Publications

Publication Culture in Computer Science

Peer-Reviewed Journal Articles

  • C. Meisenzahl, K Gillette, A. J. Prassl, G. Plank, J. L. Sapp, and L. Wang. “BOATMAP: Bayesian Optimization Active Targeting for Monomorphic Arrhythmia Pace-Mapping.” Computers in Biology and Medicine 182 (November):109201, 2024 (url).
  • Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J Prassl, Gernot Plan, Milan Horack, John L Sapp, and Linwei Wang. Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. IEEE Transaction on Medical Imaging, 2024 Mar 13:PP. doi: 10.1109/TMI.2024.3377094. Online ahead of print.
  • Ezequiel Zubieta, Ryan Missel, Valentina Sosa Fiscella, Carlos O. Lousto, Santiago del Palacio, Federico G. López Armengol, Federico Garcia, Jorge A Combi, Linwei Wang, Luciano Combi, Guillermo Gancio, Carolina Negrelli and Eduardo M. Gutierrez, First results of the glitching pulsars monitoring program at the Argentine Institute of Radioastronomy, Monthly Notices of the Royal Astronomical Society, 2023;, stad723.
  • Xiajun Jiang, Maryam Toloubidokhti, Jake Berquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, and Linwei Wang, Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences, IEEE Transactions on Medical Imaging, in press, 2022.
  • Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horacek, John L. Sapp and Linwei Wang, Learning to Disentangle Inter-subject Anatomical Variations in Electrocardiographic Data, IEEE Transactions on Biomedical Engineering, 69(2):860-870, 2022
  • Carlos O. Lousto, Ryan Missel, Harshkumar Prajapati, Valentina Sosa Fiscella, Federico G. López Armengol, Prashnna Kumar Gyawali, Linwei Wang, Nathan D. Cahill, Luciano Combi, Santiago del Palacio, Jorge A. Combi, Guillermo Gancio, Federico García, Eduardo M. Gutiérrez and Fernando Hauscarriaga, Vela pulsar: single pulses analysis with machine learning techniques, Monthly Notices of the Royal Astronomical Society, 509, 5790-5808, 2022.
  • Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya, John L Sapp, B Milan Horácek, Katherine C Wu, Natalia A Trayanova, and Linwei Wang, Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning, Frontiers in Physiology, 2021.
  • Ryan Missel, Prashnna K Gyawali, Jaideep V Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, John L Sapp, and Linwei Wang, A Hybrid Machine Learning Approach to Localizing the Origin of Ventricular Tachycardia Using 12-Lead Electrocardiograms, Computers in Biology and Medicine, 126:104013, 2020 (pdf)
  • John L Sapp, Shijie Zhou, and Linwei Wang, Mapping Ventricular Tachycardia With Electrocardiographic Imaging, Circulation: Arrhythmia and Electrophysiology, 2020,13:e008255, accepted (Editorial)
  • S. A. Niederer, Y. Aboelkassem, C. D. Cantwell, C. Corrado, S. Coveney, E. M. Cherry, T. Delhaas, F. H. Fenton, A. V. Panfilov, P. Pathmanathan, G. Plank, M. Riabiz, C. Roney, R. W. dos Santos, and L. Wang, Creation and Application of Virtual Patient Cohorts of Heart Models, Philosophical Transactions A, The Royal Society Publishing, 2020, accepted.
  • Jwala Dhamala, Pradeep Baracharya, Hermenegild J. Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, and Linwei Wang, Embedding High-dimensional Bayesian Optimization via Generative Modeling: Parameter Personalization of Cardiac Electrophysiological Models, Medical Image Analysis, Elsevier, accepted, 2020
  • Prashnna Kumar Gyawali, B. Milan Horacek, John L Sapp, and Linwei Wang, Sequential Facetorized Autoencoder for Localizing the Origin of Ventricular Activation from 12-Lead Electrograms, IEEE Transactions on Biomedical Engineering, accepted, 2019(url). 
  • Sandesh Ghimire, Milan Horack, John L Sapp, and Linwei Wang, Noninvasive Reconstruction of Transmural Transmembrane Potential with Simultaneous Estimation of Prior Model Error, IEEE Transactions on Medical Imaging, accepted, 2019(url).
  • Mohammed Alawad and Linwei Wang, Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation from 12-lead Electrocardiograms, IEEE Transactions on Medical Imaging, 38(5): 1172-1184, 2019 [ePub ahead of print]
  • Jwala Dhamala, Hermenegild J. Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, and Linwei Wang, Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo in Cardiac Electrophysiology, Medical Image Analysis, Elsevier, 48:43-57, 2018 (pdf)
  • Linwei Wang, Omar A. Gharbia, B. Milan Horacek, Saman Nazarian, and John L. Sapp, Noninvasive Epicardial and Endocardial Electrocardiographic Imaging for Scar-related Ventricular Tachycardia, EP Europace, 20(FI2):f263-f272, 2018 (url, pdf), 2018.
  • Jwala Dhamala, Hermenegild J. Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, and Linwei Wang, Spatially-Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology, IEEE Transactions on Medical Imaging, 36(9):1966-1978,2017 (url).
  • Linwei Wang, Omar A. Gharbia, B. Milan Horacek, and John L. Sapp, Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-related Ventricular Tachycardia, Journal of Electrocardiology, 49(6):887-893, 2016 (url)
  • Azar Rahimi, John Sapp, Jingjia Xu, Peter Bajorski, Milan Horacek, and Linwei Wang, Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach, IEEE Transactions on Medical Imaging, 35(1): 229-243, 2016 (url).
  • B. Milan Horacek, Linwei Wang, Fady Dawoud, Jingjia Xu, and John L. Sapp, Noninvasive Electrocardiographic Imaging of Chronic Myocardial Infarct Scar, Journal of Electrocardiology, 48(6): 952:958, 2015 (url)
  • Kedar Aras, Wilson Good, Jess Tate, Brett Burton, Dana Brooks, Jaume Coll-Font, Olaf Doessel, Walther Schulze, Danila Potyagaylo, Linwei Wang, Peter van Dam, and Rob MacLeod, Experimental Data and Geometric Analysis Repository -- Edgar, Journal of Electrocardiology, 48(6):975-981, 2015 (url)
  • Azar Rahimi,  and Linwei Wang, Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling, IEEE Transactions on Biomedical Engineering, 62(6):1563-1575, 2015 (url)
  • Jingjia Xu, Azar Rahimi, Fei Gao, and Linwei Wang, Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variational Functional, IEEE Transactions on Medical Imaging, 33(9): 1860-1874, 2014 (pdf).
  • Azar Rahimi, Jingjia Xu, and Linwei Wang, Lp-Norm Regularization in Volumetric Imaging of Cardiac Current Sources, Computational and Mathematical Methods in Medicine, Hindawi, vol 2013, article ID 276478, 10 pages, 2013 (url)
  • Linwei Wang, Fady Dawoud, Sai-Kit Yeung, Pengcheng Shi, Ken C.L. Wong, Huafeng Liu, and Albert C. Lardo, Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts, IEEE Transactions on Medical Imaging, vol 32, no 4, pp 731-747, 2013 (pdf)
  • Linwei Wang, Computational Reduction for Noninvasive Transmural Electrophysiological Imaging, Computers in Biology and Medicine, Elsevier, vol 43, pp 184-199, 2013 (pdf)
  • *Oscar Camara, *Maxime Sermesant, *Pablo Lamata, *Linwei Wang, Mihaela Pop, Jatin Relan, Mathieu De Craene, Herve. Delingette, Huafeng Liu, Steven Niederer, Ali Pashaei, Gernot Plank, Daniel Romero, Rafael Sebastián, Ken C.L. Wong, Heye Zhang, Nicholas Ayache, Alejandro Frangji, Pengcheng Shi, Nic Smith, and Graham Wright: Inter-Model Consistency and Complementarity: Learning from ex-vivo Imaging and Electrophysiological Data towards an Integrated Understanding of Cardiac Physiology. Progress in Biophysics and Molecular Biology, Elsevier, vol 107, pp 122-133, 2011. (*Equal contribution from the first four authors). (pdf)
  • Linwei Wang, Ken C.L. Wong, Heye Zhang, Huafeng Liu, and Pengcheng Shi: Noninvasive Computational Imaging of Cardiac Electrophysiology for 3D Infarct Quantification, IEEE Transactions on Biomedical Engineering, vol 58, no 4, pp 1033-1043, 2011 (pdf).
  • Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi:  Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery. IEEE Transactions on Medical Imaging, vol 30, no 4: pp 990-1000, 2011 (pdf)
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, and Pengcheng Shi: Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials, IEEE Transactions on Biomedical Engineering, vol 57, no 2, pp 296-315, 2010 (Cover page). (pdf).
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi: Meshfree Implementation of Individualized Active Cardiac Dynamics, Computerized Medical Imaging and Graphics, Elsevier, vol 34, no 1, pp 91-103, 2010 (url).
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, and Pengcheng Shi: Electrocardiographic Simulation on Personalized Heart-Torso Structures Using Coupled Meshfree-BEM Platform, International Journal of Functional Informatics and Personalized Medicine, Inderscience, vol 2, No 2, Pp 175-200, 2009 (pdf)
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi: Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery, Journal of Signal Processing Systems, Springer, vol 55, pages 281-296, 2009 (url)

Peer-Reviewed Conference Papers

  • Y. Ye, M. Toloubidokhti, S. Vadhavkar, X. Jiang, H. Liu, and L. Wang. On the Identifiability of Hybrid Physics-Neural Models: Meta-Learning as a Solution. Neural Information Processing Systems (NeurIPS), 2024
  • D. Wang, S. Azadvar, J. S. Heiselman, X. Jiang, M. Miga, and L. Wang, LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, LNCS 15006: 359-368, 2024.
  • Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha and Linwei Wang. DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics Informed Neural Networks. International Conference on Learning Representations (ICLR), 2024
  • Yubo Ye, Huffing Liu, Xiajun Jiang, Maryam Toloubidokhti and Linwei Wang. A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
  • Nilesh Kumar, Prashnna K Gyawali, Sandesh Ghimire and Linwei Wang. Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
  • *Xiajun Jiang, *Ryan Missel, Zhiyuan Li and Linwei Wang. Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. International Conference on Learning Representations (ICLR), 2023 (spotlight, top 25%)
  • Zhiyaun Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar and Linwei Wang. Continual Unsupervised Disentangling of Self-Organizing Representations. International Conference on Learning Representations (ICLR), 2023 (spotlight, top 25%)
  • Xiajun Jiang, Zhiyaun Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, and Linwei Wang. Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
  • *Maryam Toloubidokhi, *Nilesh Kumar, Zhiyaun Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod and Linwei Wang. Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 (*equal contribution)
  • *Maryam Toloubidokhi, *Ryan Missell, Xiajun Jiang, Niels Otani and Linwei Wang. Neural State-Space Modeling with Latent Causal-Effect Disentanglement. Machine Learning in Medical Imaging (MIML) Workshop in Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 (*equal contribution)
  • Aakash Saboo, Prashnna K Gyawali, Ankit Shukla, Neeraj Jain, Manoj Sharma, and Linwei Wang. Latent-optimization Based Disease-Aware Image Editing for Medical Image Augmentation. British Machine Vision Conference (BMVC), 2021.
  • *Xiajun Jiang, *Ryan Missel, Maryam Toloubidokhi, Zhiyuan Li, Omar Gharbia, John L. Sapp, and Linwei Wang. Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021, accepted. (* equal contribution)
  • Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang, Jaume Coll-Font, Jake Bergquist, Brian Zenger, Wilson W. Good, Dana H. Brooks, Rob S. MacLeod, and Linwei Wang. Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. Functional Imaging and Modeling of the Heart (FIMH), accepted, 2021
  • Prashnna Gyawali, Sandesh Ghimire, and Linwei Wang. Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. International Conference on Data Mining (ICDM), 2020, accepted (19.7% acceptance rate)
  • Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna K. Gyawali, and Linwei Wang. Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020, accepted.
  • Prashnna Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, and Linwei Wang. Semi-Supervised Medical Imaging Classification with Global Latent Mixing. Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020, accepted.
  • Zhiyuan Li, Jaideep V Murkute, Prashnna K Gyawali, and Linwei Wang. Progressive Learning and Disentanglement of Hierarchical Representations. International Conference on Learning Representations, 2020 (oral spotlight, 6% selection rate)
  • Prashnna K Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, John Sapp, and Linwei Wang. Improving Disentangled Representation Learning with the Beta Bernoulli Process. International Conference on Data Mining (ICDM), Beijing, China, 2019, accepted (18.5% acceptance rate) (url)
  • *Prashnna K Gyawali, *Zhiyuan Li, Sandesh Ghimire, and Linwei Wang. Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019, accepted (*equal contribution, 31% acceptance rate) (url)
  • Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horacek, and Linwei Wang. Bayesian Optimizatin on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019, accepted (early acceptance, 15% selection rate)  (url)
  • Sandesh Ghimire, Jwala Dhamala, Prashnna Gyawali, John L. Sapp, B. Milan Horacek, and Linwei Wang. Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. Information Processing in Medical Imaging (IPMI), Hong Kong, 2019, accepted (oral presentation) (url)
  • Sandesh Ghimire, Jwala Dhamala, Prashnna Gyawali, John L. Sapp, B. Milan Horacek, and Linwei Wang. Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Granada, Spain, September, 2018, Lecture Notes in Computer Science, Springer, 508-516, 2018 (url).
  • Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horacek, and Linwei Wang. High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Granada, Spain, September, 2018, Lecture Notes in Computer Science, Springer, 499-507, 2018 (nomination for Young Scientist Award, selection rate 1%) (url).
  • Mohammed Alawad and Linwei Wang. Leveraging Simulation Data for Learning a Patient-specific Model to Localize the Origin of Ventricular Activation. International Symposium on Biomedical Imaging (ISBI), Washington DC, US, 1318-1322, 2018 (url).
  • Prashnna Gyawali, Milan Horacek, John Sapp, and Linwei Wang. Learning Disentangled Representation from 12-lead Electrocardiograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshop on Health Intelligence, New Orleans, LA, 443-450, 2018(url).
  • Rebecca Medina, Daniel Carpenter, Joe Geigel, Reynold Bailey, Linwei Wang, and Cecilia Ovesdotter Alm. Sensing Behaviors of Students in Online vs. Face-to-face Lecturing Contexts. IEEE Pervasive Computing Workshop, 77-82, 2018 (url)
  • Jaume Coll-Font, Linwei Wang, and Dana Brooks. A Common-ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models. Computing in Cardiology, Maastricht, the Netherlands, September, 2018, in press (url)
  • Omar A. Gharbia, Susumu Tao, Albert C. Lardo, Henry Halperin, and Linwei Wang. Noninvasive Electrocardiographic Imaging of Scar-related Ventricular Tachycardia: Association with Magnetic Resonance Imaging. Computing in Cardiology, Maastricht, the Netherlands, September, 2018, in press (url)
  • Sandesh Ghimire and Linwei Wang. Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential. Computing in Cardiology, Maastricht, the Netherlands, September, 2018, in press.
  • Sandesh Ghimire, John L. Sapp, B. Milan Horacek, and Linwei Wang. A Variational Approach to Sparse Error Estimation in Cardiac Electrophysiological Imaging. In M. Descoteaux, L. Maier-Hein, A. Franz, P. Jannin, D. L. Collins, and S. Duchesne (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec City, Canada, September, 2017, Lecture Notes in Computer Science, Springer, 10434: 745-753, 2017 (url).
  • Jwala Dhamala, John L. Sapp, B. Milan Horacek, and Linwei Wang. Quantifying the Uncertainty in Model Parameters using Gaussian Process based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. In M. Niethammer, M. Styner, S. Aylward, H. Zhu, I. Oguz, P-T Yap, and D Shen (Eds), Information Processing in Medical Imaging (IPMI), Boone, North Carolina, 2017, Lecture Notes in Computer Science, Springer, 10265: 223-235, 2017 (url).
  • Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horacek, John L. Sapp, and Linwei Wang. Disentangling Inter-subject Variations: Automatic Localization of Ventricular Tachycardia Origin from 12-lead Electrocardiograms. International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, 2017, DOI: 10.1109/ISBI.2017.7950596 (url)
  • Prashnna Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horacek, John L Sapp, and Linwei Wang. Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-lead Electrocardiogram. Computing in Cardiology, Rennes, France, 2017, DOI:10.22489/CinC.2017.041-280 (Semi-finalist for the Rosanna Degani Young Investigator Award) (url)
  • Sandesh Ghimire and Linwei Wang. L0 Norm Based Sparse Regularization for Noninvasive Infarct Detection Using ECG Signal. Computing in Cardiology, Rennes, France, 2017, DOI:10.22489/CinC.2017.057-305 (url)
  • Omar Gharbia, Susumu Tao, Albert C. Lardo, Henry Halperin, and Linwei Wang. Electrical and Anatomical Imaging of Arrhythmogenic Substrates for Scar-related Ventricular Tachycardia. Computing in Cardiology, Rennes, France, 2017, DOI:10.22489/CinC.2017.042-345 (url)
  • Sandesh Ghimire, Jwala Dhamala, Jaume Coll-Font, Jess Tate, Maria de la Salud Guillem Sanchez, Dana Brooks, Rob MacLeod, and Linwei Wang. Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach, Computing in Cardiology, Rennes, France, 2017, DOI:10.22489/CinC.2017.370-289 (url)
  • Erin Coppola, Daniel Giaime, Prashnna Gyawali, Nihar Vanjara, and Linwei Wang, Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier. Computing in Cardiology, Rennes, France, 2017, DOI:10.22489/CinC.2017.354-425 (url)
  • Ashley A. Edwards, Anthony Massici, Srinivas Sridharan, Joe Geigel, Linwei Wang, Reynold Bailey, Cecilia Ovesdotter Alm, Sensor-based Methodological Observations for Studying Online Learning. ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning (SmartLearn), Limassol, Cyprus, pp 25-30, 2017 (url)
  • Jwala Dhamala, John L. Sapp, B. Milan Horacek, and Linwei Wang. Spatially-Adaptive Multi-Scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. In S. Ourseline., L. Joskowicz, M. Sabuncu, G. Unal and W. Wells (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Athens, Greece, October 2016, Lecture Notes in Computer Science, Springer, 9902:282-290, 2016 (url)
  • Linwei Wang, Omar A. Gharbia, B. Milan Horacek, and John L. Sapp. Noninvasive Electrocardiographic Imaging of Scar-related Ventricular Tachycardia. Computing in Cardiology, Vancouver, Canada, 2016, DOC: 10.23919/CINC.2016.7868743 (url).
  • Will Paul, Cecilia Ovesdotter Alm, Reynold Bailey, Joe Geigel, and Linwei Wang. Stressed Out: What Speech Tells Us About Stress. Interspeech, Dresden, Germany, September 2015, (url).
  • Vasudev Bethamcherla, Will Paul, Cecilia Ovesdotter Alm, Reynold Bailey, Joe Geigel, and Linwei Wang. Face-Speech Sensor Fusion for Nonintrusive Stress Detection. Facial Analysis, Animation, and Auditory-Visual Speech Processing, Vienna, Austria, September, 2015.
  • Jingjia Xu, John L. Sapp, Azar Rahimi, Fei Gao, Milan Horacek, and Linwei Wang. Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG-Based Inference. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Munich, Germany, October 2015, Lecture Notes in Computer Science, Springer, 9350:519-527, 2015.
  • Jaume Coll-Font, Brittany Purcell, Jingjia Xu, Petr Stovicek, Dana H. Brooks, and Linwei Wang. Evaluation of 2-Norm versus Sparsity Regularization in Spline-Based Joint Reconstruction of Epicardial and Endocardial Potentials from Body-Surface Measurements. Computing in Cardiology (CinC), Nice, France, September 2015, 42:957-960 (url).
  • Azar Rahimi, Jingjia Xu, and Linwei Wang. Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Horneger, and Robert Howe (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Boston, USA, September 2014, Lecture Notes in Computer Science, Springer, 8674:538-545, 2014 (url)
  • Jingjia Xu, Azar Rahimi, Fei Gao, and Linwei Wang. Variational Bayesian Electrophysiological Imaging of Myocardial Infarction. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Horneger, and Robert Howe (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Boston, USA, September 2014, Lecture Notes in Computer Science, Springer, 8674:529-537, 2014 (url)
  • Jingjia Xu, Azar Rahimi, Fei Gao, and Linwei Wang. Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Application on Reconstruction of 3D Ischemic Myocardium. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, USA, June 2014, pp 3043-3050 (acceptance rate 29.8%, url).
  • Azar Rahimi, Jingjia Xu, and Linwei Wang, Multiple-Model Bayesian Approach to Volumetric Imaging of Cardiac Current Sources. IEEE International Conference on Image Processing (ICIP), Paris, France, October  2014, pp 3522-3526 (url).
  • Azar Rahimi, Jingjia Xu, and Linwei Wang. Electrophysiologic Imaging of Volumetric Infarct Border Using a Spatiotemporal Lp-Norm Constraint. IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, May 2014, pp 612-615 (best paper travel award).
  • Hongda Mao, Megan Gribble, Arkady Pertsov, Linwei Wang. and Pengcheng Shi. Understanding Embroyonic Heart Morphogenesis Through Automatic Segmentation and Confocal Imaging with Optimal Clearing. IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, May 2014, pp 1303-1306 (url)
  • Jingjia Xu, Azar Rahimi, Fei Gao, and Linwei Wang. A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Nagoya, Japan, September 2013, Lecture Notes in Computer Science, Springer, vol 8149, pp 501-508, 2013 (acceptance rate 32.8%, url)
  • Azar Rahimi and Linwei Wang. The Impact of Ventricular Shape Variations on Inverse Electrocardiography: A Feasibility Study. IEEE International Symposium on Biomedical Imaging (ISBI), pp 564-567, 2013 (podium presentation, acceptant rate 18%) (url)
  • Azar Rahimi, Jingjia Xu, John R Fitz-Clarke, and Linwei Wang. Volumetric Imaging of Cardiac Current Source using Lp-Norm Regularization. Computing in Cardiology (CinC), pp 715-718, 2013 (url)
  • Jingjia Xu, Azar Rahimi, and Linwei Wang. Localization of Transmural Sparse Excitation Stimuli from Surface Mapping. In Nicholas Ayache, Herve Delingette, Polina Golland, and Kensaku Mori (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Nice, France, September 2012, Lecture Notes in Computer Science, Springer, vol 7510, pp 675-682, 2012 (accpetance rate 32%, url).
  • Ken C.L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Herve Delingette, Nicholas Ayache, Pengcheng Shi. Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. In Nicholas Ayache, Herve Delingette, Polina Golland, and Kensaku Mori (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Nice, France, September 2012, Lecture Notes in Computer Science, Springer, vol 7510, pp 617-624, 2012 (acceptance rate 32% , url).
  • Hongda Mao, Linwei Wang, Ken C.L Wong, Huafeng Liu and Pengcheng Shi. Towards Integrated Noninvasive Personalization of Cardiac Electromechanics. IEEE International Symposium on Biomedical Imaging (ISBI), pp 1430-1433, 2012 (acceptance rate 35%) (url)
  • Azar Rahimi, Jingjia Xu and Linwei Wang. Impact of Local Variations in Ventricular Anatomical Models on Transmural Electrophysiological Imaging. Computing in Cardiology (CinC), 2012, Pp 957-960.
  • Martin Corraine, Sonia Lopez, and Linwei Wang. GPU Accelerations of Transmural Electrophysiological Imaging. Computing in Cardiology (CinC), 2012, Pp 849-952 (url)
  • Linwei Wang and Fady Dawoud. Transmural Imaging of Ventricular Action Potentials and Post-Infarct Substrates in Porcine Hearts. Computing in Cardiology (CinC), 2012, Pp 749-752 (url).
  • Linwei Wang, Fady Dawoud, Ken C.L. Wong, Heye Zhang, Huafeng Liu, Albert C. Lardo, and Pengcheng Shi. Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction, MICCAI Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modeling Challenges (MICCAI-STACOM), Toronto, Canada, September, Lecture Notes in Computer Science, 2012, vol 7085, Pp 23-32 (best paper award) (url).
  • Azar Rahimi, Hongda Mao, Pengcheng Shi, and Linwei Wang. Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Detail. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart (MICCAI-STACOM), Toronto, Canada, September, Lecture Notes in Computer Science, 2012, vol 7085, Pp 188-197 (url). 
  • Hongda Mao, Linwei Wang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. Volumetric Modeling Electromechanics of the Heart. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart (MICCAI-STACOM), Toronto, Canada, September, Lecture Notes in Computer Science, 2012, Pp 224-233 (url).
  • Ken C.L. Wong, Linwei Wang, Huafeng Liu, and Pengcheng Shi. A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints. In Gabor Fichtinger, Anne Martel, and Terry Peters (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Toronto, Canada, September 2011, Lecture Notes in Computer Science, Springer,vol 6891, 420-427, 2011 (acceptance rate 30% url).
  • Linwei Wang, Fady Dawoud, Ken C.L. Wong, Heye Zhang, Huafeng Liu, John Sapp, Milan Horacek, and Pengcheng Shi. Mapping the Transmural Scar and Activation for Patients with Ventricular Arrhythmia. Computing in Cardiology (CinC), Hangzhou, China, September, 2011, 849-852 (url).
  • Hongda Mao, Linwei Wang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. A Coupled Heart-Torso Framework for Cardiac Electrocardiographic Simulation. Computing in Cardiology (CinC), Hangzhou, China, September, 2011, 225-228 (url).
  • Mohamed Elshrif, Linwei Wang, and Pengcheng Shi. Dynamic Classification of Cellular Transmural Transmembrane Potential (TMP) Activity of the Heart. Functional Imaging and Modeling of the Heart (FIMH),  New York City, NY, USA, May, 2011, 36-46 (url).
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, and Pengcheng Shi. Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery. In Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, and Max A. Viergever (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, China, October 2010, Lecture Notes in Computer Science, Springer, vol 6361, pp 159-166, 2010 (32% acceptance rate, url).
  • Linwei Wang, Ken C.L. Wong, Heye Zhang, Huafeng Liu, and Pengcheng Shi. How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Custmoziation. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart (MICCAI-STACOM), Beijing, China, September, 2010, 232-241 (url).
  • Linwei Wang, Ken C.L. Wong, Heye Zhang,  Huafeng Liu, and Pengcheng Shi. A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data. MICCAI Workshop on Statistical Atlases and Computational Models of the Heart (MICCAI-STACOM), Beijing, China, September, 2010, 261-269 (oral presentation) (url).
  • Jijie Xu, Linwei Wang, Ken C.L. Wong, and Pengcheng Shi. A Meshless Framework for Bevel-Tip Flexible Needle Insertion Through Soft Tissue. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (IEEE BioRob),  Tokyo, Japan, September, 2010, 753-758 (url).
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, and Pengcheng Shi. Computational Complexity Reduction Via Model Superposition: Application to Biomechanics-Based Nonlinear Cardiac Deformation Recovery. IEEE International Conference on Image Processing (ICIP), Hong Kong, China, September, 2010, Pp 4417-4420 (url).
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction. In Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, and Chris Taylor (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), London, UK, September 2009, Lecture Notes in Computer Science, Springer, vol 5762, pp 732-740, 2009 (acceptance rate 32%, url)
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. Noninvasive Volumetric Imaging of Cardiac Electrophysiology. IEEE Conference on Computer Vision and Pattern Recognition, pp 2176-2183, 2009 (acceptance rate 26%, url).
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, and Pengcheng Shi. Nonlinear Cardiac Deformation Recovery from Medical Images. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November, 2009, Pp 2513-2516 (url).
  • Linwei Wang, Ken C.L. Wong, Heye Zhang, and Pengcheng Shi. Electrocardiographic Simulation on Coupled Meshfree-BEM Platform. Functional Imaging and Modeling of the Heart (FIMH), Nice, France, June, 2009, Pp 162-171 (url).
  • Ken C.L. Wong, Linwei Wang, and Pengcheng Shi. Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis. Functional Imaging and Modeling of the Heart (FIMH), Nice, France, June, 2009, Pp 229-238 (url).
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, and Pengcheng Shi. A Reduced-Rank Square Root Filtering Framework for Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, China, April, 2009, Pp 533-536 (url).
  • Linwei Wang, Ken C.L. Wong, Heye Zhang, and Pengcheng Shi. Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction. In Dimitris Metaxas, Leon Axel, Gabor Fichtinger, and Gabor Szekely (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), New York City, US, September 2008,  Lecture Notes in Computer Science, Springer, vol 5241, pp 1042-1050, 2008 (acceptance rate 36%, url).
  • Linwei Wang, Ken C.L. Wong, and Pengcheng Shi. Dynamic Structural-Image-Guided Noninvasive 3D Cardiac Electrophysiological Mapping. IEEE International Conference on Image Processing  (ICIP), San Diego, USA, October, 2008, Pp 1428-1431 (url).
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, and Pengcheng Shi. Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. Medical Imaging and Augmented Reality (MIAR), Tokyo, Japan, August, 2008, Pp 98-107 (url).
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi. Simulation of Active Cardiac Electromechanical Dynamics. Medical Imaging and Augmented Reality (MIAR), Tokyo, Japan, August, 2008, Pp 60-69.
  • Heye Zhang, Linwei Wang, Peter J. Hunter, and Pengcheng Shi. Meshfree Framework for Image-Derived Modeling. IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, April, 2008, Pp 1449-1452 (url).
  • Ken C.L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi. Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery. In Nicholas Ayache, Sebastien Ourselin, and Anthony Maeder (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Brisbane, Australia, October 2007, Lecture Notes in Computer Science, Springer, vol 4791, pp 270-277, 2007 (acceptance rate 37%, url).
  • Zhenghui Hu, Heye Zhang, Linwei Wang, Xiaolan Song, and Pengcheng Shi. Joint Estimation for Nonlinear Dynamic System from FMRI Time Series. IEEE International Conference on Image Processing (ICIP), San Antonio, USA, September, 2007, Pp 145-148 (url).
  • Linwei Wang, Heye Zhang, and Pengcheng Shi. Toward Noninvasive 3D Imaging of Cardiac Arrhythmias. Functional Imaging and Modeling of the Heart (FIMH), Salt Lake City, USA, June, 2007, Pp 280-289 (url).
  • Heye Zhang, Linwei Wang, and Pengcheng Shi. Simulation of Cardiac Electrophysiological Activities Using a Heart-Torso Model. Functional Imaging and Modeling of the Heart (FIMH), Salt Lake City, USA, June, 2007, Pp 150-159 (url).
  • Linwei Wang, Heye Zhang, Ken C.L. Wong, and Pengcheng Shi. Noninvasive Imaging of 3D Cardiac Electrophysiology. IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI), Washington DC, USA, April, 2007, Pp 632-635. (Invited talk) (url)
  • Linwei Wang, Heye Zhang, and Pengcheng Shi. Simultaneous Recovery of Three-dimensional Myocardial Conductivity and Electrophysiological Dynamics: A Nonlinear System Approach. Computers in Cardiology (CinC), Valencia, Spain, September, 2006, Pp 45-48 (url).
  • Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi. Imaging of 3D Cardiac Electrical Activity: A Model-based Recovery Framework. In Rasmus Larsen, Mads Nielsen, and Jon Sporring (Eds), Medical Image Computing and Computer-Assisted Intervention (MICCAI), Copenhagen, Denmark, October 2006, Lecture Notes in Computer Science, Springer,  vol 4190, pp 792-299, 2006 (acceptance rate 40%, url)

Peer-Reviewed Abstracts

  • Omar A. Gharbia and  Maryam Toloubidokhti and Adityo Prakosa and Natalia Trayanova and John L Sapp and Linwei Wang. Delineation of 3D Reentrant Circuits Using Epicardial-Endocardial ECGI. Heart Rhythm Society, 2020 
  • Linwei Wang, Ryan Missel, Prashnna K Gyawali, Jaideep V Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, and John L Sapp. A Machine Learning Approach For Computer-guided Localization Of The Origin Of Ventricular Tachycardia Using 12-lead Electrocardiograms. Heart Rhythm Society, 2020 (url, selected for The EP Concepts Ignited: Innovative Techniques and Technologies special poster session)
  • Oscar Camara, Maxime Sermesant, Pablo Lamata, Linwei Wang, Mihaela Pop, Jatin Relan, Mathieu De Craene, Herve. Delingette, Huafeng Liu, Steven Niederer, Ali Pashaei, Gernot Plank, Daniel Romero, Rafael Sebastián, Ken C.L. Wong, Heye Zhang, Nicholas Ayache, Alejandro Frangji, Pengcheng Shi, Nic Smith, and Graham Wright. Integration of different cardiac electrophysiological models into a single simulation pipeline. IEEE International Symposium on Biomedical Imaging (ISBI), pp 1429, 2012 (url).

Editorial

  • Linwei Wang, Vicky Y. Wang, and Heye Zhang. Image-Based Computational Cardiology: From Data to Understanding. Computational and Mathematical Methods in Medicine, volume 2014: article ID 120960, 2 pages, http://dx.doi.org/10.1155/2014/120960

Books and Book Chapters

  • Linwei Wang: Personalized Noninvasive Imaging of 3D Cardiac Electrophysiology. A System Approach: Basics, Methods, Applications. VDM Verlag, 2009, ISBN: 9783639184945
  • Linwei Wang, and Pengcheng Shi: Personalized Noninvasive Imaging of Three-Dimensional Volumetric Cardiac Electrophysiology, in “3D Imaging: Theory, Technology and Applications”, Emerson H. Duke and Stephen R. Aquirre (Editors), Nova publishers, 2010, ISBN: 1608768856. (url)