On the Diagnosis of Aortic Dissection with Impedance Cardiography: A Bayesian Feasibility Study Framework with Multi-Fidelity Simulation Data

Sascha Ranftl; Gian Marco Melito; Vahid Badeli; Alice Reinbacher-Köstinger; Katrin Ellermann; Wolfgang von der Linden

doi:10.3390/proceedings2019033024

On the Diagnosis of Aortic Dissection with Impedance Cardiography: A Bayesian Feasibility Study Framework with Multi-Fidelity Simulation Data

Sascha Ranftl, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann, Wolfgang von der Linden

Publikation: Beitrag in einer Fachzeitschrift › Artikel › Begutachtung

Originalsprache	undefiniert/unbekannt
Fachzeitschrift	Proceedings MDPI AG
DOIs	https://doi.org/10.3390/proceedings2019033024
Publikationsstatus	Veröffentlicht - Dez. 2019

Zugriff auf Dokument

10.3390/proceedings2019033024

Andere Dateien und Links

https://www.mdpi.com/2504-3900/33/1/24

Dieses zitieren

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title = "On the Diagnosis of Aortic Dissection with Impedance Cardiography: A Bayesian Feasibility Study Framework with Multi-Fidelity Simulation Data",

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year = "2019",

month = dec,

doi = "10.3390/proceedings2019033024",

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journal = "Proceedings MDPI AG",

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AU - Ranftl, Sascha

AU - Melito, Gian Marco

AU - Badeli, Vahid

AU - Reinbacher-Köstinger, Alice

AU - Ellermann, Katrin

AU - Linden, Wolfgang von der

PY - 2019/12

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DO - 10.3390/proceedings2019033024

M3 - Artikel

SN - 2504-3900

JO - Proceedings MDPI AG

JF - Proceedings MDPI AG

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