Linwei Wang
Professor
Department of Computing and Information Sciences Ph.D.
Golisano College of Computing and Information Sciences
585-475-4238
Office Location
Linwei Wang
Professor
Department of Computing and Information Sciences Ph.D.
Golisano College of Computing and Information Sciences
Education
BS, Zhejiang University (China); M.Phil., Hong Kong University of Science and Technology (Hong Kong); Ph.D., Rochester Institute of Technology
585-475-4238
Areas of Expertise
Artificial Intelligence
Data Science
Health Informatics
Select Scholarship
Journal Paper
Alawad, Mohammed 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. (2018): DOI: 10.1109/TMI.2018.2880092 [Epub ahead of print]. Web.
Dhamala, Jwala, et al. "Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo in Cardiac Electrophysiology." Medical Image Analysis 48. (2018): 43-57. Print.
Wang, Linwei, et al. "Noninvasive Epicardial and Endocardial Electrocardiographic Imaging for Scar-related Ventricular Tachycardia." Europace 20. FI2 (2018): f263-f272. Web.
Ghimire, Sandesh, et al. "Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential,." Medical Image Computing and Computer-Assisted Intervention. (2018): 508-516. Web.
Dhamala, Jwala, et al. "High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model." Medical Image Computing and Computer-Assisted Intervention. (2018): 499-507. Web.
Alawad, Mohammed and Linwei Wang. "Leveraging Simulation Data for Learning a Patient-specific Model to Localize the Origin of Ventricular Activation." IEEE International Symposium on Biomedical Imaging. (2018): 1318-1322. Web.
Gyawali, Prashnna, et al. "Learning Disentangled Representation from 12-lead Electrocardiograms: Application in Localizing the Origin of Ventricular Tachycardia." AAAI Workshop on Health Intelligence,. (2018): 443-450. Web.
Medina, Rebecca, et al. "Sensing Behaviors of Students in Online vs. Face-to-face Lecturing Contexts." IEEE Pervasive Computing Workshop. (2018): 77-82. Web.
Coll-Font, Jaume, 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. (2018): in press. Web.
Gharbia, Omar A, et al. "Noninvasive Electrocardiographic Imaging of Scar-related Ventricular Tachycardia: Association with Magnetic Resonance Imaging,Computing in Cardiology,." Computing in Cardiology. (2018): in press. Web.
Ghimire, Sandesh and Linwei Wang. "Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential." Computing in Cardiology. (2018): in press. Web.
Dhamala, Jwala, et al. "Spatially-Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology." IEEE Transactions on Medical Imaging 36. 9 (2017): 1966-1978. Web.
Dhamala, .Jwala, et al. "Quantifying the Uncertainty in Model Parameters Using Gaussian Process based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models." Quantifying the Uncertainty in Model Parameters using Gaussian Process based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models 10265. (2017): 223-235. Print.
Ghimire, Sandesh, et al. "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 C." edical Image Computing and Computer-Assisted Intervention 10434. (2017): 745-753. Web.
Chen, Shuhang, et al. "Disentangling Inter-subject Variations: Automatic Localization of Ventricular Tachycardia Origin from 12-lead Electrocardiograms." International Symposium on Biomedical Imaging. (2017): 7950596. Web.
Edwards, Ashley A., et al. "Sensor-based Methodological Observations for Studying Online Learning." 2017 ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning (SmartLearn). (2017): 25-30,. Web.
Gyawali, Prashnna, et al. "Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram." Computing in Cardiology. (2017): in press. Web.
Gharbia, Omar, et al. "Electrical and Anatomical Imaging of Arrhythmogenic Substrates for Scar-related Ventricular Tachycardia." Computing in Cardiology. (2017): in press. Web.
Ghimire, Sandesh, et al. "Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: A Community - Based Approach." Computing in Cardiology. (2017): in press. Web.
Ghimire, Sandesh and Linwei Wang. "L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal." Computing in Cardiology. (2017): in press. Web.
Coppola, Erin, et al. "Atrial Fibrillation Classification from a Short Single Lead CG Recording Using Hierarchical Classifie." Computing in Cardiology. (2017): in press. Print.
Wang, Linwei, et al. "Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-related Ventricular Tachycardia,." Journal of Electrocardiology 49. 6 (2016): 887-893. Print.
Rahimi, Azar and Linwei Wang. "Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling." IEEE Transactions on Biomedical Imaging. (2015): in press. Print.
Rahimi, Azar and Wang, Linwei. "Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling,." IEEE Transactions on Biomedical Imaging 62. 6 (2015): 1563-1575. Print.
Rahimi, Azar, et al. "Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach." IEEE Transactions on Medical Imaging. (2015): in press. Print.
Horacek, B. Milan, et al. "Noninvasive Electrocardiographic Imaging of Chronic Myocardial Infarct Scar." Journal of Electrocardiology 48. 6 (2015): 952-958. Web.
Aras, Kedar, et al. "Experimental Data and Geometric Analysis Repository -- Edgar." Journal of Electrocardiology 48. 6 (2015): 975-981. Web.
Xu, Jingjia, et al. "Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variation Functional." IEEE Transactions on Medical Imaging 33. 9 (2014): 1860-1874. Print.
Rahimi, Azar, Jingjia Xu, and Linwei Wang. "Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging." Medical Image Computing and Computer-Assisted Intervention 8674. (2014): 538-545. Print.
Xu, Jingjia, et al. "Variational Bayesian Electrophysiological Imaging of Myocardial Infarction." Medical Image Computing and Computer-Assisted Intervention 8674. (2014): 529-537. Print.
Xu, Jingjia, et al. "Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Application on Reconstruction of 3D Ischemic Myocardium." Computer Vision and Pattern Recognition. (2014): 3043-3050. Web.
Rahimi, Azar, Jingjia Xu, and Linwei Wang. "Multiple-Model Bayesian Approach to Volumetric Imaging of Cardiac Current Sources." IEEE International Conference on Image Processing. (2014): 3522-3526. Web.
Rahimi, Azar, Jingjia Xu, and Linwei Wang. "Electrophysiological Imaging of Voluemtric Infarct Border Using a Spatio-Temporal Lp-Norm Constraint." IEEE International Symposium on Biomedical Imaging. (2014): 612-615. Web.
Mao, Hongda, et al. "Understanding Embroyonic Heart Morphogenesis Through Automatic Segmentation and Confocal Imaging with Optimal Clearing." IEEE International Symposium on Biomedical Imaging. (2014): 1303-1306. Web.
Rahimi, Azar, Jingjia Xu, and Linwei Wang. "Lp-Norm Regularization in Volumetric Imaging of Cardiac Current Sources." Computational and Mathematical Methods in Medicine. (2013): 276468. Web.
Wang, Linwei, et al. "Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts." IEEE Transactions on Medical Imaging, 32. 4 (2013): 731-747. Print.
Wang, Linwei. "Computational Reduction for Noninvasive Transmural Electrophysiological Imaging." Computers in Biology and Medicine 43. (2013): 184-199. Print.
Xu, Jingjia, et al. "A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging." Medical Image Computing and Computer-Assisted Intervention. (2013): 501-508. Print.
Rahimi, Azar and Linwei Wang. "The Impact of Ventricular Shape Variations on Inverse Electrocardiography: A Feasibility Study." IEEE International Symposium on Biomedical Imaging. (2013): 564-567. Print.
Rahimi, Azar, et al. "Volumetric Imaging of Cardiac Current Source using Lp-Norm Regularization." Computing in Cardiology 40. (2013): 715-718. Web.
Wang, Linwei, et al. "Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts." IEEE Transactions on Medical Imaging. (2012): in press. Print.
Wang, Linwei. "Computational Reduction for Noninvasive Transmural Electrophysiological Imaging." Computers in Biology and Medicine. (2012): in press. Print.
Rahimi, Azar, Jingjia Xu, and Linwei Wang. "Impact of Local Variations in Ventricular Anatomical Models on Transmural Electrophysiological Imaging." Computing in Cardiology. (2012): 957-960. Print.
Wong, Ken CL, et al. "Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images." Medical Image Computing and Computer-Assisted Intervention. (2012): 617-624. Print.
Corraine, Martin, Sonia Lopez, and Linwei Wang. "GPU Accelerations of Transmural Electrophysiological Imaging." Computing in Cardiology. (2012): 849-952. Print.
Wang, Linwei and Fady Dawoud. "Transmural Imaging of Ventricular Action Potentials and Post-Infarct Substrates in Porcine Hearts." Computing in Cardiology. (2012): 749-752. Print.
Mao, Hongda, et al. "Towards Integrated Noninvasive Personalization of Cardiac Electromechanics." IEEE International Symposium on Biomedical Imaging. (2012): 1430-1433. Print.
Camara, Oscar, et al. "Integration of Different Cardiac Electrophysiological Models into a Single Simulation Pipeline." IEEE International Symposium on Biomedical Imaging. (2012): 1429. Print.
Wang, Linwei, et al. "Noninvasive Computational Imaging of Cardiac Electrophysiology for 3D Infarct Quantification." IEEE Transactions on Biomedical Engineering 58. 4 (2011): 1033-1043. Print.
Camara, Oscar, et al. "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 107. 1 (2011): 122-133. Print.
Wong, Ken C. L. and Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi. "Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery." IEEE Transactions on Medical Imaging 30. 4 (2011): 990-1000. Print.
Wang, Linwei, et al. "Mapping the Transmural Scar and Activation for Patients with Ventricular Arrhythmia." Computing in Cardiology. (2011): 1-4. Print.
Mao, Hongda, et al. "A Coupled Heart-Torso Framework for Cardiac Electrocardiographic Simulation." Computing in Cardiology. (2011): 1-4. Print.
Wong, Ken C. L., et al. "A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints." Medical Image Computing and Computer Assisted Intervention. (2011): 1-8. Print.
Wang, Linwei, et al. "Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction." Medical Image Computing and Computer Assisted Intervention Workshop on Statistical Atlases and Computational Models of the Heart. (2011): 1-8. Print.
Rahimi, Azar and Hongda Mao, Pengcheng Shi and Linwei Wang. "Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Detail." Medical Image Computing and Computer Assisted Intervention Workshop on Statistical Atlases and Computational Models of the Heart. (2011): 1-8. Print.
Mao, Hongda, et al. "Volumetric Modeling Electromechanics of the Heart." Medical Image Computing and Computer Assisted Intervention Workshop on Statistical Atlases and Computational Models of the Heart. (2011): 1-8. Print.
Elshrif, Mohamed and Linwei Wang and Pengcheng Shi. "Dynamic Classification of Cellular Transmural Transmembrane Potential (TMP) Activity of the Heart." Functional Imaging and Modeling of the Heart. (2011): 36-46. Print.
Invited Keynote/Presentation
Wang, Linwei. "Active Surrogate Modeling for Uncertainty Quantification in Personalized Models." Distinguished seminar series. University of Utah. Salt Lake City, Utah. 26 Oct. 2018. Lecture.
Wang, Linwei. "High-dimensional Bayesian Active Learning for Personalized Modeling." Western New York Image and Signal Processing Workshop. Rochester Institute of Technology. Rochester, New York. 5 Oct. 2018. Keynote Speech.
Wang, Linwei. "Active Surrogate Modeling for Uncertainty Quantification in Personalized Models." RIT Center for Imaging Science Seminar. Rochester Institute of Technology. Rochester, New York. 5 Sep. 2018. Lecture.
Wang, Linwei. "Noninvasive Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia." Annual Meetings of International Society of Computerized Electrocardiology. International Society of Computerized Electrocardiology. Tucson, AZ. 16 Apr. 2016. Conference Presentation.
Wang, Linwei. "Integrating Physics-Based Models into Transmural Electrocardiographic Imaging: Opportunities and Challenges." ECG-Imaging Workshop. KIT. Bad Herrenalb, Germany. 27 Mar. 2015. Keynote Speech.
Wang, Linwei. "Noninvasive Transmural Electrophysiological Imaging of Myocardial Infarction." STAFF Symposium. STAFF. Boston, MA. 15 Sep. 2014. Keynote Speech.
Wang, Linwei. "Mapping the Transmural Scar and Activation for Patients with Ventricular Arrhythmia." Computing in Cardiology. Zhejiang University. China, Hangzhou, Zhejiang. 21 Sep. 2011. Keynote Speech.
Journal Editor
Wang, Linwei, ed. Frontiers in Physiology. NA: n.p., 2018. Web.
Wang, Linwei, Maria S Guillem, and Carlos Figuerra, ed. Frontiers in Physiology. : Frontiers, 2017. Web.
Wang, Linwei, Heye Zhang, and Vicky Wang, ed. Computational and Mathematical Methods in Medicine. NA: Hindawi, 2014. Web.
Wang, Linwei, Vicky Wang, and Heye Zhang, ed. Computational and Mathematical Methods in Medicine. : Hindawi, 2013. Web.
Published Conference Proceedings
Dhamala, Jwala, et al. "Spatially-Adaptive Multi-Scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models." Proceedings of the Medical Image Computing and Computer-Assisted Intervention (MICCAI). Ed. S. Ourseline., L. Joskowicz, M. Sabuncu, G. Unal and W. Wells. Athens, GREECE: Springer, 2016. Web.
Wang, Linwei, et al. "Noninvasive Electrocardiographic Imaging of Scar-related Ventricular Tachycardia." Proceedings of the Computing in Cardiology. Vancouver, Canada: IEEE, 2016. Web.
Xu, Jingjia, et al. "Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG- Based Inference,." Proceedings of the Medical Image Computing and Computer-Assisted Intervention (MICCAI),. Ed. Nassir Navab, et al. Germany, Munich: Springer, Web.
Paul, Will, et al. "Stressed Out: What Speech Tells Us About Stress." Proceedings of the Interspeech, Dresden, Germany. n.p., Web.
Bethamcherla, Vasudev, et al. "Face-Speech Sensor Fusion for Nonintrusive Stress Detection." Proceedings of the Facial Analysis, Animation, and Auditory-Visual Speech Processing (Vienna, Austria, September 2015). n.p., Web.
Coll-Font, Jaume, et al. "Valuation of 2-Norm Versus Sparsity Regularization in Spline-Based Joint Reconstruction of Epicardial and Endocardial Potentials from Body-Surface Measurements,." Proceedings of the Computing in Cardiology. n.p., Web.
National/International Competition Award Winner
Wang, Linwei, Thomas Hacker, and Suzane Shontz. National Science Foundation. Participant Support for the 2016 NSF CyberBridges Workshop. Rochester, NY, 2016.
Wang, Linwei, Shontz, Suzanne, and Hacker,Thomas. National Science Foundation. Participant Support for the 2015 NSF CyberBridges Workshop. Arlington, VA, 2015.
External Scholarly Fellowships/National Review Committee
6/1/2014 - 5/31/2019
National Science Foundation
Amount: 446143
National Science Foundation
Amount: 446143
11/12/2014 - 10/31/2016
National Institutes of Health
Amount: 418602
National Institutes of Health
Amount: 418602
Published Article
Wang, Linwei, Heye Zhang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. “Physiological-Model-Constrained Noninvasive Reconstruction ofVolumetric Myocardial Transmembrane Potentials.” IEEE Transactions on Biomedical Engineering, 57.2 (2010): 296-315. Print. «
Wong Ken C.L., Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi. “Meshfree Implementation of Individualized Active Cardiac Dynamics.” Computerized Medical Imaging and Graphics, 34.1 (2010): 91-103. Print. «
Wang, Linwei, 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 Customization.” Statistical Atlases and Computational Models of the Heart, 2010. 232-241. Print. " «
Wang, Linwei, 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.” Statistical Atlases and Computational Models of the Heart, 2010. 261-269. Print. «
Wong, Ken C.L., Linwei Wang, Heye Zhang, and Pengcheng Shi. “Computational Complexity Reduction Via Mode Superposition: Application to Biomechanics-Based Nonlinear Cardiac Deformation Recovery.” 17th IEEE International Conference on Image Processing (ICIP), 2010. 4417-4420. Print. «
Wong, Ken C.L, Linwei Wang, Heye Zhang, and Pengcheng Shi. “Physiological Fusion of Functional and Structural Data for Cardiac DeformationRecovery.” Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2010, 2010. 159-166. Print. " É «
Currently Teaching
CISC-820
Quantitative Foundations
3 Credits
This course provides an introduction in the fundamentals of working with quantitative information. Topics include matrix algebra (matrices, vectors, direct and indirect methods for solving linear systems, eigenvectors, singular value decomposition, least-squares systems) optimization (convex analysis, gradient descent, Newton's method, interior-point methods), statistics (random variables, p-values, hypothesis testing, confidence intervals) and data exploration (clustering, dimensionality reduction, curve fitting). Note: Knowledge in probability and statistics calculus, and computer programming or permission of instructor is required.
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