John L. Sapp

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Parameter Estimation

Markov Chain Monte Carlo

Top Venues

IEEE Trans. Medical Imaging

Publications

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) (2024)
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)
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)
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 (2022)
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) (2022)
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)
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 (2021)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
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 (2020)
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) (2019)
Shijie Zhou, John L. Sapp, Petr Stovícek, B. Milan Horácek
Localization of Activation Origin on Patient-Specific Endocardial Surface by the Equivalent Double Layer (EDL) Source Model With Sparse Bayesian Learning. IEEE Trans. Biomed. Eng. 66 (8) (2019)
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 (2019)
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 (2019)
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 (2019)
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)
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 (2019)
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)
Shijie Zhou, John L. Sapp, Fady Dawoud, B. Milan Horácek
Localization of Activation Origin on Patient-Specific Epicardial Surface by Empirical Bayesian Method. IEEE Trans. Biomed. Eng. 66 (5) (2019)
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)
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)
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)
Shijie Zhou, John L. Sapp, Amir AbdelWahab, Milan Horacek
An algorithm for imaging isochrones of ventricular activation on patient-specific epicardial surface. CinC (2018)
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 (2018)
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 (2018)
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 (2018)
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 (2018)
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)
Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. MICCAI (2) (2017)
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)
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)
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) (2017)
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)
Linwei Wang, Omar Gharbia, Sandesh Ghimire, Milan Horacek, John L. Sapp
Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia. CinC (2016)
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) (2016)
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)
John Wang, Olle Pahlm, Galen Wagner, James Warren, Milan Horacek, John L. Sapp
Validation of the Vessel-Specific Leads (VSLs) for Acute Ischemia Detection on a Dataset with Non- Ischemic ST-Segment Deviation. CinC (2015)
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)
Jingjia Xu, John L. Sapp, Azar Rahimi Dehaghani, Fei Gao, Linwei Wang
Variational Bayesian Electrophysiological Imaging of Myocardial Infarction. MICCAI (2) (2014)
John R. Fitz-Clarke, John L. Sapp, B. Milan Horácek
Non-Invasive Epicardial Imaging of Human Ventricular Fibrillation. CinC (2013)