
Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2024 J jnl
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
2024 J jnl
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks.
CoRR
Gang Qu, Ziyu Zhou, Vince D. Calhoun, Aiying Zhang, Yu-Ping Wang
2024 J jnl
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2024 J jnl
Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition.
IEEE Trans. Biomed. Eng.
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2024 J jnl
Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis.
Medical Image Anal.
Wei Wang, Li Xiao, Gang Qu, Vince D. Calhoun, Yu-Ping Wang, Xiaoyan Sun
2024 J jnl
Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning.
Neurocomputing
Zhongchen Zhao, Huai Chen, Yu-Ping Wang, Deyu Meng, Xi Qi Gao, Qi Yu, Lisheng Wang
2023 J jnl
An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development.
Neural Networks
Faming Xu, Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2023 J jnl
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2023 J jnl
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity.
Medical Image Anal.
Chen Qiao, Bin Gao, Yuechen Liu, Xin-Yu Hu, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
2023 J jnl
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms.
IEEE Trans. Biomed. Eng.
Lan Yang, Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2023 J jnl
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity.
CoRR
Anton Orlichenko, Grant Daly, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang
2023 — conf
ImageNomer: developing an interactive graphical analysis tool for examining fMRI and omics data.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Anton Orlichenko, Grant Daly, Jack W. Freeman, Yu-Ping Wang
2023 J jnl
Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xueli Song, Rongpeng Li, Kaiming Wang, Yuntong Bai, Yuzhu Xiao, Yu-Ping Wang
2023 J jnl
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction.
IEEE Trans. Biomed. Eng.
Anton Orlichenko, Gang Qu, Gemeng Zhang, Binish Patel, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2023 J jnl
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics
Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2022 J jnl
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2022 — conf
An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields.
EMBC
Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali
2022 J jnl
An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders.
Medical Image Anal.
Liangliang Liu, Yu-Ping Wang, Yi Wang, Pei Zhang, Shufeng Xiong
2022 J jnl
Brain Functional Connectivity Analysis via Graphical Deep Learning.
IEEE Trans. Biomed. Eng.
Gang Qu, Wenxing Hu, Li Xiao, Junqi Wang, Yuntong Bai, Beenish Patel, Kun Zhang, Yu-Ping Wang
2022 J jnl
Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images.
IEEE J. Biomed. Health Informatics
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
2022 J jnl
DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal.
Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison X. Bai, Yu-Ping Wang, Jianxin Wang
2022 J jnl
Deep Learning in Neuroimaging: Promises and challenges.
IEEE Signal Process. Mag.
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
2022 J jnl
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.
NeuroImage
Gemeng Zhang, Biao Cai, Aiying Zhang, Zhuozhuo Tu, Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2022 J jnl
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.
IEEE Trans. Biomed. Eng.
Li Xiao, Biao Cai, Gang Qu, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2022 J jnl
Eyes-closed versus eyes-open differences in spontaneous neural dynamics during development.
NeuroImage
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
2022 J jnl
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Peng Peng, Yipu Zhang, Yongfeng Ju, Kaiming Wang, Gang Li, Vince D. Calhoun, Yu-Ping Wang
2022 J jnl
Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence.
NeuroImage
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
2022 — conf
Longitudinal Changes in Resting State FMRI Spectra in Children.
EMBC
Oktay Agcaoglu, Tony W. Wilson, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun
2022 J jnl
Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents.
NeuroImage
Brittany K. Taylor, Elizabeth Heinrichs-Graham, Jacob A. Eastman, Michaela R. Frenzel, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
2022 J jnl
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint.
IEEE Trans. Medical Imaging
Yue Han, Qiu-Hua Lin, Li-Dan Kuang, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
2022 J jnl
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal.
Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison X. Bai, Yu-Ping Wang, Qifeng Wang, Jianxin Wang
2022 J jnl
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study.
IEEE Trans. Medical Imaging
Yipu Zhang, Haowei Zhang, Li Xiao, Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang
2022 — conf
Multimodal graph isomorphism network to study fMRI connectivity in developmental stages of adolescence.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Beenish Patel, Anton Orlichenko, Yu-Ping Wang
2022 — conf
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Anton Orlichenko, Gang Qu, Yu-Ping Wang
2022 J jnl
The development of sensorimotor cortical oscillations is mediated by pubertal testosterone.
NeuroImage
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
2021 J jnl
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.
IEEE Trans. Medical Imaging
Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Aiying Zhang, Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development.
Neurocomputing
Chen Qiao, Xin-Yu Hu, Li Xiao, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
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
Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
2021 J jnl
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms.
CoRR
Chen Zhao, Haipeng Tang, Daniel McGonigle, Zhuo He, Chaoyang Zhang, Yu-Ping Wang, Hong-Wen Deng, Robert Bober, Weihua Zhou
2021 J jnl
Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data.
IEEE Trans. Biomed. Eng.
Li Xiao, Aiying Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng.
Gang Qu, Li Xiao, Wenxing Hu, Junqi Wang, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
HOPS: A Fast Algorithm for Segmenting Piecewise Polynomials of Arbitrary Orders.
IEEE Access
Junbo Duan, Qing Wang, Yu-Ping Wang
2021 J jnl
Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition.
IEEE Trans. Medical Imaging
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
2021 J jnl
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study.
IEEE J. Biomed. Health Informatics
Yipu Zhang, Li Xiao, Gemeng Zhang, Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis.
IEEE Trans. Biomed. Eng.
Guixia Pan, Li Xiao, Yuntong Bai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2021 J jnl
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.
Neural Networks
Chen Qiao, Lan Yang, Vince D. Calhoun, Zong-Ben Xu, Yu-Ping Wang
2021 J jnl
Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence.
NeuroImage
Lauren R. Ott, Samantha H. Penhale, Brittany K. Taylor, Brandon J. Lew, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson
2021 C conf
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.
BIBE
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
2021 J jnl
Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve.
SIAM J. Math. Data Sci.
Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner
2021 J jnl
The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain.
NeuroImage
Julia M. Stephen, Isabel 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, Jingyu Liu, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
2020 J jnl
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence.
CoRR
Aiying Zhang, Gemeng Zhang, Biao Cai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020 B conf
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity.
Image Processing
Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms.
IEEE Trans. Biomed. Eng.
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 — conf
A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Gemeng Zhang, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets.
CoRR
Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
2020 — conf
A graph deep learning model for the classification of groups with different IQ using resting state fMRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Gang Qu, Wenxing Hu, Li Xiao, Yu-Ping Wang
2020 — conf
A hypergraph learning method for brain functional connectivity network construction from fMRI data.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
A survey on U-shaped networks in medical image segmentations.
Neurocomputing
Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2020 J jnl
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia.
Comput. Methods Programs Biomed.
Gang Li, Depeng Han, Chao Wang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Biomarker Identification Through Integrating fMRI and Epigenetics.
IEEE Trans. Biomed. Eng.
Yuntong Bai, Pascal Zille, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity.
IEEE J. Biomed. Health Informatics
Yipu Zhang, Peng Peng, Yongfeng Ju, Gang Li, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).
CoRR
Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Causality based Feature Fusion for Brain Neuro-Developmental Analysis.
CoRR
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis.
IEEE Trans. Medical Imaging
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration.
IEEE Access
Gang Li, Chao Wang, De-Peng Han, Yi-Pu Zhang, Peng Peng, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Development and sex modulate visuospatial oscillatory dynamics in typically-developing children and adolescents.
NeuroImage
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
2020 J jnl
Dynamic Resting-State Connectivity Differences in Eyes Open Versus Eyes Closed Conditions.
Brain Connect.
Oktay Agcaoglu, Tony W. Wilson, Yu-Ping Wang, Julia M. Stephen, Vince D. Calhoun
2020 J jnl
Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model.
IEEE Trans. Medical Imaging
Gemeng Zhang, Biao Cai, Aiying Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
CoRR
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
2020 J jnl
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
IEEE Trans. Signal Process.
Li Xiao, Xiang-Gen Xia, Yu-Ping Wang
2020 — conf
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Junqi Wang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Min Wang, Ting-Zhu Huang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang
2020 — conf
Integration of multi-task fMRI for cognitive study by structure-enforced collaborative regression.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Interpretable multimodal fusion networks reveal mechanisms of brain cognition.
CoRR
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence.
IEEE Trans. Medical Imaging
Aiying Zhang, Biao Cai, Wenxing Hu, Bochao Jia, Faming Liang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Log-sum enhanced sparse deep neural network.
Neurocomputing
Chen Qiao, Yan Shi, Yu-Xian Diao, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data.
IEEE Trans. Medical Imaging
Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images.
IEEE J. Biomed. Health Informatics
Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2020 J jnl
Multimodal Sparse Classifier for Adolescent Brain Age Prediction.
IEEE J. Biomed. Health Informatics
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
2020 J jnl
Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data.
IEEE Trans. Medical Imaging
Yuntong Bai, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.
NeuroImage
Zhongxing Zhou, Biao Cai, Gemeng Zhang, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
2020 — conf
Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Peyman Hosseinzadeh Kassani, Vince D. Calhoun, Yu-Ping Wang
2020 J jnl
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint.
IEEE Trans. Medical Imaging
Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun
2019 J jnl
A Joint Least Squares and Least Absolute Deviation Model.
IEEE Signal Process. Lett.
Junbo Duan, Jérôme Idier, Yu-Ping Wang, Mingxi Wan
2019 J jnl
A Parallelizable Framework for Segmenting Piecewise Signals.
IEEE Access
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier, Yu-Ping Wang, Mingxi Wan
2019 J jnl
Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model.
IEEE J. Biomed. Health Informatics
Aiying Zhang, Jian Fang, Faming Liang, Vince D. Calhoun, Yu-Ping Wang
2019 J jnl
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.
IEEE Trans. Biomed. Eng.
Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2019 J jnl
Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study.
Brain Connect.
Ashkan Faghiri, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
2019 J jnl
Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso.
IEEE Trans. Biomed. Eng.
Biao Cai, Gemeng Zhang, Aiying Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2019 J jnl
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development.
IEEE Trans. Biomed. Eng.
Wenxing Hu, Biao Cai, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang
2019 — conf
Extraction of co-expressed discriminative features of Schizophrenia in imaging epigenetics framework.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Yuntong Bai, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
2019 B conf
Improved estimation of dynamic connectivity from resting-state fMRI data.
Image Processing
Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2019 J jnl
Multimodal Sparse Classifier for Adolescent Brain Age Prediction.
CoRR
Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang
2019 J jnl
Neural dynamics of verbal working memory processing in children and adolescents.
NeuroImage
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
2019 J jnl
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics.
J. Bioinform. Comput. Biol.
Md. Ashad Alam, Osamu Komori, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2019 J jnl
The developmental trajectory of sensorimotor cortical oscillations.
NeuroImage
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
2019 — conf
Using Gradient as a New Metric for Dynamic Connectivity Estimation from Resting fMRI Data.
ISBI
Ashkan Faghiri, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun
2018 J jnl
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control.
IEEE ACM Trans. Comput. Biol. Bioinform.
Alexej Gossmann, Shaolong Cao, Damian Brzyski, Lan-Juan Zhao, Hong-Wen Deng, Yu-Ping Wang
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 — conf
Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis.
ISBI
Jian Fang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits.
Bioinform.
Chao Xu, Jian Fang, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
2018 J jnl
Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework.
IEEE Trans. Medical Imaging
Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Estimation of Dynamic Sparse Connectivity Patterns From Resting State fMRI.
IEEE Trans. Medical Imaging
Biao Cai, Pascal Zille, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics.
IEEE Trans. Medical Imaging
Alexej Gossmann, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation.
IEEE Trans. Medical Imaging
Jian Fang, Chao Xu, Pascal Zille, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Fused Estimation of Sparse Connectivity Patterns From Rest fMRI - Application to Comparison of Children and Adult Brains.
IEEE Trans. Medical Imaging
Pascal Zille, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2018 — conf
High dimensional latent Gaussian copula model for mixed data in imaging genetics.
ISBI
Aiying Zhang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics.
Comput. Stat. Data Anal.
Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Influence function and robust variant of kernel canonical correlation analysis.
Neurocomputing
Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
2018 J jnl
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease.
IEEE ACM Trans. Comput. Biol. Bioinform.
Su-Ping Deng, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
2018 — conf
Integration of network topological features and graph Fourier transform for fMRI data analysis.
ISBI
Junqi Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2018 J jnl
Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers.
IEEE J. Biomed. Health Informatics
Jian Fang, Ji-Gang Zhang, Hong-Wen Deng, Yu-Ping Wang
2018 — conf
Multi-modal Brain Connectivity Study Using Deep Collaborative Learning.
GRAIL/Beyond-MIC@MICCAI
Wenxing Hu, Biao Cai, Vince D. Calhoun, Yu-Ping Wang
2018 J jnl
Spectral Resolution Clustering for Brain Parcellation.
CoRR
Keith Dillon, Yu-Ping Wang
2017 J jnl
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.
BMC Bioinform.
Hao He, Dongdong Lin, Ji-Gang Zhang, Yu-Ping Wang, Hong-Wen Deng
2017 — conf
Coupled Dimensionality-Reduction Model for Imaging Genomics.
GRAIL/MFCA/MICGen@MICCAI
Pascal Zille, Yu-Ping Wang
2017 Misc conf
Enforcing Co-expression in Multimodal Regression Framework.
PSB
Pascal Zille, Vince D. Calhoun, Yu-Ping Wang
2017 Misc conf
Fused estimation of sparse connectivity patterns from rest fMRI.
ICASSP
Pascal Zille, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
2017 J jnl
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Su-Ping Deng, Shaolong Cao, De-Shuang Huang, Yu-Ping Wang
2017 J jnl
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design.
IEEE Trans. Vis. Comput. Graph.
Shouren Lan, Lisheng Wang, Yipeng Song, Yu-Ping Wang, Liping Yao, Kun Sun, Bin Xia, Zongben Xu
2017 Misc conf
Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization.
ICASSP
Min Wang, Ting-Zhu Huang, Vince D. Calhoun, Jian Fang, Yu-Ping Wang
2016 J jnl
A Sparse Model Based Detection of Copy Number Variations From Exome Sequencing Data.
IEEE Trans. Biomed. Eng.
Junbo Duan, Mingxi Wan, Hong-Wen Deng, Yu-Ping Wang
2016 — conf
An image resolution perspective on functional activity mapping.
EMBC
Keith Dillon, Yu-Ping Wang
2016 J jnl
An integrative imputation method based on multi-omics datasets.
BMC Bioinform.
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Chao Xu, Hong-Wen Deng, Yu-Ping Wang
2016 J jnl
Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity.
J. Electronic Imaging
Keith Dillon, Yeshaiahu Fainman, Yu-Ping Wang
2016 — conf
Diagnosing schizophrenia by integrating genomic and imaging data through network fusion.
BIBM
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 J jnl
Generalized LASSO with under-determined regularization matrices.
Signal Process.
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier, Mingxi Wan, Yu-Ping Wang
2016 J jnl
Imposing uniqueness to achieve sparsity.
Signal Process.
Keith Dillon, Yu-Ping Wang
2016 — conf
Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data.
BCB
Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study.
EMBC
Wenxing Hu, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 J jnl
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinform.
Jian Fang, Dongdong Lin, S. Charles Schulz, Zongben Xu, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Learning schizophrenia imaging genetics data via Multiple Kernel Canonical Correlation Analysis.
BIBM
Owen Richfield, Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
On efficient meta-filtering of big data.
EMBC
Keith Dillon, Yu-Ping Wang
2016 — conf
Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data.
EMBC
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data.
BCB
Md. Ashad Alam, Osamu Komori, Vince D. Calhoun, Yu-Ping Wang
2016 — conf
Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration.
BIBM
Su-Ping Deng, Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2016 J jnl
The general critical analysis for continuous-time UPPAM recurrent neural networks.
Neurocomputing
Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang
2016 J jnl
Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations.
Bioinform.
Shaolong Cao, Huaizhen Qin, Alexej Gossmann, Hong-Wen Deng, Yu-Ping Wang
2015 — conf
An optimal method to segment piecewise poisson distributed signals with application to sequencing data.
EMBC
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier, Yu-Ping Wang, Mingxi Wan
2015 — conf
Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model.
ISBI
Dongdong Lin, Jingyao Li, Vince D. Calhoun, Yu-Ping Wang
2015 — conf
Identification of significant genetic variants via SLOPE, and its extension to group SLOPE.
BCB
Alexej Gossmann, Shaolong Cao, Yu-Ping Wang
2015 J jnl
MicroRNA-mRNA interaction analysis to detect potential dysregulation in complex diseases.
Netw. Model. Anal. Health Informatics Bioinform.
Wenlong Tang, Chao Xu, Yu-Ping Wang, Hong-Wen Deng, Ji-Gang Zhang
2015 — conf
Segmentation of Multicolor Fluorescence In-Situ Hybridization (M-FISH) image using an improved Fuzzy C-means clustering algorithm while incorporating both spatial and spectral information.
BIBM
Jingyao Li, Dongdong Lin, Yu-Ping Wang
2015 — conf
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks.
BIBM
Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang
2015 — conf
Unified tests for fine scale mapping and identifying sparse high-dimensional sequence associations.
BCB
Shaolong Cao, Huaizhen Qin, Alexej Gossmann, Hong-Wen Deng, Yu-Ping Wang
2014 J jnl
Common Copy Number Variation Detection From Multiple Sequenced Samples.
IEEE Trans. Biomed. Eng.
Junbo Duan, Hong-Wen Deng, Yu-Ping Wang
2014 J jnl
Correspondence between fMRI and SNP data by group sparse canonical correlation analysis.
Medical Image Anal.
Dongdong Lin, Vince D. Calhoun, Yu-Ping Wang
2014 J jnl
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image.
IEEE Trans. Vis. Comput. Graph.
Lisheng Wang, Pai Wang, Liuhang Cheng, Yu Ma, Shenzhi Wu, Yu-Ping Wang, Zongben Xu
2014 J jnl
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model.
Bioinform.
Lei Zhang, Yu-Fang Pei, Xiaoying Fu, Yong Lin, Yu-Ping Wang, Hong-Wen Deng
2014 J jnl
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model.
Bioinform.
Lei Zhang, Yu-Fang Pei, Xiaoying Fu, Yong Lin, Yu-Ping Wang, Hong-Wen Deng
2014 J jnl
Population clustering based on copy number variations detected from next generation sequencing data.
J. Bioinform. Comput. Biol.
Junbo Duan, Ji-Gang Zhang, Mingxi Wan, Hong-Wen Deng, Yu-Ping Wang
2014 — conf
Scaled sparse high-dimensional tests for localizing sequence variants.
BCB
Shaolong Cao, Huaizhen Qin, Jian Li, Hong-Wen Deng, Yu-Ping Wang
2014 J jnl
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.
NeuroImage
Hongbao Cao, Junbo Duan, Dongdong Lin, Yin Yao Shugart, Vince D. Calhoun, Yu-Ping Wang
2013 — conf
A generalized sparse regression model with adjustment of pedigree structure for variant detection from next generation sequencing data.
BCB
Shaolong Cao, Huaizhen Qin, Hong-Wen Deng, Yu-Ping Wang
2013 J jnl
An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification.
BMC Syst. Biol.
Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang
2013 J jnl
CNV-TV: A robust method to discover copy number variation from short sequencing reads.
BMC Bioinform.
Junbo Duan, Ji-Gang Zhang, Hong-Wen Deng, Yu-Ping Wang
2013 — conf
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model with different constrains.
ISBI
Jingyao Li, Dongdong Lin, Yu-Ping Wang
2013 J jnl
Group sparse canonical correlation analysis for genomic data integration.
BMC Bioinform.
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Hong-Wen Deng, Yu-Ping Wang
2013 — conf
Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis.
ISBI
Dongdong Lin, Ji-Gang Zhang, Jingyao Li, Vince D. Calhoun, Yu-Ping Wang
2013 — conf
Modeling exome sequencing data with generalized Gaussian distribution with application to copy number variation detection.
BIBM
Junbo Duan, Mingxi Wan, Hong-Wen Deng, Yu-Ping Wang
2013 — conf
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia.
BIBM
Dongdong Lin, Hao He, Jingyao Li, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2013 — conf
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data.
ISBI
Hongbao Cao, Junbo Duan, Dongdong Lin, Vincent D. Calhoun, Yu-Ping Wang
2013 J jnl
Subtyping glioblastoma by combining miRNA and mRNA expression data using compressed sensing-based approach.
EURASIP J. Bioinform. Syst. Biol.
Wenlong Tang, Junbo Duan, Ji-Gang Zhang, Yu-Ping Wang
2012 — conf
Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs.
BIBM
Hongbao Cao, Dongdong Lin, Junbo Duan, Yu-Ping Wang, Vince D. Calhoun
2012 — conf
Classification of multicolor fluorescence
BCB
Jingyao Li, Hongbao Cao, Yu-Ping Wang
2012 — conf
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model.
BIBM
Jingyao Li, Dongdong Lin, Hongbao Cao, Yu-Ping Wang
2012 — conf
Copy number variation estimation from multiple next-generation sequencing samples.
BCB
Junbo Duan, Ji-Gang Zhang, Hongbao Cao, Hong-Wen Deng, Yu-Ping Wang
2012 — conf
Detection of common copy number variation with application to population clustering from next generation sequencing data.
EMBC
Junbo Duan, Ji-Gang Zhang, Hong-Wen Deng, Yu-Ping Wang
2012 — conf
Identification of genes for complex diseases by integrating multiple types of genomic data.
EMBC
Hongbao Cao, Shufeng Lei, Hong-Wen Deng, Yu-Ping Wang
2012 J jnl
On LARS/Homotopy Equivalence Conditions for Over-Determined LASSO.
IEEE Signal Process. Lett.
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier, Yu-Ping Wang
2012 J jnl
Segmentation of M-FISH Images for Improved Classification of Chromosomes With an Adaptive Fuzzy C-means Clustering Algorithm.
IEEE Trans. Fuzzy Syst.
Hyohoon Cao, H. Deng, Yu-Ping Wang
2012 J jnl
Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date.
Int. J. Comput. Their Appl.
Hongbao Cao, Junbo Duan, Dongdong Lin, Yu-Ping Wang
2011 J jnl
A Compressed Sensing Based Approach for Subtyping of Leukemia from gene Expression Data.
J. Bioinform. Comput. Biol.
Wenlong Tang, Hongbao Cao, Junbo Duan, Yu-Ping Wang
2011 J jnl
A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem.
CoRR
Junbo Duan, Charles Soussen, David Brie, Jérôme Idier, Yu-Ping Wang
2011 — conf
Classification of Schizophrenia Patients with Combined Analysis of SNP and fMRI Data Based on Sparse Representation.
BIBM
Dongdong Lin, Hongbao Cao, Yu-Ping Wang, Vince D. Calhoun
2011 — conf
Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach.
BIBM Workshops
Wenlong Tang, Hongbao Cao, Ji-Gang Zhang, Junbo Duan, Dongdong Lin, Yu-Ping Wang
2011 — conf
Detection of Gait Abnormalities in Sprague-Dawley Rats after 6-hydroxydopamine Injection and the Experiment Efficient Design.
HISB
Wenlong Tang, Yu-Ping Wang, Uri Tasch, Nagaraj K. Neerchal, Paul Yarowsky
2011 — conf
Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization.
BIBM Workshops
Junbo Duan, Ji-Gang Zhang, John Lefante, Hong-Wen Deng, Yu-Ping Wang
2011 J jnl
Integrated Analysis of Gene Expression and Copy Number Data on Gene Shaving Using Independent Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jinhua Sheng, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang
2011 — conf
Integrated Analysis of Gene Expression and Copy Number Data using Sparse Representation Based Clustering Model.
BICoB
Hongbao Cao, Yu-Ping Wang
2011 — conf
M-Fish Image Analysis with Improved Adaptive Fuzzy C-Means Clustering Based Segmentation and Sparse Representation Classification.
BICoB
Hongbao Cao, Yu-Ping Wang
2011 — conf
Segmentation of M-FISH Images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm.
ISBI
Hongbao Cao, Yu-Ping Wang
2011 — conf
Subtyping of Leukemia with Gene Expression Analysis Using Compressive Sensing Method.
HISB
Wenlong Tang, Hongbao Cao, Yu-Ping Wang
2010 J jnl
A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process.
EURASIP J. Bioinform. Syst. Biol.
Jie Chen, Ayten Yigiter, Yu-Ping Wang, Hong-Wen Deng