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10/13/2021
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning
Probabilistic estimation of cardiac electrophysiological model parameter...
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06/02/2020
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models
Estimation of patient-specific model parameters is important for persona...
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05/15/2020
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
The estimation of patient-specific tissue properties in the form of mode...
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09/03/2019
Improving Disentangled Representation Learning with the Beta Bernoulli Process
To improve the ability of VAE to disentangle in the latent space, existi...
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07/01/2019
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
Personalization of cardiac models involves the optimization of organ tis...
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05/12/2019
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
Noninvasive reconstruction of cardiac transmembrane potential (TMP) from...
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10/31/2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors
While deep representation learning has become increasingly capable of se...
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08/04/2018