Linwei Wang

发表

How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2010, STACOM/CESC.

Noninvasive electrocardiographic imaging of chronic myocardial infarct scar.

B. Horáček, F. Dawoud, J. Sapp, 2015, Journal of electrocardiology.

Impact of anatomical variations in ventricular shape on non-invasive electrocardiographic imaging

Ken C. L. Wong, Linwei Wang, A. Rahimi, 2012, 2012 Computing in Cardiology.

Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform

Ken C. L. Wong, Huafeng Liu, P. Shi, 2009, Int. J. Funct. Informatics Pers. Medicine.

Non-invasive epicardial and endocardial electrocardiographic imaging for scar-related ventricular tachycardia

Omar A. Gharbia, B. Horáček, S. Nazarian, 2018, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Experimental Data and Geometric Analysis Repository-EDGAR.

R. Macleod, D. Brooks, O. Doessel, 2015, Journal of electrocardiology.

Joint Estimation for Nonlinear Dynamic System from FMRI Time Series

Zhenghui Hu, Heye Zhang, Pengcheng Shi, 2007, 2007 IEEE International Conference on Image Processing.

Face-speech sensor fusion for non-invasive stress detection

Cecilia Ovesdotter Alm, Joe Geigel, Linwei Wang, 2015, AVSP.

Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation

P. K. Gyawali, Linwei Wang, Aakash Saboo, 2021, BMVC.

Differences in brain activations between micro- and macro-expressions based on electroencephalography

Tong Chen, Linwei Wang, Guangyuan Liu, 2022, Frontiers in Neuroscience.

Mapping Ventricular Tachycardia With Electrocardiographic Imaging.

Shijie Zhou, J. Sapp, Linwei Wang, 2020, Circulation. Arrhythmia and electrophysiology.

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators

Rob S. MacLeod, P. K. Gyawali, Linwei Wang, 2022, MICCAI.

Improving Disentangled Representation Learning with the Beta Bernoulli Process

B. Horáček, P. K. Gyawali, J. Sapp, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Progressive Learning and Disentanglement of Hierarchical Representations pdf

Zhiyuan Li, Linwei Wang, Jaideep Vitthal Murkute, 2020, ICLR.

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

Jwala Dhamala, Katherine C. Wu, Natalia A. Trayanova, 2021, Frontiers in Physiology.

Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications

Olaf Dössel, Laura Bear, Dana H. Brooks, 2018, Front. Physiol..

Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium

Linwei Wang, Fei Gao, Jingjia Xu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variation Functional

Linwei Wang, Fei Gao, Jingjia Xu, 2014, IEEE Transactions on Medical Imaging.

A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging

Linwei Wang, Fei Gao, Jingjia Xu, 2013, MICCAI.

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential pdf

Linwei Wang, Sandesh Ghimire, Jwala Dhamala, 2018, MICCAI.

Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models

Linwei Wang, John L Sapp, Jwala Dhamala, 2020, Medical Image Anal..

Simulation of Active Cardiac Electromechanical Dynamics

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2008, MIAR.

Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space

Zhiyuan Li, Linwei Wang, Sandesh Ghimire, 2019, MICCAI.

A meshless framework for bevel-tip flexible needle insertion through soft tissue

Linwei Wang, Jijie Xu, Ken C. L. Wong, 2010, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

Meshfree implementation of individualized active cardiac dynamics

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2010, Comput. Medical Imaging Graph..

Electrocardiographic Simulation on Coupled Meshfree-BEM Platform

Heye Zhang, Pengcheng Shi, Ken C. L. Wong, 2009, FIMH.

Neural State-Space Modeling with Latent Causal-Effect Disentanglement

Linwei Wang, N. Otani, Maryam Toloubidokhti, 2022, MLMI@MICCAI.

Atrial fibrillation classification from a short single lead ECG recording using hierarchical classifier

Linwei Wang, Prashnna K. Gyawali, Erin Coppola, 2017, 2017 Computing in Cardiology (CinC).

Localization of Sparse Transmural Excitation Stimuli from Surface Mapping

Linwei Wang, Fei Gao, Jingjia Xu, 2012, MICCAI.

Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach

Peter Bajorski, Linwei Wang, Milan Horacek, 2016, IEEE Transactions on Medical Imaging.

Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2010, IEEE Transactions on Biomedical Engineering.

Semi-Supervised Learning for Eye Image Segmentation

Jeff B. Pelz, Linwei Wang, Aayush K. Chaudhary, 2021, ETRA Short Papers.

Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data

Xiajun Jiang, John L. Sapp, Linwei Wang, 2021, IEEE Transactions on Biomedical Engineering.

Noninvasive Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia: Association With Magnetic Resonance Scar Imaging

Linwei Wang, Henry Halperin, Omar Gharbia, 2018, 2018 Computing in Cardiology Conference (CinC).

Towards integrated noninvasive personalization of cardiac electromechanics

Huafeng Liu, Pengcheng Shi, Ken C. L. Wong, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Semi-supervised Medical Image Classification with Global Latent Mixing pdf

Sandesh Ghimire, Zhiyuan Li, Linwei Wang, 2020, MICCAI.

Stressed out: what speech tells us about stress

Cecilia Ovesdotter Alm, Joe Geigel, Linwei Wang, 2015, INTERSPEECH.

Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential pdf

Linwei Wang, Sandesh Ghimire, Milan Horacek, 2018, ArXiv.

Noninvasive epicardial and endocardial electrocardiographic imaging of scar-related ventricular tachycardia

Linwei Wang, Sandesh Ghimire, Milan Horacek, 2016, 2016 Computing in Cardiology Conference (CinC).

Lp-Norm Regularization in Volumetric Imaging of Cardiac Current Sources

Linwei Wang, Jingjia Xu, Azar Rahimi, 2013, Comput. Math. Methods Medicine.

Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2011, IEEE Transactions on Biomedical Engineering.

Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation

Linwei Wang, S. Ghimire, Nilesh Kumar, 2023, arXiv.org.

Image-Based Computational Cardiology: From Data to Understanding

Heye Zhang, Vicky Y. Wang, Linwei Wang, 2014, Comput. Math. Methods Medicine.

Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences

Rob S. MacLeod, Jake A. Bergquist, Linwei Wang, 2022, IEEE Transactions on Medical Imaging.

Non-invasive reconstruction of dynamic myocardial transmembrane potential with graph-based total variation constraints

Huafeng Liu, Heye Zhang, Linwei Wang, 2019, Healthcare technology letters.

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction

Linwei Wang, S. Ghimire, Zhiyuan Li, 2020, MICCAI.

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization pdf

Linwei Wang, Sandesh Ghimire, Jwala Dhamala, 2019, MICCAI.

Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error

Linwei Wang, Sandesh Ghimire, John L Sapp, 2019, IEEE Transactions on Medical Imaging.

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences pdf

Linwei Wang, Sandesh Ghimire, Jwala Dhamala, 2019, IPMI.

Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms

Linwei Wang, B Milan Horacek, Prashnna Kumar Gyawali, 2020, IEEE Transactions on Biomedical Engineering.

Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms

Linwei Wang, Mohammed Alawad, Mohammed Alawad, 2019, IEEE Transactions on Medical Imaging.

A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms

Shijie Zhou, Linwei Wang, John L Sapp, 2020, Comput. Biol. Medicine.

Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG-Based Inference

Linwei Wang, Fei Gao, Milan Horacek, 2015, MICCAI.

Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis

Pengcheng Shi, Ken C. L. Wong, Linwei Wang, 2009, FIMH.

A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging

Linwei Wang, Sandesh Ghimire, Milan Horacek, 2017, MICCAI.

Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images

Hervé Delingette, Nicholas Ayache, Pengcheng Shi, 2012, MICCAI.

Volumetric Modeling Electromechanics of the Heart

Huafeng Liu, Pengcheng Shi, Ken C. L. Wong, 2011, STACOM.

Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction

Heye Zhang, Pengcheng Shi, Ken C. L. Wong, 2008, MICCAI.

Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space pdf

Sandesh Ghimire, Prashnna K Gyawali, Linwei Wang, 2020, ArXiv.

Analysis of Discriminator in RKHS Function Space for Kullback-Leibler Divergence Estimation

Linwei Wang, S. Ghimire, P. Gyawali, 2020, 2002.11187.

Vela Pulsar: Single Pulses Analysis with Machine Learning Techniques

C. Lousto, N. Cahill, Linwei Wang, 2021, 2108.13462.

Overcoming barriers to quantification and comparison of electrocardiographic imaging methods: A community-based approach

Dana H. Brooks, Rob S. MacLeod, Linwei Wang, 2017, 2017 Computing in Cardiology (CinC).

Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization pdf

Sandesh Ghimire, Linwei Wang, Prashnna Kumar Gyawali, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation

Mohammed Alawad, Linwei Wang, Mohammed Alawad, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting

Linwei Wang, Zhiyuan Li, R. Missel, 2023, ICLR.

Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Details

Pengcheng Shi, Linwei Wang, Hongda Mao, 2011, STACOM.

Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning

Rob S. MacLeod, Md Shakil Zaman, J. Sapp, 2022, MICCAI.

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model pdf

Linwei Wang, Sandesh Ghimire, Jwala Dhamala, 2018, MICCAI.

Quantifying the uncertainty in model parameters using Gaussian process‐based Markov chain Monte Carlo in cardiac electrophysiology

Linwei Wang, Jwala Dhamala, Katherine C. Wu, 2018, Medical Image Anal..

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

Linwei Wang, Jwala Dhamala, Milan Horacek, 2017, IPMI.

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology

Linwei Wang, John Sapp, Jwala Dhamala, 2017, IEEE Transactions on Medical Imaging.

A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models

D. Brooks, Linwei Wang, Jaume Coll-Font, 2018, 2018 Computing in Cardiology Conference (CinC).

Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling

Linwei Wang, Azar Rahimi, Linwei Wang, 2015, IEEE Transactions on Biomedical Engineering.

Multiple-model Bayesian approach to volumetric imaging of cardiac current sources

Linwei Wang, Jingjia Xu, Azar Rahimi, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging

Linwei Wang, Jingjia Xu, Azar Rahimi, 2014, MICCAI.

The impact of ventricular shape variations on inverse electrocardiography: A feasibility study

Linwei Wang, Azar Rahimi, Linwei Wang, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2009, MICCAI.

Noninvasive volumetric imaging of cardiac electrophysiology

Huafeng Liu, Heye Zhang, Pengcheng Shi, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations

Heye Zhang, Pengcheng Shi, Ken C. L. Wong, 2008, MIAR.

Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space

Linwei Wang, S. Ghimire, P. Gyawali, 2020, ArXiv.

Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia pdf

Linwei Wang, John L. Sapp, B. Milan Horácek, 2018, AAAI Workshops.