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2020 – today
- 2025
[j38]Linwei Wang, Rong Zhou, Jianhang Yang, Zhen Li, Zhicheng Dong, Shubin Liu, Zhangming Zhu:
A 0.4-V 500-kHz FLL With Reused TDA-Based Calibration and OTA-Accelerated Technique in 65-nm CMOS for Sleep Timer. IEEE Trans. Circuits Syst. II Express Briefs 72(1): 93-97 (2025)- 2024
- [j37]Kaiwei Xu, Yi Chen, Wenqi Shen, Fan Liu, Ruoyu Wu, Jiajing Ni, Linwei Wang, Chunqu Chen, Lubin Zhu, Weijian Zhou, Jian Zhang, Changjing Zuo, Jianhua Wang:
Desmoplastic Small Round Cell Tumor: a study of CT, MRI, PET/CT multimodal imaging features and their correlations with pathology. BMC Medical Imaging 24: 336 (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]