Yu-Ping Wang
Orcid: 0000-0001-9340-5864Affiliations:
- Tulane University, Department of Biomedical Engineering, New Orleans, LA, USA
According to our database1,
Yu-Ping Wang
authored at least 169 papers
between 2010 and 2024.
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Bibliography
2024
Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks.
IEEE Trans. Medical Imaging, April, 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR, 2024
2023
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity.
Medical Image Anal., December, 2023
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms.
IEEE Trans. Biomed. Eng., August, 2023
Latent Similarity Identifies Important Functional Connections for Phenotype Prediction.
IEEE Trans. Biomed. Eng., June, 2023
An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development.
Neural Networks, February, 2023
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics, January, 2023
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics, January, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity.
CoRR, 2023
ImageNomer: developing an interactive graphical analysis tool for examining fMRI and omics data.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study.
IEEE Trans. Medical Imaging, 2022
Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint.
IEEE Trans. Medical Imaging, 2022
Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images.
IEEE J. Biomed. Health Informatics, 2022
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.
IEEE Trans. Biomed. Eng., 2022
IEEE Trans. Biomed. Eng., 2022
IEEE Signal Process. Mag., 2022
Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.
NeuroImage, 2022
Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents.
NeuroImage, 2022
Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence.
NeuroImage, 2022
Eyes-closed versus eyes-open differences in spontaneous neural dynamics during development.
NeuroImage, 2022
The development of sensorimotor cortical oscillations is mediated by pubertal testosterone.
NeuroImage, 2022
An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders.
Medical Image Anal., 2022
Multimodal graph isomorphism network to study fMRI connectivity in developmental stages of adolescence.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
IEEE Trans. Medical Imaging, 2021
A Joint Analysis of Multi-Paradigm fMRI Data With Its Application to Cognitive Study.
IEEE Trans. Medical Imaging, 2021
Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study.
IEEE J. Biomed. Health Informatics, 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Correlation Guided Graph Learning to Estimate Functional Connectivity Patterns From fMRI Data.
IEEE Trans. Biomed. Eng., 2021
Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction.
IEEE Trans. Biomed. Eng., 2021
Multiview Diffusion Map Improves Prediction of Fluid Intelligence With Two Paradigms of fMRI Analysis.
IEEE Trans. Biomed. Eng., 2021
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., 2021
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.
Neural Networks, 2021
The Developmental Chronnecto-Genomics (Dev-CoG) study: A multimodal study on the developing brain.
NeuroImage, 2021
Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence.
NeuroImage, 2021
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, 2021
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development.
Neurocomputing, 2021
A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms.
CoRR, 2021
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction.
CoRR, 2021
IEEE Access, 2021
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021
2020
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
IEEE Trans. Signal Process., 2020
IEEE Trans. Medical Imaging, 2020
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data.
IEEE Trans. Medical Imaging, 2020
Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity.
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms.
IEEE Trans. Biomed. Eng., 2020
IEEE Trans. Biomed. Eng., 2020
Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.
NeuroImage, 2020
Development and sex modulate visuospatial oscillatory dynamics in typically-developing children and adolescents.
NeuroImage, 2020
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence.
CoRR, 2020
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM).
CoRR, 2020
CoRR, 2020
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets.
CoRR, 2020
Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT).
CoRR, 2020
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia.
Comput. Methods Programs Biomed., 2020
Dynamic Resting-State Connectivity Differences in Eyes Open Versus Eyes Closed Conditions.
Brain Connect., 2020
Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration.
IEEE Access, 2020
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
A hypergraph learning method for brain functional connectivity network construction from fMRI data.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
A graph deep learning model for the classification of groups with different IQ using resting state fMRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Integration of multi-task fMRI for cognitive study by structure-enforced collaborative regression.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model.
IEEE J. Biomed. Health Informatics, 2019
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction.
IEEE Trans. Biomed. Eng., 2019
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development.
IEEE Trans. Biomed. Eng., 2019
Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso.
IEEE Trans. Biomed. Eng., 2019
IEEE Signal Process. Lett., 2019
NeuroImage, 2019
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics.
J. Bioinform. Comput. Biol., 2019
Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study.
Brain Connect., 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Extraction of co-expressed discriminative features of Schizophrenia in imaging epigenetics framework.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Using Gradient as a New Metric for Dynamic Connectivity Estimation from Resting fMRI Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
IEEE Trans. Medical Imaging, 2018
Fused Estimation of Sparse Connectivity Patterns From Rest fMRI - Application to Comparison of Children and Adult Brains.
IEEE Trans. Medical Imaging, 2018
FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics.
IEEE Trans. Medical Imaging, 2018
IEEE Trans. Medical Imaging, 2018
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation.
IEEE Trans. Medical Imaging, 2018
Joint Detection of Associations Between DNA Methylation and Gene Expression From Multiple Cancers.
IEEE J. Biomed. Health Informatics, 2018
A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia.
IEEE Trans. Biomed. Eng., 2018
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics.
Comput. Stat. Data Anal., 2018
EPS-LASSO: test for high-dimensional regression under extreme phenotype sampling of continuous traits.
Bioinform., 2018
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Integration of network topological features and graph Fourier transform for fMRI data analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Detection of differentially developed functional connectivity patterns in adolescents based on tensor discriminative analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design.
IEEE Trans. Vis. Comput. Graph., 2017
Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network.
BMC Bioinform., 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Integration of multiple genomic imaging data for the study of schizophrenia using joint nonnegative matrix factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
IEEE Trans. Biomed. Eng., 2016
Signal Process., 2016
Neurocomputing, 2016
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules.
Bioinform., 2016
Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations.
Bioinform., 2016
Integration of SNPs-FMRI-methylation data with sparse multi-CCA for schizophrenia study.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Predicting schizophrenia by fusing networks from SNPs, DNA methylation and fMRI data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Learning schizophrenia imaging genetics data via Multiple Kernel Canonical Correlation Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Schizophrenia genes discovery by mining the minimum spanning trees from multi-dimensional imaging genomic data integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Diagnosing schizophrenia by integrating genomic and imaging data through network fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Robust Kernel Canonical Correlation Analysis to Detect Gene-Gene Interaction for Imaging Genetics Data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
Influence Function of Multiple Kernel Canonical Analysis to Identify Outliers in Imaging Genetics Data.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2015
MicroRNA-mRNA interaction analysis to detect potential dysregulation in complex diseases.
Netw. Model. Anal. Health Informatics Bioinform., 2015
Detection of genetic factors associated with multiple correlated imaging phenotypes by a sparse regression model.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
An optimal method to segment piecewise poisson distributed signals with application to sequencing data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 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.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Identification of significant genetic variants via SLOPE, and its extension to group SLOPE.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image.
IEEE Trans. Vis. Comput. Graph., 2014
IEEE Trans. Biomed. Eng., 2014
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNPs.
NeuroImage, 2014
Correspondence between fMRI and SNP data by group sparse canonical correlation analysis.
Medical Image Anal., 2014
Population clustering based on copy number variations detected from next generation sequencing data.
J. Bioinform. Comput. Biol., 2014
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model.
Bioinform., 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
2013
Subtyping glioblastoma by combining miRNA and mRNA expression data using compressed sensing-based approach.
EURASIP J. Bioinform. Syst. Biol., 2013
An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification.
BMC Syst. Biol., 2013
BMC Bioinform., 2013
CNV-TV: A robust method to discover copy number variation from short sequencing reads.
BMC Bioinform., 2013
Identifying genetic connections with brain functions in schizophrenia using group sparse canonical correlation analysis.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model with different constrains.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Sparse representation based biomarker selection for schizophrenia with integrated analysis of fMRI and SNP data.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Modeling exome sequencing data with generalized Gaussian distribution with application to copy number variation detection.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
A generalized sparse regression model with adjustment of pedigree structure for variant detection from next generation sequencing data.
Proceedings of the ACM Conference on Bioinformatics, 2013
2012
IEEE Signal Process. Lett., 2012
Sparse Representation Based Clustering for Integrated Analysis of Gene Copy Number Variation and Gene Expression Date.
Int. J. Comput. Their Appl., 2012
Detection of common copy number variation with application to population clustering from next generation sequencing data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Identification of genes for complex diseases by integrating multiple types of genomic data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Classification of multicolor fluorescence in-situ hybridization (M-FISH) image using structure based sparse representation model.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Classification of multicolor fluorescence <i>in-situ</i> hybridization (M-FISH) image using regularized multinomial logistic regression.
Proceedings of the ACM International Conference on Bioinformatics, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Integrated Analysis of Gene Expression and Copy Number Data on Gene Shaving Using Independent Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
A Compressed Sensing Based Approach for Subtyping of Leukemia from gene Expression Data.
J. Bioinform. Comput. Biol., 2011
A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized least-square problem.
CoRR, 2011
Segmentation of M-FISH Images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Detection of Gait Abnormalities in Sprague-Dawley Rats after 6-hydroxydopamine Injection and the Experiment Efficient Design.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
Subtyping of Leukemia with Gene Expression Analysis Using Compressive Sensing Method.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
Integrated Analysis of Gene Expression and Copy Number Data using Sparse Representation Based Clustering Model.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011
M-Fish Image Analysis with Improved Adaptive Fuzzy C-Means Clustering Based Segmentation and Sparse Representation Classification.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011
Classifying six glioma subtypes from combined gene expression and CNVs data based on compressive sensing approach.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Classification of Schizophrenia Patients with Combined Analysis of SNP and fMRI Data Based on Sparse Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
Detection of copy number variation from next generation sequencing data with total variation penalized least square optimization.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process.
EURASIP J. Bioinform. Syst. Biol., 2010