Linwei Wang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 101

Top Venues

CoRR

CinC

MICCAI (2)

IEEE Trans. Medical Imaging

Publications

Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. CoRR (2024)
Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. ICLR (2024)
Yumeng Sun, Jinguang Li, Linwei Wang, Junjie Xv, Yu Liu
Deep Learning-based drone acoustic event detection system for microphone arrays. Multim. Tools Appl. 83 (16) (2024)
Feng Wang, Rui Song, Hu Yu, Ao Zhang, Linwei Wang, Xia Chen
Thermal parameter inversion of low-heat cement concrete for Baihetan arch dam. Eng. Appl. Artif. Intell. 131 (2024)
Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang
Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. IEEE Trans. Medical Imaging 43 (8) (2024)
Jinguang Li, Yu Liu, Shuai Wang, Linwei Wang, Yumeng Sun, Xin Li
Visual perception system design for rock breaking robot based on multi-sensor fusion. Multim. Tools Appl. 83 (8) (2024)
Rong Zhou, Linwei Wang, Jianhang Yang, Zhen Li, Xiaoteng Zhao, Shubin Liu
A 8.1-nW, 4.22-kHz, -40-85 °C relaxation oscillator with subthreshold leakage current compensation and forward body bias buffer for low power IoT applications. Microelectron. J. 144 (2024)
Rong Zhou, Jianhang Yang, Linwei Wang, Xiaoteng Zhao, Shubin Liu, Depeng Sun
A wideband low power RF Receiver Front-End for Internet-of-Things applications. Microelectron. J. 144 (2024)
Jinguang Li, Yu Liu, Linwei Wang, Yumeng Sun
A vision-based end pose estimation method for excavator manipulator. Multim. Tools Appl. 83 (26) (2024)
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR (2024)
Pradeep Bajracharya, Javier Quetzalcóatl Toledo-Marín, Geoffrey C. Fox, Shantenu Jha, Linwei Wang
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations. CoRR (2024)
Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework. CoRR (2024)
Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang
LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. CoRR (2024)
Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR (2023)
Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CoRR (2023)
Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang
A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. MICCAI (7) (2023)
Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor
A 3D Camera-Based Approach to High-Density ECG Imaging. CinC (2023)
Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin Hartzel, Jeffery Ruhl, Brandon K. Fornwalt, Linwei Wang
A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction. CinC (2023)
Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. ICLR (2023)
Bipin Lekhak, Ryan Missel, Dillon Dzikowicz, Solomiya Rachynska, Wojciech Zareba, Linwei Wang
Novel In-Home Cardiac Monitoring for Heart Failure Patients. CinC (2023)
Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CLIP/FAIMI/EPIMI@MICCAI (2023)
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR (2023)
Maryam Toloubidokhti, Omar A. Gharbia, Natalia A. Trayanova, John L. Sapp, Linwei Wang
Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit. CinC (2023)
Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. IEEE Trans. Medical Imaging 42 (2) (2023)
Feng Chen, Xuqing Zhang, Longyu Wang, Bing Du, Songya Dang, Linwei Wang
Systematic Evaluation of Multi-Resolution ICESat-2 Canopy Height Data: A Case Study of the Taranaki Region. Remote. Sens. 15 (24) (2023)
Pradeep Bajracharya, Anton J. Prassl, Karli Gillette, Gernot Plank, Linwei Wang
Parameter Estimation for Personalized Cardiac Models via Active Learning. CinC (2023)
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) (2023)
Linwei Wang, Bo Li, Changjun Yu, Aijun Liu, Xiaowei Ji
PARAFAC-Direct: A Joint Parameters Estimation Method for Slow-Time MIMO. IEEE Signal Process. Lett. 29 (2022)
Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. MICCAI (8) (2022)
Xiaowei Ji, Jiaming Li, Qiang Yang, Linwei Wang, Ying Suo, Xiaochuan Wu
Deep Learning Aided Time-Frequency Analysis Filter Framework for Suppressing Ionosphere Clutter. Remote. Sens. 14 (14) (2022)
Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI (2022)
Xiaowei Ji, Qiang Yang, Linwei Wang
A Self-Regulating Multi-Clutter Suppression Framework for Small Aperture HFSWR Systems. Remote. Sens. 14 (8) (2022)
Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning. CoRR (2022)
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) (2022)
Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR (2022)
Xiajun Jiang, Jess Tate, Jake Bergquist, Akil Narayan, Rob S. MacLeod, Linwei Wang
Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. CinC (2022)
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR (2022)
Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
Semi-Supervised Learning for Eye Image Segmentation. CoRR (2021)
Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake A. Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, Linwei Wang
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH (2021)
Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. MICCAI (6) (2021)
Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang
Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. BMVC (2021)
Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
Semi-Supervised Learning for Eye Image Segmentation. ETRA Short Papers (2021)
Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning. CoRR (2021)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. CoRR (2020)
Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR (2020)
Jwala Dhamala, Pradeep Bajracharya, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models. Medical Image Anal. 62 (2020)
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang
Progressive Learning and Disentanglement of Hierarchical Representations. ICLR (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. ICDM (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
Semi-supervised Medical Image Classification with Global Latent Mixing. MICCAI (1) (2020)
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang
Progressive Learning and Disentanglement of Hierarchical Representations. CoRR (2020)
Prashnna Kumar Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Biomed. Eng. 67 (5) (2020)
Jwala Dhamala, John L. Sapp, B. Milan Horácek, Linwei Wang
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. CoRR (2020)
Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR (2020)
Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. CoRR (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
Semi-supervised Medical Image Classification with Global Latent Mixing. CoRR (2020)
Ryan Missel, Prashnna K. Gyawali, Jaideep Vitthal Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, John L. Sapp, Linwei Wang
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput. Biol. Medicine 126 (2020)
Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error. IEEE Trans. Medical Imaging 38 (11) (2019)
Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR (2019)
Lin Fang, Jingjia Xu, Hongjie Hu, Yunmei Chen, Pengcheng Shi, Linwei Wang, Huafeng Liu
Noninvasive Imaging of Epicardial and Endocardial Potentials With Low Rank and Sparsity Constraints. IEEE Trans. Biomed. Eng. 66 (9) (2019)
Mohammed Alawad, Linwei Wang
Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Medical Imaging 38 (5) (2019)
Prashnna Kumar Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Improving Disentangled Representation Learning with the Beta Bernoulli Process. CoRR (2019)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. CoRR (2019)
Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. MICCAI (6) (2019)
Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. CoRR (2019)
Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. CoRR (2019)
Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. IPMI (2019)
Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, B. Milan Horácek, Linwei Wang
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. CoRR (2019)
Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Improving Disentangled Representation Learning with the Beta Bernoulli Process. ICDM (2019)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. MICCAI (2) (2019)
Linwei Wang, Changjun Yu, Yi Huang
The Effect of Ground Screen System on High-Frequency Surface Wave Radar Antenna Directivity. CSPS (2) (2018)
Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshops (2018)
Sandesh Ghimire, Linwei Wang
Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential. CinC (2018)
Rebecca Medina, Daniel Carpenter, Joe Geigel, Reynold Bailey, Linwei Wang, Cecilia Ovesdotter Alm
Sensing Behaviors of Students in Online vs. Face-to-Face Lecturing Contexts. PerCom Workshops (2018)
Omar Gharbia, Susumu Tao, Albert C. Lardo, Henry R. Halperin, Linwei Wang
Noninvasive Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia: Association With Magnetic Resonance Scar Imaging. CinC (2018)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. MICCAI (2) (2018)
Mohammed Alawad, Linwei Wang
Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation. ISBI (2018)
Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology. Medical Image Anal. 48 (2018)
Linwei Wang, Changjun Yu, Haorong Wang
Seawater Antenna for High-Frequency Surface Wave Radar. CSPS (3) (2018)
Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia. CoRR (2018)
Sandesh Ghimire, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential. CoRR (2018)
Jaume Coll-Font, Linwei Wang, Dana H. Brooks
A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models. CinC (2018)
Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. CoRR (2018)
Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. MICCAI (2) (2018)
Mingfeng Wang, Aijun Liu, Linwei Wang, Changjun Yu
Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum. MLICOM (2) (2017)
Sandesh Ghimire, Linwei Wang
L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal. CinC (2017)
Omar Gharbia, Susumu Tao, Albert C. Lardo, Henry R. Halperin, Linwei Wang
Electrical and Anatomical Imaging of Arrhythmogenic Substrates for Scar-related Ventricular Tachycardia. CinC (2017)
Jwala Dhamala, Jaume Coll-Font, Jess D. Tate, María de la Salud Guillem Sánchez, Dana H. Brooks, Linwei Wang, Rob S. MacLeod, Sandesh Ghimire
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC (2017)
Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. MICCAI (2) (2017)
Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI (2017)
Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. IPMI (2017)
Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology. IEEE Trans. Medical Imaging 36 (9) (2017)
Xuguang Yang, Changjun Yu, Aijun Liu, Linwei Wang
Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar. MLICOM (2) (2017)
Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC (2017)
Ashley A. Edwards, Anthony Massicci, Srinivas Sridharan, Joe Geigel, Linwei Wang, Reynold J. Bailey, Cecilia Ovesdotter Alm
Sensor-based Methodological Observations for Studying Online Learning. SmartLearn@IUI (2017)
Erin Coppola, Prashnna K. Gyawali, Nihar Vanjara, Daniel Giaime, Linwei Wang
Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier. CinC (2017)
Linwei Wang, Omar Gharbia, Sandesh Ghimire, Milan Horacek, John L. Sapp
Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia. CinC (2016)
Azar Rahimi, John L. Sapp, Jingjia Xu, Peter Bajorski, Milan Horacek, Linwei Wang
Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach. IEEE Trans. Medical Imaging 35 (1) (2016)
Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. MICCAI (3) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Linwei Wang