High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model-Reference-Cited by-同舟云学术

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model

Published:2018 Issue: Volume: Page:499-507
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
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Author:

Dhamala Jwala,Ghimire Sandesh,Sapp John L.,Horáček B. Milan,Wang Linwei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00934-2_56

Reference11 articles.

1. Aliev, R.R., Panfilov, A.V.: A simple two-variable model of cardiac excitation. Chaos Solitons Fractals 7(3), 293–301 (1996)

2. Brochu, E., Cora, V.M., De Freitas, N.: A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599 (2010)

3. Chinchapatnam, P., Rhode, K.S., Ginks, M.: Model-based imaging of cardiac apparent conductivity and local conduction velocity for diagnosis and planning of therapy. IEEE Trans. Med. Imaging 27(11), 1631–1642 (2008)

4. Lecture Notes in Computer Science;J Dhamala,2016

5. Lecture Notes in Computer Science;V Garcia,2010

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