John L. Sapp

Orcid: 0000-0002-9602-2751

According to our database1, John L. Sapp authored at least 33 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Feasibility of ECGI Endocardial Solutions in Localizing the VT Reentrant Circuit.
Proceedings of the Computing in Cardiology, 2023

2022
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data.
IEEE Trans. Biomed. Eng., 2022

Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning.
CoRR, 2021

Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.
IEEE Trans. Biomed. Eng., 2020

Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models.
Medical Image Anal., 2020

A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms.
Comput. Biol. Medicine, 2020

2019
Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error.
IEEE Trans. Medical Imaging, 2019

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., 2019

Localization of Activation Origin on Patient-Specific Epicardial Surface by Empirical Bayesian Method.
IEEE Trans. Biomed. Eng., 2019

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences.
Proceedings of the Information Processing in Medical Imaging, 2019

Improving Disentangled Representation Learning with the Beta Bernoulli Process.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
Medical Image Anal., 2018

Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors.
CoRR, 2018

Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential.
CoRR, 2018

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

An algorithm for imaging isochrones of ventricular activation on patient-specific epicardial surface.
Proceedings of the Computing in Cardiology, 2018

Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology.
IEEE Trans. Medical Imaging, 2017

A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models.
Proceedings of the Information Processing in Medical Imaging, 2017

Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram.
Proceedings of the Computing in Cardiology, 2017

2016
Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach.
IEEE Trans. Medical Imaging, 2016

Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG-Based Inference.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Validation of the Vessel-Specific Leads (VSLs) for Acute Ischemia Detection on a Dataset with Non- Ischemic ST-Segment Deviation.
Proceedings of the Computing in Cardiology, 2015

2014
Variational Bayesian Electrophysiological Imaging of Myocardial Infarction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Non-Invasive Epicardial Imaging of Human Ventricular Fibrillation.
Proceedings of the Computing in Cardiology, 2013


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