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2020 – today
- 2024
[j36]Casey Meisenzahl
, Karli Gillette, Anton J. Prassl, Gernot Plank, John L. Sapp, Linwei Wang:
BOATMAP: Bayesian Optimization Active Targeting for Monomorphic Arrhythmia Pace-mapping. Comput. Biol. Medicine 182: 109201 (2024)- [j35]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: 107823 (2024) - [j34]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: 106064 (2024) - [j33]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: 106090 (2024) - [j32]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): 24795-24814 (2024) - [j31]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): 47865-47887 (2024) - [j30]Jinguang Li, Yu Liu, Linwei Wang, Yumeng Sun:
A vision-based end pose estimation method for excavator manipulator. Multim. Tools Appl. 83(26): 68723-68741 (2024) - [j29]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): 2733-2744 (2024) - [c97]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP 2024: 20052-20060 - [c96]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 - [c95]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. MICCAI (6) 2024: 359-368 - [i28]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 abs/2403.06901 (2024) - [i27]Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang:
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework. CoRR abs/2403.08194 (2024) - [i26]Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang:
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. CoRR abs/2403.15433 (2024) - [i25]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR abs/2406.19973 (2024) - [i24]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 abs/2407.07674 (2024) - 2023
- [j28]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): 5686 (2023) - [j27]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): 403-415 (2023) - [c94]Pradeep Bajracharya, Anton J. Prassl, Karli Gillette, Gernot Plank, Linwei Wang:
Parameter Estimation for Personalized Cardiac Models via Active Learning. CinC 2023: 1-4 - [c93]Bipin Lekhak, Ryan Missel, Dillon Dzikowicz, Solomiya Rachynska, Wojciech Zareba, Linwei Wang:
Novel In-Home Cardiac Monitoring for Heart Failure Patients. CinC 2023: 1-4 - [c92]Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin N. 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: 1-4 - [c91]Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor:
A 3D Camera-Based Approach to High-Density ECG Imaging. CinC 2023: 1-4 - [c90]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: 1-4 - [c89]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: 183-193 - [c88]Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang:
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. ICLR 2023 - [c87]Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang:
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR 2023 - [c86]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: 163-172 - [c85]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: 255-265 - [i23]Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang:
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR abs/2307.13645 (2023) - [i22]Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang:
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CoRR abs/2308.06434 (2023) - 2022
- [j26]Xiaowei Ji, Qiang Yang, Linwei Wang:
A Self-Regulating Multi-Clutter Suppression Framework for Small Aperture HFSWR Systems. Remote. Sens. 14(8): 1901 (2022) - [j25]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): 3424 (2022) - [j24]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: 732-736 (2022) - [j23]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): 860-870 (2022) - [c84]Xiajun Jiang, Jess D. Tate, Jake Bergquist, Akil Narayan, Rob S. MacLeod, Linwei Wang:
Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. CinC 2022: 1-4 - [c83]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: 46-56 - [c82]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI 2022: 338-347 - [c81]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: 459-468 - [e8]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13431, Springer 2022, ISBN 978-3-031-16430-9 [contents] - [e7]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13432, Springer 2022, ISBN 978-3-031-16433-0 [contents] - [e6]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13433, Springer 2022, ISBN 978-3-031-16436-1 [contents] - [e5]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13434, Springer 2022, ISBN 978-3-031-16439-2 [contents] - [e4]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13435, Springer 2022, ISBN 978-3-031-16442-2 [contents] - [e3]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13436, Springer 2022, ISBN 978-3-031-16445-3 [contents] - [e2]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13437, Springer 2022, ISBN 978-3-031-16448-4 [contents] - [e1]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII. Lecture Notes in Computer Science 13438, Springer 2022, ISBN 978-3-031-16451-4 [contents] - [i21]Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang:
Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR abs/2209.12387 (2022) - [i20]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 abs/2210.02967 (2022) - [i19]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 abs/2211.01373 (2022) - 2021
- [c80]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: 181 - [c79]Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz:
Semi-Supervised Learning for Eye Image Segmentation. ETRA Short Papers 2021: 8:1-8:7 - [c78]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: 471-481 - [c77]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: 361-371 - [i18]Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz:
Semi-Supervised Learning for Eye Image Segmentation. CoRR abs/2103.09369 (2021) - [i17]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 abs/2110.06851 (2021) - 2020
- [j22]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: 104013 (2020) - [j21]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: 101670 (2020) - [j20]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): 1505-1516 (2020) - [c76]Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang:
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. ICDM 2020: 1046-1051 - [c75]Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang:
Progressive Learning and Disentanglement of Hierarchical Representations. ICLR 2020 - [c74]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: 487-496 - [c73]Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang:
Semi-supervised Medical Image Classification with Global Latent Mixing. MICCAI (1) 2020: 604-613 - [i16]Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang:
Progressive Learning and Disentanglement of Hierarchical Representations. CoRR abs/2002.10549 (2020) - [i15]Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang:
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR abs/2002.11187 (2020) - [i14]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 abs/2005.07804 (2020) - [i13]Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang:
Semi-supervised Medical Image Classification with Global Latent Mixing. CoRR abs/2005.11217 (2020) - [i12]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 abs/2006.01983 (2020) - [i11]Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang:
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR abs/2007.09522 (2020) - [i10]Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang:
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. CoRR abs/2009.11416 (2020)
2010 – 2019
- 2019
- [j19]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): 2651-2662 (2019) - [j18]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): 1172-1184 (2019) - [j17]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): 2582-2595 (2019) - [c72]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: 1078-1083 - [c71]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: 153-166 - [c70]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: 458-467 - [c69]Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang:
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. MICCAI (6) 2019: 766-774 - [i9]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 abs/1903.02948 (2019) - [i8]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 abs/1905.04803 (2019) - [i7]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 abs/1907.01406 (2019) - [i6]Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang:
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. CoRR abs/1907.09607 (2019) - [i5]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 abs/1909.01839 (2019) - [i4]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 abs/1911.05627 (2019) - 2018
- [j16]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: 43-57 (2018) - [c68]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: 443-450 - [c67]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: 1-4 - [c66]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: 1-4 - [c65]Sandesh Ghimire, Linwei Wang:
Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential. CinC 2018: 1-4 - [c64]Linwei Wang, Changjun Yu, Haorong Wang:
Seawater Antenna for High-Frequency Surface Wave Radar. CSPS (3) 2018: 776-783 - [c63]Linwei Wang, Changjun Yu, Yi Huang:
The Effect of Ground Screen System on High-Frequency Surface Wave Radar Antenna Directivity. CSPS (2) 2018: 805-813 - [c62]Mohammed Alawad, Linwei Wang:
Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation. ISBI 2018: 1318-1322 - [c61]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: 499-507 - [c60]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: 508-516 - [c59]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: 77-82 - [i3]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 abs/1808.01524 (2018) - [i2]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 abs/1810.05713 (2018) - [i1]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 abs/1811.00073 (2018) - 2017
- [j15]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): 1966-1978 (2017) - [c58]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 - [c57]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 - [c56]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 - [c55]Sandesh Ghimire, Linwei Wang:
L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal. CinC 2017 - [c54]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 - [c53]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: 223-235 - [c52]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: 616-619 - [c51]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: 25-30 - [c50]Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang:
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. MICCAI (2) 2017: 745-753 - [c49]Xuguang Yang, Changjun Yu, Aijun Liu, Linwei Wang:
Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar. MLICOM (2) 2017: 233-239 - [c48]Mingfeng Wang, Aijun Liu, Linwei Wang, Changjun Yu:
Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum. MLICOM (2) 2017: 509-517 - 2016
- [j14]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): 229-243 (2016) - [c47]Jaume Coll-Font, Dana H. Brooks, Peter M. van Dam, Jwala Dhamala, Olaf Dössel, María de la Salud Guillem Sánchez, Rob S. MacLeod, Danila Potyagaylo, Walther H. W. Schulze, Jess D. Tate, Linwei Wang:
The Consortium on Electrocardiographic Imaging. CinC 2016 - [c46]Linwei Wang, Omar Gharbia, Sandesh Ghimire, Milan Horacek, John L. Sapp:
Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia. CinC 2016 - [c45]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: 282-290 - 2015
- [j13]Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu, Yan Li:
Segmentation of Hematoxylin-Eosin stained breast cancer histopathological images based on pixel-wise SVM classifier. Sci. China Inf. Sci. 58(9): 1-13 (2015) - [j12]Azar Rahimi, Linwei Wang:
Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling. IEEE Trans. Biomed. Eng. 62(6): 1563-1575 (2015) - [c44]Vasudev Bethamcherla, Will Paul, Cecilia Ovesdotter Alm, Reynold J. Bailey, Joe Geigel, Linwei Wang:
Face-speech sensor fusion for non-invasive stress detection. AVSP 2015: 196-201 - [c43]Jaume Coll-Font, Brittany Purcell, Jingjia Xu, Petr Stovícek, Dana H. Brooks, Linwei Wang:
Evaluation of 2-norm versus Sparsity Regularization in Spline-Based Joint Reconstruction of Epicardial and Endocardial Potentials from Body-Surface Measurements. CinC 2015: 957-960 - [c42]Will Paul, Cecilia Ovesdotter Alm, Reynold J. Bailey, Joe Geigel, Linwei Wang:
Stressed out: what speech tells us about stress. INTERSPEECH 2015: 3710-3714 - [c41]Jingjia Xu, John L. Sapp, Azar Rahimi Dehaghani, Fei Gao, Milan Horacek, Linwei Wang:
Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG-Based Inference. MICCAI (2) 2015: 519-527 - 2014
- [j11]Linwei Wang, Vicky Y. Wang, Heye Zhang:
Image-Based Computational Cardiology: From Data to Understanding. Comput. Math. Methods Medicine 2014: 120960:1-120960:2 (2014) - [j10]Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang:
Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variation Functional. IEEE Trans. Medical Imaging 33(9): 1860-1874 (2014) - [c40]Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu, Yan Li:
Two-step segmentation of Hematoxylin-Eosin stained histopathological images for prognosis of breast cancer. BIBM 2014: 218-223 - [c39]Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang:
Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium. CVPR 2014: 3043-3050 - [c38]Azar Rahimi, Jingjia Xu, Linwei Wang:
Multiple-model Bayesian approach to volumetric imaging of cardiac current sources. ICIP 2014: 3522-3526 - [c37]Azar Rahimi, Jingjia Xu, Linwei Wang:
Electrophysiological imaging of volumetric infarct border using a spatio-temporal LP-norm constraint. ISBI 2014: 612-615 - [c36]Hongda Mao, Megan Gribble, Arkady M. Pertsov, Linwei Wang, Pengcheng Shi:
Understanding embryonic heart morphogenesis through automatic segmentation and confocal imaging with optical clearing. ISBI 2014: 1303-1306 - [c35]Jingjia Xu, John L. Sapp, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang:
Variational Bayesian Electrophysiological Imaging of Myocardial Infarction. MICCAI (2) 2014: 529-537 - [c34]Azar Rahimi, Jingjia Xu, Linwei Wang:
Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging. MICCAI (2) 2014: 538-545 - 2013
- [j9]Linwei Wang:
Computational reduction for noninvasive transmural electrophysiological imaging. Comput. Biol. Medicine 43(3): 184-199 (2013) - [j8]Azar Rahimi, Jingjia Xu, Linwei Wang:
Lp-Norm Regularization in Volumetric Imaging of Cardiac Current Sources. Comput. Math. Methods Medicine 2013: 276478:1-276478:10 (2013) - [j7]Linwei Wang, Fady Dawoud, Sai Kit Yeung, Pengcheng Shi, Ken C. L. Wong, Huafeng Liu, Albert C. Lardo:
Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts. IEEE Trans. Medical Imaging 32(4): 731-747 (2013) - [c33]Azar Rahimi, Jingjia Xu, John R. Fitz-Clarke, Linwei Wang:
Volumetric Imaging of Cardiac Current Sources using Lp-Norm Regularization. CinC 2013: 715-718 - [c32]Azar Rahimi Dehaghani, Linwei Wang:
The impact of ventricular shape variations on inverse electrocardiography: A feasibility study. ISBI 2013: 564-567 - [c31]Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang:
A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging. MICCAI (1) 2013: 501-508 - 2012
- [c30]Oscar Camara, Maxime Sermesant, Pablo Lamata, Linwei Wang, Mihaela Pop, Jatin Relan, Mathieu De Craene, Hervé Delingette, Huafeng Liu, Steven A. Niederer, Ali Pashaei, Gernot Plank, Daniel Romero, Rafael Sebastián, Ken C. L. Wong, Heye Zhang, Nicholas Ayache, Alejandro F. Frangi, Pengcheng Shi, Nic Smith, Graham A. Wright:
Integration of different cardiac electrophysiological models into a single simulation pipeline. ISBI 2012: 1429 - [c29]Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Towards integrated noninvasive personalization of cardiac electromechanics. ISBI 2012: 1430-1433 - [c28]Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, Pengcheng Shi:
Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. MICCAI (1) 2012: 617-624 - [c27]Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang:
Localization of Sparse Transmural Excitation Stimuli from Surface Mapping. MICCAI (1) 2012: 675-682 - 2011
- [j6]Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi:
Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct. IEEE Trans. Biomed. Eng. 58(4): 1033-1043 (2011) - [j5]Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi:
Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery. IEEE Trans. Medical Imaging 30(4): 990-1000 (2011) - [c26]Mohamed Elshrif, Linwei Wang, Pengcheng Shi:
Dynamic Classification of Cellular Transmural TransMembrane Potential (TMP) Activity of the Heart. FIMH 2011: 36-46 - [c25]Linwei Wang, Fady Dawoud, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Albert C. Lardo, Pengcheng Shi:
Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction. STACOM 2011: 23-32 - [c24]Azar Rahimi, Hongda Mao, Pengcheng Shi, Linwei Wang:
Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Details. STACOM 2011: 188-197 - [c23]Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Volumetric Modeling Electromechanics of the Heart. STACOM 2011: 224-233 - [c22]Ken C. L. Wong, Linwei Wang, Huafeng Liu, Pengcheng Shi:
A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints. MICCAI (1) 2011: 420-427 - 2010
- [j4]Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi:
Meshfree implementation of individualized active cardiac dynamics. Comput. Medical Imaging Graph. 34(1): 91-103 (2010) - [j3]Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials. IEEE Trans. Biomed. Eng. 57(2): 296-315 (2010) - [c21]Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi:
Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery. ICIP 2010: 4417-4420 - [c20]Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi:
Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery. MICCAI (1) 2010: 159-166 - [c19]Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi:
How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization. STACOM/CESC 2010: 232-241 - [c18]Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi:
A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data. STACOM/CESC 2010: 261-269
2000 – 2009
- 2009
- [j2]Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform. Int. J. Funct. Informatics Pers. Medicine 2(2): 175-200 (2009) - [j1]Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi:
Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery. J. Signal Process. Syst. 55(1-3): 281-296 (2009) - [c17]Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Noninvasive volumetric imaging of cardiac electrophysiology. CVPR 2009: 2176-2183 - [c16]Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi:
Electrocardiographic Simulation on Coupled Meshfree-BEM Platform. FIMH 2009: 162-171 - [c15]Ken C. L. Wong, Linwei Wang, Pengcheng Shi:
Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis. FIMH 2009: 229-238 - [c14]Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi:
A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity. ICASSP 2009: 533-536 - [c13]Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi:
Nonlinear cardiac deformation recovery from medical images. ICIP 2009: 2513-2516 - [c12]Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction. MICCAI (1) 2009: 732-740 - 2008
- [c11]Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi:
Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping. ICIP 2008: 1428-1431 - [c10]Heye Zhang, Linwei Wang, Peter J. Hunter, Pengcheng Shi:
Meshfree framework for image-derived modelling. ISBI 2008: 1449-1452 - [c9]Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi:
Simulation of Active Cardiac Electromechanical Dynamics. MIAR 2008: 60-69 - [c8]Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi:
Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. MIAR 2008: 98-107 - [c7]Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi:
Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction. MICCAI (1) 2008: 1042-1050 - 2007
- [c6]Heye Zhang, Linwei Wang, Pengcheng Shi:
Simulations of Cardiac Electrophysiological Activities Using a Heart-Torso Model. FIMH 2007: 150-159 - [c5]Linwei Wang, Heye Zhang, Pengcheng Shi:
Towards Noninvasive 3D Imaging of Cardiac Arrhythmias. FIMH 2007: 280-289 - [c4]Zhenghui Hu, Heye Zhang, Linwei Wang, Xiaolan Song, Pengcheng Shi:
Joint Estimation for Nonlinear Dynamic System from FMRI Time Series. ICIP (3) 2007: 145-148 - [c3]Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi:
Noninvasive Imaging of 3d Cardiac Electrophysiology. ISBI 2007: 632-635 - [c2]Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi:
Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery. MICCAI (1) 2007: 270-277 - 2006
- [c1]Linwei Wang, Heye Zhang, Pengcheng Shi, Huafeng Liu:
Imaging of 3D Cardiac Electrical Activity: A Model-Based Recovery Framework. MICCAI (1) 2006: 792-799
Coauthor Index
Prashnna K. Gyawali
aka: Prashnna Kumar Gyawali
aka: Prashnna Kumar Gyawali
B. Milan Horácek
aka: Milan Horacek
aka: Milan Horacek
Azar Rahimi
aka: Azar Rahimi Dehaghani
aka: Azar Rahimi Dehaghani
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