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10/06/2022
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning
Clinical adoption of personalized virtual heart simulations faces challe...
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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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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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03/05/2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences
Deep learning networks have shown state-of-the-art performance in many i...
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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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10/12/2018
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential
Deep learning models have shown state-of-the-art performance in many inv...
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08/04/2018