A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process. - Jie Chen 008; Ayten Yigiter; Yu-Ping Wang 002; Hong-Wen Deng (EURASIP J. Bioinform. Syst. Biol., 2010)

Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization. - Junbo Duan; Ji-Gang Zhang; John Lefante; Hong-Wen Deng; Yu-Ping Wang 002 (BIBM Workshops, 2011)

Classification of Schizophrenia Patients with Combined Analysis of SNP and fMRI Data Based on Sparse Representation. - Dongdong Lin; Hongbao Cao; Yu-Ping Wang 002; Vince D. Calhoun (BIBM, 2011)

Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach. - Wenlong Tang; Hongbao Cao; Ji-Gang Zhang; Junbo Duan; Dongdong Lin; Yu-Ping Wang 002 (BIBM Workshops, 2011)

M-Fish Image Analysis with Improved Adaptive Fuzzy C-Means Clustering Based Segmentation and Sparse Representation Classification. - Hongbao Cao; Yu-Ping Wang 002 (BICoB, 2011)

Integrated Analysis of Gene Expression and Copy Number Data using Sparse Representation Based Clustering Model. - Hongbao Cao; Yu-Ping Wang 002 (BICoB, 2011)

Subtyping of Leukemia with Gene Expression Analysis Using Compressive Sensing Method. - Wenlong Tang; Hongbao Cao; Yu-Ping Wang 002 (HISB, 2011)

Detection of Gait Abnormalities in Sprague-Dawley Rats after 6-hydroxydopamine Injection and the Experiment Efficient Design. - Wenlong Tang; Yu-Ping Wang 002; Uri Tasch; Nagaraj K. Neerchal; Paul Yarowsky (HISB, 2011)

Segmentation of M-FISH Images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm. - Hongbao Cao; Yu-Ping Wang 002 (ISBI, 2011)

A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem. - Junbo Duan; Charles Soussen; David Brie; Jérôme Idier; Yu-Ping Wang 002 (CoRR, 2011)

A Compressed Sensing Based Approach for Subtyping of Leukemia from gene Expression Data. - Wenlong Tang; Hongbao Cao; Junbo Duan; Yu-Ping Wang 002 (J. Bioinform. Comput. Biol., 2011)

Integrated Analysis of Gene Expression and Copy Number Data on Gene Shaving Using Independent Component Analysis. - Jinhua Sheng; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Copy number variation estimation from multiple next-generation sequencing samples. - Junbo Duan; Ji-Gang Zhang; Hongbao Cao; Hong-Wen Deng; Yu-Ping Wang 002 (BCB, 2012)

Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using regularized multinomial logistic regression. - Jingyao Li; Hongbao Cao; Yu-Ping Wang 002 (BCB, 2012)

Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs. - Hongbao Cao; Dongdong Lin; Junbo Duan; Yu-Ping Wang 002; Vince D. Calhoun (BIBM, 2012)

Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model. - Jingyao Li; Dongdong Lin; Hongbao Cao; Yu-Ping Wang 002 (BIBM, 2012)

Identification of genes for complex diseases by integrating multiple types of genomic data. - Hongbao Cao; Shufeng Lei; Hong-Wen Deng; Yu-Ping Wang 002 (EMBC, 2012)

Detection of common copy number variation with application to population clustering from next generation sequencing data. - Junbo Duan; Ji-Gang Zhang; Hong-Wen Deng; Yu-Ping Wang 002 (EMBC, 2012)

Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date. - Hongbao Cao; Junbo Duan; Dongdong Lin; Yu-Ping Wang 002 (Int. J. Comput. Their Appl., 2012)

On LARS/Homotopy Equivalence Conditions for Over-Determined LASSO. - Junbo Duan; Charles Soussen; David Brie; Jérôme Idier; Yu-Ping Wang 002 (IEEE Signal Process. Lett., 2012)

Segmentation of M-FISH Images for Improved Classification of Chromosomes With an Adaptive Fuzzy C-means Clustering Algorithm. - Hyohoon Cao; H. Deng; Yu-Ping Wang 002 (IEEE Trans. Fuzzy Syst., 2012)

A generalized sparse regression model with adjustment of pedigree structure for variant detection from next generation sequencing data. - Shaolong Cao; Huaizhen Qin; Hong-Wen Deng; Yu-Ping Wang 002 (BCB, 2013)

Modeling exome sequencing data with generalized Gaussian distribution with application to copy number variation detection. - Junbo Duan; Mingxi Wan; Hong-Wen Deng; Yu-Ping Wang 002 (BIBM, 2013)

Network-based investigation of genetic modules associated with functional brain networks in schizophrenia. - Dongdong Lin; Hao He 002; Jingyao Li; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (BIBM, 2013)

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data. - Hongbao Cao; Junbo Duan; Dongdong Lin; Vincent D. Calhoun; Yu-Ping Wang 002 (ISBI, 2013)

Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model with different constrains. - Jingyao Li; Dongdong Lin; Yu-Ping Wang 002 (ISBI, 2013)

Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis. - Dongdong Lin; Ji-Gang Zhang; Jingyao Li; Vince D. Calhoun; Yu-Ping Wang 002 (ISBI, 2013)

CNV-TV: A robust method to discover copy number variation from short sequencing reads. - Junbo Duan; Ji-Gang Zhang; Hong-Wen Deng; Yu-Ping Wang 002 (BMC Bioinform., 2013)

Group sparse canonical correlation analysis for genomic data integration. - Dongdong Lin; Ji-Gang Zhang; Jingyao Li; Vince D. Calhoun; Hong-Wen Deng; Yu-Ping Wang 002 (BMC Bioinform., 2013)

An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification. - Jingyao Li; Dongdong Lin; Hongbao Cao; Yu-Ping Wang 002 (BMC Syst. Biol., 2013)

Subtyping glioblastoma by combining miRNA and mRNA expression data using compressed sensing-based approach. - Wenlong Tang; Junbo Duan; Ji-Gang Zhang; Yu-Ping Wang 002 (EURASIP J. Bioinform. Syst. Biol., 2013)

Scaled sparse high-dimensional tests for localizing sequence variants. - Shaolong Cao; Huaizhen Qin; Jian Li 012; Hong-Wen Deng; Yu-Ping Wang 002 (BCB, 2014)

FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model. - Lei Zhang 041; Yu-Fang Pei; Xiaoying Fu; Yong Lin; Yu-Ping Wang 002; Hong-Wen Deng (Bioinform., 2014)

Population clustering based on copy number variations detected from next generation sequencing data. - Junbo Duan; Ji-Gang Zhang; Mingxi Wan; Hong-Wen Deng; Yu-Ping Wang 002 (J. Bioinform. Comput. Biol., 2014)

Correspondence between fMRI and SNP data by group sparse canonical correlation analysis. - Dongdong Lin; Vince D. Calhoun; Yu-Ping Wang 002 (Medical Image Anal., 2014)

Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs. - Hongbao Cao; Junbo Duan; Dongdong Lin; Yin Yao Shugart; Vince D. Calhoun; Yu-Ping Wang 002 (NeuroImage, 2014)

Common Copy Number Variation Detection From Multiple Sequenced Samples. - Junbo Duan; Hong-Wen Deng; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2014)

Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image. - Lisheng Wang; Pai Wang 002; Liuhang Cheng; Yu Ma; Shenzhi Wu; Yu-Ping Wang 002; Zongben Xu (IEEE Trans. Vis. Comput. Graph., 2014)

Identification of significant genetic variants via SLOPE, and its extension to group SLOPE. - Alexej Gossmann; Shaolong Cao; Yu-Ping Wang 002 (BCB, 2015)

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. - Jingyao Li; Dongdong Lin; Yu-Ping Wang 002 (BIBM, 2015)

The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks. - Chen Qiao; Dongdong Lin; Shaolong Cao; Yu-Ping Wang 002 (BIBM, 2015)

An optimal method to segment piecewise poisson distributed signals with application to sequencing data. - Junbo Duan; Charles Soussen; David Brie; Jérôme Idier; Yu-Ping Wang 002; Mingxi Wan (EMBC, 2015)

Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model. - Dongdong Lin; Jingyao Li; Vince D. Calhoun; Yu-Ping Wang 002 (ISBI, 2015)

MicroRNA-mRNA interaction analysis to detect potential dysregulation in complex diseases. - Wenlong Tang; Chao Xu 014; Yu-Ping Wang 002; Hong-Wen Deng; Ji-Gang Zhang (Netw. Model. Anal. Health Informatics Bioinform., 2015)

Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data. - Md. Ashad Alam; Vince D. Calhoun; Yu-Ping Wang 002 (BCB, 2016)

Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data. - Md. Ashad Alam; Osamu Komori; Vince D. Calhoun; Yu-Ping Wang 002 (BCB, 2016)

Diagnosing schizophrenia by integrating genomic and imaging data through network fusion. - Su-Ping Deng; Dongdong Lin; Vince D. Calhoun; Yu-Ping Wang 002 (BIBM, 2016)

Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration. - Su-Ping Deng; Dongdong Lin; Vince D. Calhoun; Yu-Ping Wang 002 (BIBM, 2016)

Learning schizophrenia imaging genetics data via Multiple Kernel Canonical Correlation Analysis. - Owen Richfield; Md. Ashad Alam; Vince D. Calhoun; Yu-Ping Wang 002 (BIBM, 2016)

Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data. - Su-Ping Deng; Dongdong Lin; Vince D. Calhoun; Yu-Ping Wang 002 (EMBC, 2016)

An image resolution perspective on functional activity mapping. - Keith Dillon; Yu-Ping Wang 002 (EMBC, 2016)

On efficient meta-filtering of big data. - Keith Dillon; Yu-Ping Wang 002 (EMBC, 2016)

Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study. - Wenxing Hu; Dongdong Lin; Vince D. Calhoun; Yu-Ping Wang 002 (EMBC, 2016)

Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations. - Shaolong Cao; Huaizhen Qin; Alexej Gossmann; Hong-Wen Deng; Yu-Ping Wang 002 (Bioinform., 2016)

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. - Jian Fang 001; Dongdong Lin; S. Charles Schulz; Zongben Xu; Vince D. Calhoun; Yu-Ping Wang 002 (Bioinform., 2016)

An integrative imputation method based on multi-omics datasets. - Dongdong Lin; Ji-Gang Zhang; Jingyao Li; Chao Xu 014; Hong-Wen Deng; Yu-Ping Wang 002 (BMC Bioinform., 2016)

The general critical analysis for continuous-time UPPAM recurrent neural networks. - Chen Qiao; Wenfeng Jing; Jian Fang 001; Yu-Ping Wang 002 (Neurocomputing, 2016)

Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity. - Keith Dillon; Yeshaiahu Fainman; Yu-Ping Wang 002 (J. Electronic Imaging, 2016)

Imposing uniqueness to achieve sparsity. - Keith Dillon; Yu-Ping Wang 002 (Signal Process., 2016)

Generalized LASSO with under-determined regularization matrices. - Junbo Duan; Charles Soussen; David Brie; Jérôme Idier; Mingxi Wan; Yu-Ping Wang 002 (Signal Process., 2016)

A Sparse Model Based Detection of Copy Number Variations From Exome Sequencing Data. - Junbo Duan; Mingxi Wan; Hong-Wen Deng; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2016)

Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization. - Min Wang 022; Ting-Zhu Huang; Vince D. Calhoun; Jian Fang 001; Yu-Ping Wang 002 (ICASSP, 2017)

Fused estimation of sparse connectivity patterns from rest fMRI. - Pascal Zille; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (ICASSP, 2017)

Coupled Dimensionality-Reduction Model for Imaging Genomics. - Pascal Zille; Yu-Ping Wang 002 (GRAIL/MFCA/MICGen@MICCAI, 2017)

Enforcing Co-expression in Multimodal Regression Framework. - Pascal Zille; Vince D. Calhoun; Yu-Ping Wang 002 (PSB, 2017)

Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network. - Hao He 002; Dongdong Lin; Ji-Gang Zhang; Yu-Ping Wang 002; Hong-Wen Deng (BMC Bioinform., 2017)

Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data. - Su-Ping Deng; Shaolong Cao; De-Shuang Huang; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design. - Shouren Lan; Lisheng Wang; Yipeng Song; Yu-Ping Wang 002; Liping Yao; Kun Sun; Bin Xia; Zongben Xu (IEEE Trans. Vis. Comput. Graph., 2017)

Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis. - Jian Fang 001; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (ISBI, 2018)

Integration of network topological features and graph Fourier transform for fMRI data analysis. - Junqi Wang 001; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (ISBI, 2018)

High dimensional latent Gaussian copula model for mixed data in imaging genetics. - Aiying Zhang; Jian Fang 001; Vince D. Calhoun; Yu-Ping Wang 002 (ISBI, 2018)

Multi-modal Brain Connectivity Study Using Deep Collaborative Learning. - Wenxing Hu; Biao Cai; Vince D. Calhoun; Yu-Ping Wang 002 (GRAIL/Beyond-MIC@MICCAI, 2018)

EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits. - Chao Xu 014; Jian Fang 001; Hui Shen 007; Yu-Ping Wang 002; Hong-Wen Deng (Bioinform., 2018)

Spectral Resolution Clustering for Brain Parcellation. - Keith Dillon; Yu-Ping Wang 002 (CoRR, 2018)

Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics. - Md. Ashad Alam; Vince D. Calhoun; Yu-Ping Wang 002 (Comput. Stat. Data Anal., 2018)

Influence function and robust variant of kernel canonical correlation analysis. - Md. Ashad Alam; Kenji Fukumizu; Yu-Ping Wang 002 (Neurocomputing, 2018)

Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. - Wenxing Hu; Dongdong Lin; Shaolong Cao; Jingyu Liu 001; Jiayu Chen 003; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. - Su-Ping Deng; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control. - Alexej Gossmann; Shaolong Cao; Damian Brzyski; Lan-Juan Zhao; Hong-Wen Deng; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers. - Jian Fang 001; Ji-Gang Zhang; Hong-Wen Deng; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2018)

Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. - Jian Fang 001; Chao Xu 014; Pascal Zille; Dongdong Lin; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2018)

Estimation of Dynamic Sparse Connectivity Patterns From Resting State fMRI. - Biao Cai; Pascal Zille; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2018)

FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics. - Alexej Gossmann; Pascal Zille; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2018)

Fused Estimation of Sparse Connectivity Patterns From Rest fMRI - Application to Comparison of Children and Adult Brains. - Pascal Zille; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2018)

Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework. - Pascal Zille; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2018)

Using Gradient as a New Metric for Dynamic Connectivity Estimation from Resting fMRI Data. - Ashkan Faghiri; Julia M. Stephen; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun (ISBI, 2019)

Extraction of co-expressed discriminative features of Schizophrenia in imaging epigenetics framework. - Yuntong Bai; Pascal Zille; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Improved estimation of dynamic connectivity from resting-state fMRI data. - Biao Cai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (Image Processing, 2019)

A Parallelizable Framework for Segmenting Piecewise Signals. - Junbo Duan; Charles Soussen; David Brie; Jérôme Idier; Yu-Ping Wang 002; Mingxi Wan (IEEE Access, 2019)

Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study. - Ashkan Faghiri; Julia M. Stephen; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun (Brain Connect., 2019)

Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics. - Md. Ashad Alam; Osamu Komori; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (J. Bioinform. Comput. Biol., 2019)

Robust low-rank decomposition of multi-channel feature matrices for fabric defect detection. - Chunlei Li 002; Chaodie Liu; Guangshuai Gao; Zhoufeng Liu; Yuping Wang 002 (Multim. Tools Appl., 2019)

Neural dynamics of verbal working memory processing in children and adolescents. - Christine M. Embury; Alex I. Wiesman; Amy L. Proskovec; Mackenzie S. Mills; Elizabeth Heinrichs-Graham; Yu-Ping Wang 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson (NeuroImage, 2019)

The developmental trajectory of sensorimotor cortical oscillations. - Michael P. Trevarrow; Max J. Kurz; Timothy J. McDermott; Alex I. Wiesman; Mackenzie S. Mills; Yu-Ping Wang 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson (NeuroImage, 2019)

A Joint Least Squares and Least Absolute Deviation Model. - Junbo Duan; Jérôme Idier; Yu-Ping Wang 002; Mingxi Wan (IEEE Signal Process. Lett., 2019)

Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso. - Biao Cai; Gemeng Zhang; Aiying Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2019)

Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. - Wenxing Hu; Biao Cai; Aiying Zhang; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2019)

Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction. - Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2019)

Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model. - Aiying Zhang; Jian Fang 001; Faming Liang; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2019)

Integration of multi-task fMRI for cognitive study by structure-enforced collaborative regression. - Yuntong Bai; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis. - Peyman Hosseinzadeh Kassani; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

A graph deep learning model for the classification of groups with different IQ using resting state fMRI. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI. - Junqi Wang 001; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

A hypergraph learning method for brain functional connectivity network construction from fMRI data. - Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm. - Gemeng Zhang; Aiying Zhang; Vince D. Calhoun; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity. - Biao Cai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (Image Processing, 2020)

Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration. - Gang Li 029; Chao Wang 042; Depeng Han; Yipu Zhang; Peng Peng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Access, 2020)

Sparse Representation and Dictionary Learning Model Incorporating Group Sparsity and Incoherence to Extract Abnormal Brain Regions Associated With Schizophrenia. - Peng Peng; Yongfeng Ju; Yipu Zhang; Kaiming Wang; Suying Jiang; Yuping Wang 002 (IEEE Access, 2020)

Dynamic Resting-State Connectivity Differences in Eyes Open Versus Eyes Closed Conditions. - Oktay Agcaoglu; Tony W. Wilson; Yu-Ping Wang 002; Julia M. Stephen; Vince D. Calhoun (Brain Connect., 2020)

Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. - Gang Li 029; Depeng Han; Chao Wang 042; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (Comput. Methods Programs Biomed., 2020)

Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). - Li Xiao 002; Xiang-Gen Xia 001; Yu-Ping Wang 002 (CoRR, 2020)

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets. - Md. Ashad Alam; Chuan Qiu; Hui Shen 007; Yu-Ping Wang 002; Hong-Wen Deng (CoRR, 2020)

Interpretable multimodal fusion networks reveal mechanisms of brain cognition. - Wenxing Hu; Xianghe Meng; Yuntong Bai; Aiying Zhang; Biao Cai; Gemeng Zhang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2020)

Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). - Aiying Zhang; Gemeng Zhang; Biao Cai; Wenxing Hu; Li Xiao 002; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2020)

A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence. - Aiying Zhang; Gemeng Zhang; Biao Cai; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2020)

A survey on U-shaped networks in medical image segmentations. - Liangliang Liu 001; Jianhong Cheng; Quan Quan; Fang-Xiang Wu; Yu-Ping Wang 002; Jianxin Wang 001 (Neurocomputing, 2020)

Log-sum enhanced sparse deep neural network. - Chen Qiao; Yan Shi; Yu-Xian Diao; Vince D. Calhoun; Yu-Ping Wang 002 (Neurocomputing, 2020)

Development and sex modulate visuospatial oscillatory dynamics in typically-developing children and adolescents. - Abraham D. Killanin; Alex I. Wiesman; Elizabeth Heinrichs-Graham; Boman R. Groff; Michaela R. Frenzel; Jacob A. Eastman; Yu-Ping Wang 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson (NeuroImage, 2020)

Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI. - Zhongxing Zhou; Biao Cai; Gemeng Zhang; Aiying Zhang; Vince D. Calhoun; Yu-Ping Wang 002 (NeuroImage, 2020)

A high accurate vehicle speed estimation method. - Sheng-Nan Lu; Yuping Wang 002; Huansheng Song (Soft Comput., 2020)

Biomarker Identification Through Integrating fMRI and Epigenetics. - Yuntong Bai; Pascal Zille; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2020)

A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms. - Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2020)

Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization. - Min Wang 022; Ting-Zhu Huang; Jian Fang 001; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Multimodal Sparse Classifier for Adolescent Brain Age Prediction. - Peyman Hosseinzadeh Kassani; Alexej Gossmann; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2020)

Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. - Liangliang Liu 001; Fang-Xiang Wu; Yu-Ping Wang 002; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2020)

Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity. - Yipu Zhang; Peng Peng; Yongfeng Ju; Gang Li 029; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2020)

Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data. - Yuntong Bai; Pascal Zille; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis. - Peyman Hosseinzadeh Kassani; Li Xiao 002; Gemeng Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. - Li-Dan Kuang; Qiu-Hua Lin; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (IEEE Trans. Medical Imaging, 2020)

Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. - Li Xiao 002; Junqi Wang 001; Peyman Hosseinzajeh Kassani; Yipu Zhang; Yuntong Bai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. - Aiying Zhang; Biao Cai; Wenxing Hu; Bochao Jia; Faming Liang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model. - Gemeng Zhang; Biao Cai; Aiying Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2020)

Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT). - Li Xiao 002; Xiang-Gen Xia 001; Yu-Ping Wang 002 (IEEE Trans. Signal Process., 2020)

Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. - Thomas DeRamus; Armin Iraji; Zening Fu; Rogers F. Silva; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002; Yuhui Du; Jingyu Liu 001; Vince D. Calhoun (BIBE, 2021)

HOPS: A Fast Algorithm for Segmenting Piecewise Polynomials of Arbitrary Orders. - Junbo Duan; Qing Wang 033; Yu-Ping Wang 002 (IEEE Access, 2021)

Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2021)

A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms. - Chen Zhao; Haipeng Tang; Daniel McGonigle; Zhuo He; Chaoyang Zhang; Yu-Ping Wang 002; Hong-Wen Deng; Robert Bober; Weihua Zhou (CoRR, 2021)

A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development. - Chen Qiao; Xin-Yu Hu; Li Xiao 002; Vince D. Calhoun; Yu-Ping Wang 002 (Neurocomputing, 2021)

A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis. - Md. Ashad Alam; Chuan Qiu; Hui Shen 007; Yu-Ping Wang 002; Hong-Wen Deng (J. Biomed. Informatics, 2021)

Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence. - Lauren R. Ott; Samantha H. Penhale; Brittany K. Taylor; Brandon J. Lew; Yu-Ping Wang 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson (NeuroImage, 2021)

The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain. - 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 001; et al. (NeuroImage, 2021)

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study. - Chen Qiao; Lan Yang 010; Vince D. Calhoun; Zong-Ben Xu; Yu-Ping Wang 002 (Neural Networks, 2021)

Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve. - Alexej Gossmann; Aria Pezeshk; Yu-Ping Wang 002; Berkman Sahiner (SIAM J. Math. Data Sci., 2021)

Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis. - Guixia Pan; Li Xiao 002; Yuntong Bai; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction. - Gang Qu 002; Li Xiao 002; Wenxing Hu; Junqi Wang 001; Kun Zhang 012; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data. - Li Xiao 002; Aiying Zhang; Biao Cai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2021)

A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics. - Aiying Zhang; Jian Fang 001; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study. - Yipu Zhang; Li Xiao 002; Gemeng Zhang; Biao Cai; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE J. Biomed. Health Informatics, 2021)

A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study. - Yuntong Bai; Yun Gong; Jianchao Bai; Jingyu Liu 001; Hong-Wen Deng; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2021)

Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. - Wenxing Hu; Xianghe Meng; Yuntong Bai; Aiying Zhang; Gang Qu 002; Biao Cai; Gemeng Zhang; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2021)

Longitudinal Changes in Resting State FMRI Spectra in Children. - Oktay Agcaoglu; Tony W. Wilson; Yu-Ping Wang 002; Julia M. Stephen; Vince D. Calhoun (EMBC, 2022)

An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields. - Poomipat Boonyakitanont; Ben Gabrielson; Irina Belyaeva; Parthan Olikkal; Jitkomut Songsiri; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun; Julia M. Stephen; Tülay Adali (EMBC, 2022)

Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. - Anton Orlichenko; Gang Qu 002; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Multimodal graph isomorphism network to study fMRI connectivity in developmental stages of adolescence. - Beenish Patel; Anton Orlichenko; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

DARC: Deep adaptive regularized clustering for histopathological image classification. - Junjian Li; Jin Liu 012; Hailin Yue; Jianhong Cheng; Hulin Kuang; Harrison X. Bai; Yu-Ping Wang 002; Jianxin Wang 001 (Medical Image Anal., 2022)

An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders. - Liangliang Liu 001; Yu-Ping Wang 002; Yi Wang; Pei Zhang; Shufeng Xiong (Medical Image Anal., 2022)

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. - Hailin Yue; Jin Liu 012; Junjian Li; Hulin Kuang; Jinyi Lang; Jianhong Cheng; Lin Peng; Yongtao Han; Harrison X. Bai; Yu-Ping Wang 002; Qifeng Wang; Jianxin Wang 001 (Medical Image Anal., 2022)

The development of sensorimotor cortical oscillations is mediated by pubertal testosterone. - Madison H. Fung; Elizabeth Heinrichs-Graham; Brittany K. Taylor; Michaela R. Frenzel; Jacob A. Eastman; Yu-Ping Wang 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson (NeuroImage, 2022)

Eyes-closed versus eyes-open differences in spontaneous neural dynamics during development. - Nathan M. Petro; Lauren R. Ott; Samantha H. Penhale; Maggie P. Rempe; Christine M. Embury; Giorgia Picci; Yu-Ping Wang 002; Julia M. Stephen; Vince D. Calhoun; Tony W. Wilson (NeuroImage, 2022)

Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence. - Brittany K. Taylor; Michaela R. Frenzel; Jacob A. Eastman; Christine M. Embury; Oktay Agcaoglu; Yu-Ping Wang 002; Julia M. Stephen; Vince D. Calhoun; Tony W. Wilson (NeuroImage, 2022)

Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents. - Brittany K. Taylor; Elizabeth Heinrichs-Graham; Jacob A. Eastman; Michaela R. Frenzel; Yu-Ping Wang 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson (NeuroImage, 2022)

Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. - Gemeng Zhang; Biao Cai; Aiying Zhang; Zhuozhuo Tu; Li Xiao 002; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (NeuroImage, 2022)

Deep Learning in Neuroimaging: Promises and challenges. - Weizheng Yan; Gang Qu 002; Wenxing Hu; Anees Abrol; Biao Cai; Chen Qiao; Sergey M. Plis; Yu-Ping Wang 002; Jing Sui; Vince D. Calhoun (IEEE Signal Process. Mag., 2022)

Brain Functional Connectivity Analysis via Graphical Deep Learning. - Gang Qu 002; Wenxing Hu; Li Xiao 002; Junqi Wang 001; Yuntong Bai; Beenish Patel; Kun Zhang 012; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies. - Li Xiao 002; Biao Cai; Gang Qu 002; Gemeng Zhang; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2022)

An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. - Liangliang Liu 001; Shaojie Tang 002; Fang-Xiang Wu; Yu-Ping Wang 002; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis. - Peng Peng; Yipu Zhang; Yongfeng Ju; Kaiming Wang; Gang Li 029; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images. - Yuchen Pei; Guocheng Shi; Wenjin Xia; Chen Wen; Dazhen Sun; Fang Zhu; Jiang Li; Zhongqun Zhu; Xiaoqing Liu; Meiping Huang; Yu-Ping Wang 002; Huiwen Chen; et al. (IEEE J. Biomed. Health Informatics, 2022)

Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (IEEE Trans. Medical Imaging, 2022)

Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study. - Yipu Zhang; Haowei Zhang; Li Xiao 002; Yuntong Bai; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2022)

ImageNomer: developing an interactive graphical analysis tool for examining fMRI and omics data. - Anton Orlichenko; Grant Daly; Jack W. Freeman; Yu-Ping Wang 002 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2023)

ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity. - Anton Orlichenko; Grant Daly; Anqi Liu; Hui Shen 007; Hong-Wen Deng; Yu-Ping Wang 002 (CoRR, 2023)

Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia. - Xueli Song; Rongpeng Li; Kaiming Wang; Yuntong Bai; Yuzhu Xiao; Yu-Ping Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. - Irina Belyaeva; Ben Gabrielson; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun; Julia M. Stephen; Tülay Adali (Neuroinformatics, 2023)

Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data. - Irina Belyaeva; Ben Gabrielson; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun; Julia M. Stephen; Tülay Adali (Neuroinformatics, 2023)

An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development. - Faming Xu; Chen Qiao; Huiyu Zhou 001; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (Neural Networks, 2023)

Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. - Anton Orlichenko; Gang Qu 002; Gemeng Zhang; Binish Patel; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2023)

Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms. - Lan Yang 010; Chen Qiao; Huiyu Zhou 001; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2023)

Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. - Chen Qiao; Bin Gao; Yuechen Liu; Xin-Yu Hu; Wenxing Hu; Vince D. Calhoun; Yu-Ping Wang 002 (Medical Image Anal., 2023)

Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis. - Irina Belyaeva; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun; Julia M. Stephen; Tülay Adali (EUSIPCO, 2024)

A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction. - Xingcan Hu; Li Xiao 002; Yu-Ping Wang 002 (ICASSP, 2024)

Adaptive Multiview Community-Preserved Graph Convolutional Network for Multiatlas-Based Functional Connectivity Analysis. - Wei Wang 018; Xingcan Hu; Li Xiao 002; Yu-Ping Wang 002 (ICASSP, 2024)

A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data. - Yue Han; Qiu-Hua Lin; Li-Dan Kuang; Bin-Hua Zhao; Xiao-Feng Gong; Fengyu Cong; Yu-Ping Wang 002; Vince D. Calhoun (Biomed. Signal Process. Control., 2024)

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Aiying Zhang; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. - Ziyu Zhou; Anton Orlichenko; Gang Qu 002; Zening Fu; Vince D. Calhoun; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. - Anton Orlichenko; Gang Qu 002; Ziyu Zhou; Anqi Liu; Hong-Wen Deng; Zhengming Ding; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2024)

Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning. - Zhongchen Zhao; Huai Chen; Yu-Ping Wang 002; Deyu Meng; Xi Qi Gao 001; Qi Yu; Lisheng Wang (Neurocomputing, 2024)

Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis. - Wei Wang 018; Li Xiao 002; Gang Qu 002; Vince D. Calhoun; Yu-Ping Wang 002; Xiaoyan Sun 001 (Medical Image Anal., 2024)

Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. - Longyun Chen; Chen Qiao; Kai Ren; Gang Qu 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (NeuroImage, 2024)

Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Kun Zhang 012; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2024)

Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition. - Irina Belyaeva; Ben Gabrielson; Yu-Ping Wang 002; Tony W. Wilson; Vince D. Calhoun; Julia M. Stephen; Tülay Adali (IEEE Trans. Biomed. Eng., 2024)

A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development. - Yingying Wang; Chen Qiao; Gang Qu 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (IEEE Trans. Biomed. Eng., 2024)

MJNMF-GAT: Multi-Task Joint Non-Negative Matrix Factorization Graph Attention Network for Understanding Adolescent Neurodevelopment. - Binish Patel; Tony W. Wilson; Julia M. Stephen; Vince D. Calhoun; Yu-Ping Wang 002 (IEEE Access, 2025)

Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks. - Gang Qu 002; Ziyu Zhou; Vince D. Calhoun; Aiying Zhang; Yu-Ping Wang 002 (Medical Image Anal., 2025)

DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks. - Bishal Thapaliya; Robyn L. Miller; Jiayu Chen 003; Yu-Ping Wang 002; Esra Akbas; Ram Sapkota; Bhaskar Ray; Pranav Suresh; Santosh Ghimire; Vince D. Calhoun; Jingyu Liu 001 (Medical Image Anal., 2025)

Tensor dictionary-based heterogeneous transfer learning to study emotion-related gender differences in brain. - Lan Yang 010; Chen Qiao; Takafumi Kanamori; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (Neural Networks, 2025)

A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery. - Faming Xu; Yiding Wang; Chen Qiao; Gang Qu 002; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (CoRR, 2025)

An Explainable Unified Framework of Spatio-Temporal Coupling Learning With Application to Dynamic Brain Functional Connectivity Analysis. - Bin Gao; Aiju Yu; Chen Qiao; Vince D. Calhoun; Julia M. Stephen; Tony W. Wilson; Yu-Ping Wang 002 (IEEE Trans. Medical Imaging, 2025)

Individual Graph Representation Learning for Pediatric Tooth Segmentation From Dental CBCT. - Yusheng Liu; Shu Zhang; Xiyi Wu; Tao Yang 037; Yuchen Pei; Huayan Guo; Yuxian Jiang; Zhien Feng; Wen Xiao; Yu-Ping Wang 002; Lisheng Wang (IEEE Trans. Medical Imaging, 2025)