Linwei Wang - RankMe

183 papers A* 11A 2B 4Misc 1Journal 72Unranked 85

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A body-gate dynamically floated SPDT switch enabled by 53 nW self-clocked charge pump for low-power IoT applications. Microelectron. J. Xianlong Xiong, Hongjian Lan, Tianxu Chen, Jianhang Yang, Zhen Li, Linwei Wang, Shubin Liu, Rong Zhou
2025	J	`jnl`	A -79 dBm 7.56 nW 433 MHz Wake-Up Receiver With Interference Suppression for IoT Application. IEEE Trans. Circuits Syst. I Regul. Pap. Jianhang Yang, Rong Zhou, Xianlong Xiong, Linwei Wang, Hongjian Lan, Shubin Liu, Zhangming Zhu
2025	J	`jnl`	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 Linwei Wang, Rong Zhou, Jianhang Yang, Zhen Li, Zhicheng Dong, Shubin Liu, Zhangming Zhu
2025	J	`jnl`	A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration. IEEE J. Biomed. Health Informatics Nikhil Shenoy, Maryam Toloubidokhti, Omar Gharbia, MirMilad P. Khoshknab, Saman Nazarian, John L. Sapp, Vivek Singh, Ankur Kapoor, Linwei Wang
2025	A*	`conf`	Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt. ICLR Ryan Missel, Linwei Wang
2025	—	`conf`	IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction. MICCAI (2) Kailong Fan, Yubo Ye, Huafeng Liu, Linwei Wang
2025	J	`jnl`	Identifying influential nodes in complex networks: a semi-local centrality measure based on augmented graph and average shortest path theory. Telecommun. Syst. Hanhuai Pan, Linwei Wang, Liu Hao, MohammadJavad Abdollahi
2025	—	`conf`	Meta-learning Physics-Informed Neural Networks for Personalized Cardiac Modeling. MICCAI (1) Maryam Toloubidokhti, Ryan Missel, Shichang Lian, Linwei Wang
2025	—	`conf`	ROSE: RADICAL Orchestrator for Surrogate Exploration. SC Workshops Aymen Alsaadi, Tianle Wang, Andrew Park, Pradeep Bajracharya, Linwei Wang, Fanbo Sun, Sudip Seal, Vikram Jadhao, Geoffrey C. Fox, Shantenu Jha
2025	J	`jnl`	Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China. Syst. Wenhan Lin, Congying Li, Weibin Zheng, Linwei Wang, Yanqun Yang
2024	—	`conf`	A 2.4 GHz Ultra-Low-Power Low-Voltage Temperature-Stable Transmitter for Biosensing Applications. BioCAS Linwei Wang, Rong Zhou, Shubin Liu, Zhangming Zhu
2024	J	`jnl`	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. Rong Zhou, Linwei Wang, Jianhang Yang, Zhen Li, Xiaoteng Zhao, Shubin Liu
2024	J	`jnl`	A vision-based end pose estimation method for excavator manipulator. Multim. Tools Appl. Jinguang Li, Yu Liu, Linwei Wang, Yumeng Sun
2024	J	`jnl`	A wideband low power RF Receiver Front-End for Internet-of-Things applications. Microelectron. J. Rong Zhou, Jianhang Yang, Linwei Wang, Xiaoteng Zhao, Shubin Liu, Depeng Sun
2024	J	`jnl`	BOATMAP: Bayesian Optimization Active Targeting for Monomorphic Arrhythmia Pace-mapping. Comput. Biol. Medicine Casey Meisenzahl, Karli Gillette, Anton J. Prassl, Gernot Plank, John L. Sapp, Linwei Wang
2024	A*	`conf`	DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. ICLR Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang
2024	J	`jnl`	Deep Learning-based drone acoustic event detection system for microphone arrays. Multim. Tools Appl. Yumeng Sun, Jinguang Li, Linwei Wang, Junjie Xv, Yu Liu
2024	J	`jnl`	Desmoplastic Small Round Cell Tumor: a study of CT, MRI, PET/CT multimodal imaging features and their correlations with pathology. BMC Medical Imaging 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
2024	J	`jnl`	Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations. CoRR Pradeep Bajracharya, Javier Quetzalcóatl Toledo-Marín, Geoffrey C. Fox, Shantenu Jha, Linwei Wang
2024	J	`jnl`	HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology. CoRR Xiajun Jiang, Sumeet Vadhavkar, Yubo Ye, Maryam Toloubidokhti, Ryan Missel, Linwei Wang
2024	J	`jnl`	Hybrid Neural State-Space Modeling for Supervised and Unsupervised Electrocardiographic Imaging. IEEE Trans. Medical Imaging Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Karli Gillette, Anton J. Prassl, Gernot Plank, B. Milan Horácek, John L. Sapp, Linwei Wang
2024	—	`conf`	LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. MICCAI (6) Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang
2024	J	`jnl`	LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration. CoRR Dingrong Wang, Soheil Azadvar, Jon S. Heiselman, Xiajun Jiang, Michael I. Miga, Linwei Wang
2024	A*	`conf`	On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution. NeurIPS Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang
2024	J	`jnl`	On the Interdependence between Data Selection and Architecture Optimization in Deep Active Learning. Trans. Mach. Learn. Res. Pradeep Bajracharya, Rui Li, Linwei Wang
2024	J	`jnl`	STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
2024	A*	`conf`	Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
2024	J	`jnl`	Thermal parameter inversion of low-heat cement concrete for Baihetan arch dam. Eng. Appl. Artif. Intell. Feng Wang, Rui Song, Hu Yu, Ao Zhang, Linwei Wang, Xia Chen
2024	J	`jnl`	Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework. CoRR Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang, Ryan Missel, Huafeng Liu, Linwei Wang
2024	J	`jnl`	Visual perception system design for rock breaking robot based on multi-sensor fusion. Multim. Tools Appl. Jinguang Li, Yu Liu, Shuai Wang, Linwei Wang, Yumeng Sun, Xin Li
2023	—	`conf`	A 3D Camera-Based Approach to High-Density ECG Imaging. CinC Nikhil Shenoy, Maryam Toloubidokhti, Linwei Wang, Vivek Singh, Ankur Kapoor
2023	—	`conf`	A Comparative Analysis of Data-Driven Modelling Techniques for 30-Day Heart Failure Readmission Prediction. CinC Ryan Missel, Jesdin Raphael, Christopher M. Haggerty, Dustin N. Hartzel, Jeffery Ruhl, Brandon K. Fornwalt, Linwei Wang
2023	—	`conf`	A Spatial-Temporally Adaptive PINN Framework for 3D Bi-Ventricular Electrophysiological Simulations and Parameter Inference. MICCAI (7) Yubo Ye, Huafeng Liu, Xiajun Jiang, Maryam Toloubidokhti, Linwei Wang
2023	A*	`conf`	Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang
2023	—	`conf`	Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CLIP/FAIMI/EPIMI@MICCAI Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang
2023	J	`jnl`	Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CoRR Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang
2023	—	`conf`	Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit. CinC Maryam Toloubidokhti, Omar A. Gharbia, Natalia A. Trayanova, John L. Sapp, Linwei Wang
2023	J	`jnl`	Improving Generalization by Learning Geometry-Dependent and Physics-Based Reconstruction of Image Sequences. IEEE Trans. Medical Imaging Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2023	—	`conf`	Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
2023	J	`jnl`	Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
2023	—	`conf`	Novel In-Home Cardiac Monitoring for Heart Failure Patients. CinC Bipin Lekhak, Ryan Missel, Dillon Dzikowicz, Solomiya Rachynska, Wojciech Zareba, Linwei Wang
2023	—	`conf`	Parameter Estimation for Personalized Cardiac Models via Active Learning. CinC Pradeep Bajracharya, Anton J. Prassl, Karli Gillette, Gernot Plank, Linwei Wang
2023	A*	`conf`	Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting. ICLR Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang
2023	J	`jnl`	Systematic Evaluation of Multi-Resolution ICESat-2 Canopy Height Data: A Case Study of the Taranaki Region. Remote. Sens. Feng Chen, Xuqing Zhang, Longyu Wang, Bing Du, Songya Dang, Linwei Wang
2022	J	`jnl`	A Self-Regulating Multi-Clutter Suppression Framework for Small Aperture HFSWR Systems. Remote. Sens. Xiaowei Ji, Qiang Yang, Linwei Wang
2022	J	`jnl`	Deep Learning Aided Time-Frequency Analysis Filter Framework for Suppressing Ionosphere Clutter. Remote. Sens. Xiaowei Ji, Jiaming Li, Qiang Yang, Linwei Wang, Ying Suo, Xiaochuan Wu
2022	—	`conf`	Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning. MICCAI (8) Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
2022	J	`jnl`	Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning. CoRR Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
2022	—	`conf`	Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022	J	`jnl`	Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
2022	J	`jnl`	Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. Prashnna K. Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, Xiajun Jiang, B. Milan Horácek, John L. Sapp, Linwei Wang
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I MICCAI (1) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II MICCAI (2) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III MICCAI (3) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV MICCAI (4) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V MICCAI (5) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI MICCAI (6) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII MICCAI (8) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII MICCAI (8) Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
2022	—	`conf`	Neural State-Space Modeling with Latent Causal-Effect Disentanglement. MLMI@MICCAI Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
2022	J	`jnl`	Neural State-Space Modeling with Latent Causal-Effect Disentanglement. CoRR Maryam Toloubidokhti, Ryan Missel, Xiajun Jiang, Niels Otani, Linwei Wang
2022	J	`jnl`	PARAFAC-Direct: A Joint Parameters Estimation Method for Slow-Time MIMO. IEEE Signal Process. Lett. Linwei Wang, Bo Li, Changjun Yu, Aijun Liu, Xiaowei Ji
2022	—	`conf`	Uncertainty Quantification of Cardiac Position on Deep Graph Network ECGI. CinC Xiajun Jiang, Jess D. Tate, Jake Bergquist, Akil Narayan, Rob S. MacLeod, Linwei Wang
2021	—	`conf`	Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH 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
2021	J	`jnl`	Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning. CoRR Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2021	—	`conf`	Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling. MICCAI (6) Xiajun Jiang, Ryan Missel, Maryam Toloubidokhti, Zhiyuan Li, Omar Gharbia, John L. Sapp, Linwei Wang
2021	A	`conf`	Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. BMVC Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang
2021	—	`conf`	Semi-Supervised Learning for Eye Image Segmentation. ETRA Short Papers Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
2021	J	`jnl`	Semi-Supervised Learning for Eye Image Segmentation. CoRR Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
2020	J	`jnl`	A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput. Biol. Medicine Ryan Missel, Prashnna K. Gyawali, Jaideep Vitthal Murkute, Zhiyuan Li, Shijie Zhou, Amir AbdelWahab, Jason Davis, James Warren, John L. Sapp, Linwei Wang
2020	J	`jnl`	Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models. Medical Image Anal. Jwala Dhamala, Pradeep Bajracharya, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2020	A*	`conf`	Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. ICDM Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
2020	J	`jnl`	Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. CoRR Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
2020	J	`jnl`	High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. CoRR Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2020	—	`conf`	Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
2020	J	`jnl`	Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
2020	A*	`conf`	Progressive Learning and Disentanglement of Hierarchical Representations. ICLR Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang
2020	J	`jnl`	Progressive Learning and Disentanglement of Hierarchical Representations. CoRR Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang
2020	J	`jnl`	Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. CoRR Jwala Dhamala, John L. Sapp, B. Milan Horácek, Linwei Wang
2020	J	`jnl`	Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang
2020	—	`conf`	Semi-supervised Medical Image Classification with Global Latent Mixing. MICCAI (1) Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
2020	J	`jnl`	Semi-supervised Medical Image Classification with Global Latent Mixing. CoRR Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
2020	J	`jnl`	Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Biomed. Eng. Prashnna Kumar Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
2019	—	`conf`	Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. MICCAI (2) Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	J	`jnl`	Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. CoRR Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	J	`jnl`	Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. CoRR Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	A*	`conf`	Improving Disentangled Representation Learning with the Beta Bernoulli Process. ICDM Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
2019	J	`jnl`	Improving Disentangled Representation Learning with the Beta Bernoulli Process. CoRR Prashnna Kumar Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
2019	—	`conf`	Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. IPMI Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2019	J	`jnl`	Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. CoRR Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2019	J	`jnl`	Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Medical Imaging Mohammed Alawad, Linwei Wang
2019	J	`jnl`	Noninvasive Imaging of Epicardial and Endocardial Potentials With Low Rank and Sparsity Constraints. IEEE Trans. Biomed. Eng. Lin Fang, Jingjia Xu, Hongjie Hu, Yunmei Chen, Pengcheng Shi, Linwei Wang, Huafeng Liu
2019	J	`jnl`	Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error. IEEE Trans. Medical Imaging Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	J	`jnl`	Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. CoRR Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
2019	—	`conf`	Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. MICCAI (6) Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
2019	J	`jnl`	Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh
2018	—	`conf`	A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models. CinC Jaume Coll-Font, Linwei Wang, Dana H. Brooks
2018	J	`jnl`	Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. CoRR Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
2018	—	`conf`	Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential. CinC Sandesh Ghimire, Linwei Wang
2018	—	`conf`	Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. MICCAI (2) Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
2018	—	`conf`	High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. MICCAI (2) Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2018	J	`jnl`	Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential. CoRR Sandesh Ghimire, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
2018	—	`conf`	Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshops Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
2018	J	`jnl`	Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia. CoRR Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
2018	—	`conf`	Leveraging simulation data for learning a patient-specific model to localize the origin of ventricular activation. ISBI Mohammed Alawad, Linwei Wang
2018	—	`conf`	Noninvasive Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia: Association With Magnetic Resonance Scar Imaging. CinC Omar Gharbia, Susumu Tao, Albert C. Lardo, Henry R. Halperin, Linwei Wang
2018	J	`jnl`	Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology. Medical Image Anal. Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2018	—	`conf`	Seawater Antenna for High-Frequency Surface Wave Radar. CSPS (3) Linwei Wang, Changjun Yu, Haorong Wang
2018	—	`conf`	Sensing Behaviors of Students in Online vs. Face-to-Face Lecturing Contexts. PerCom Workshops Rebecca Medina, Daniel Carpenter, Joe Geigel, Reynold Bailey, Linwei Wang, Cecilia Ovesdotter Alm
2018	—	`conf`	The Effect of Ground Screen System on High-Frequency Surface Wave Radar Antenna Directivity. CSPS (2) Linwei Wang, Changjun Yu, Yi Huang
2017	—	`conf`	A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. MICCAI (2) Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang
2017	—	`conf`	Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier. CinC Erin Coppola, Prashnna K. Gyawali, Nihar Vanjara, Daniel Giaime, Linwei Wang
2017	—	`conf`	Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
2017	—	`conf`	Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang
2017	—	`conf`	Electrical and Anatomical Imaging of Arrhythmogenic Substrates for Scar-related Ventricular Tachycardia. CinC Omar Gharbia, Susumu Tao, Albert C. Lardo, Henry R. Halperin, Linwei Wang
2017	—	`conf`	Estimating of RCS of Ionosphere for High Frequency Surface Wave Radar. MLICOM (2) Xuguang Yang, Changjun Yu, Aijun Liu, Linwei Wang
2017	—	`conf`	L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal. CinC Sandesh Ghimire, Linwei Wang
2017	—	`conf`	Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC Jwala Dhamala, Jaume Coll-Font, Jess D. Tate, María de la Salud Guillem Sánchez, Dana H. Brooks, Linwei Wang, Rob S. MacLeod, Sandesh Ghimire
2017	—	`conf`	Parameters Estimation of Precession Cone Target Based on Micro-Doppler Spectrum. MLICOM (2) Mingfeng Wang, Aijun Liu, Linwei Wang, Changjun Yu
2017	—	`conf`	Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. IPMI Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2017	—	`conf`	Sensor-based Methodological Observations for Studying Online Learning. SmartLearn@IUI Ashley A. Edwards, Anthony Massicci, Srinivas Sridharan, Joe Geigel, Linwei Wang, Reynold J. Bailey, Cecilia Ovesdotter Alm
2017	J	`jnl`	Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology. IEEE Trans. Medical Imaging Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2016	J	`jnl`	Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach. IEEE Trans. Medical Imaging Azar Rahimi, John L. Sapp, Jingjia Xu, Peter Bajorski, Milan Horacek, Linwei Wang
2016	—	`conf`	Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia. CinC Linwei Wang, Omar Gharbia, Sandesh Ghimire, Milan Horacek, John L. Sapp
2016	—	`conf`	Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. MICCAI (3) Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2016	—	`conf`	The Consortium on Electrocardiographic Imaging. CinC 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
2015	—	`conf`	Evaluation of 2-norm versus Sparsity Regularization in Spline-Based Joint Reconstruction of Epicardial and Endocardial Potentials from Body-Surface Measurements. CinC Jaume Coll-Font, Brittany Purcell, Jingjia Xu, Petr Stovícek, Dana H. Brooks, Linwei Wang
2015	—	`conf`	Face-speech sensor fusion for non-invasive stress detection. AVSP Vasudev Bethamcherla, Will Paul, Cecilia Ovesdotter Alm, Reynold J. Bailey, Joe Geigel, Linwei Wang
2015	—	`conf`	Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG-Based Inference. MICCAI (2) Jingjia Xu, John L. Sapp, Azar Rahimi Dehaghani, Fei Gao, Milan Horacek, Linwei Wang
2015	J	`jnl`	Segmentation of Hematoxylin-Eosin stained breast cancer histopathological images based on pixel-wise SVM classifier. Sci. China Inf. Sci. Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu, Yan Li
2015	J	`jnl`	Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling. IEEE Trans. Biomed. Eng. Azar Rahimi, Linwei Wang
2015	A	`conf`	Stressed out: what speech tells us about stress. INTERSPEECH Will Paul, Cecilia Ovesdotter Alm, Reynold J. Bailey, Joe Geigel, Linwei Wang
2014	—	`conf`	Electrophysiological imaging of volumetric infarct border using a spatio-temporal LP-norm constraint. ISBI Azar Rahimi, Jingjia Xu, Linwei Wang
2014	—	`conf`	Hierarchical Multiple-Model Bayesian Approach to Transmural Electrophysiological Imaging. MICCAI (2) Azar Rahimi, Jingjia Xu, Linwei Wang
2014	J	`jnl`	Image-Based Computational Cardiology: From Data to Understanding. Comput. Math. Methods Medicine Linwei Wang, Vicky Y. Wang, Heye Zhang
2014	B	`conf`	Multiple-model Bayesian approach to volumetric imaging of cardiac current sources. ICIP Azar Rahimi, Jingjia Xu, Linwei Wang
2014	J	`jnl`	Noninvasive Transmural Electrophysiological Imaging Based on Minimization of Total-Variation Functional. IEEE Trans. Medical Imaging Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang
2014	A*	`conf`	Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium. CVPR Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang
2014	—	`conf`	Two-step segmentation of Hematoxylin-Eosin stained histopathological images for prognosis of breast cancer. BIBM Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu, Yan Li
2014	—	`conf`	Understanding embryonic heart morphogenesis through automatic segmentation and confocal imaging with optical clearing. ISBI Hongda Mao, Megan Gribble, Arkady M. Pertsov, Linwei Wang, Pengcheng Shi
2014	—	`conf`	Variational Bayesian Electrophysiological Imaging of Myocardial Infarction. MICCAI (2) Jingjia Xu, John L. Sapp, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang
2013	—	`conf`	A Novel Total Variation Based Noninvasive Transmural Electrophysiological Imaging. MICCAI (1) Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang
2013	J	`jnl`	Computational reduction for noninvasive transmural electrophysiological imaging. Comput. Biol. Medicine Linwei Wang
2013	J	`jnl`	L Comput. Math. Methods Medicine Azar Rahimi, Jingjia Xu, Linwei Wang
2013	—	`conf`	The impact of ventricular shape variations on inverse electrocardiography: A feasibility study. ISBI Azar Rahimi Dehaghani, Linwei Wang
2013	J	`jnl`	Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts. IEEE Trans. Medical Imaging Linwei Wang, Fady Dawoud, Sai Kit Yeung, Pengcheng Shi, Ken C. L. Wong, Huafeng Liu, Albert C. Lardo
2013	—	`conf`	Volumetric Imaging of Cardiac Current Sources using Lp-Norm Regularization. CinC Azar Rahimi, Jingjia Xu, John R. Fitz-Clarke, Linwei Wang
2012	—	`conf`	Integration of different cardiac electrophysiological models into a single simulation pipeline. ISBI 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
2012	—	`conf`	Localization of Sparse Transmural Excitation Stimuli from Surface Mapping. MICCAI (1) Jingjia Xu, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang
2012	—	`conf`	Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. MICCAI (1) Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, Pengcheng Shi
2012	—	`conf`	Towards integrated noninvasive personalization of cardiac electromechanics. ISBI Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2011	—	`conf`	A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints. MICCAI (1) Ken C. L. Wong, Linwei Wang, Huafeng Liu, Pengcheng Shi
2011	—	`conf`	Dynamic Classification of Cellular Transmural TransMembrane Potential (TMP) Activity of the Heart. FIMH Mohamed Elshrif, Linwei Wang, Pengcheng Shi
2011	J	`jnl`	Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct. IEEE Trans. Biomed. Eng. Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2011	J	`jnl`	Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery. IEEE Trans. Medical Imaging Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2011	—	`conf`	Toward Clinically-Feasible Noninvasive Electrophysiological Imaging: Investigating the Impact of Local Anatomical Details. STACOM Azar Rahimi, Hongda Mao, Pengcheng Shi, Linwei Wang
2011	—	`conf`	Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction. STACOM Linwei Wang, Fady Dawoud, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Albert C. Lardo, Pengcheng Shi
2011	—	`conf`	Volumetric Modeling Electromechanics of the Heart. STACOM Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2010	—	`conf`	A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data. STACOM/CESC Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2010	B	`conf`	Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery. ICIP Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
2010	—	`conf`	How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization. STACOM/CESC Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2010	J	`jnl`	Meshfree implementation of individualized active cardiac dynamics. Comput. Medical Imaging Graph. Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2010	—	`conf`	Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery. MICCAI (1) Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
2010	J	`jnl`	Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials. IEEE Trans. Biomed. Eng. Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	Misc	`conf`	A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity. ICASSP Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi
2009	—	`conf`	Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis. FIMH Ken C. L. Wong, Linwei Wang, Pengcheng Shi
2009	J	`jnl`	Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery. J. Signal Process. Syst. Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2009	—	`conf`	Electrocardiographic Simulation on Coupled Meshfree-BEM Platform. FIMH Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
2009	J	`jnl`	Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform. Int. J. Funct. Informatics Pers. Medicine Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	—	`conf`	Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction. MICCAI (1) Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	A*	`conf`	Noninvasive volumetric imaging of cardiac electrophysiology. CVPR Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	B	`conf`	Nonlinear cardiac deformation recovery from medical images. ICIP Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
2008	—	`conf`	Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. MIAR Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi
2008	B	`conf`	Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping. ICIP Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
2008	—	`conf`	Meshfree framework for image-derived modelling. ISBI Heye Zhang, Linwei Wang, Peter J. Hunter, Pengcheng Shi
2008	—	`conf`	Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction. MICCAI (1) Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
2008	—	`conf`	Simulation of Active Cardiac Electromechanical Dynamics. MIAR Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2007	—	`conf`	Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery. MICCAI (1) Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2007	—	`conf`	Joint Estimation for Nonlinear Dynamic System from FMRI Time Series. ICIP (3) Zhenghui Hu, Heye Zhang, Linwei Wang, Xiaolan Song, Pengcheng Shi
2007	—	`conf`	Noninvasive Imaging of 3d Cardiac Electrophysiology. ISBI Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2007	—	`conf`	Simulations of Cardiac Electrophysiological Activities Using a Heart-Torso Model. FIMH Heye Zhang, Linwei Wang, Pengcheng Shi
2007	—	`conf`	Towards Noninvasive 3D Imaging of Cardiac Arrhythmias. FIMH Linwei Wang, Heye Zhang, Pengcheng Shi
2006	—	`conf`	Imaging of 3D Cardiac Electrical Activity: A Model-Based Recovery Framework. MICCAI (1) Linwei Wang, Heye Zhang, Pengcheng Shi, Huafeng Liu