Differentiating Phenotypes of Coronavirus Disease-2019 Pneumonia by Electric Impedance Tomography
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: Frontiers in Medicine 9.2022, May, 747570
- Event
-
Veröffentlichung
- (where)
-
Furtwangen
- (who)
-
Hochschule Furtwangen
- (when)
-
2022
- Creator
-
Lovas, Andras
Chen, Rongqing
Molnar, Tamas
Benyo, Balazs
Szlavecz, Akos
Hawchar, Fatime
Krüger-Ziolek, Sabine
Möller, Knut
- DOI
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10.3389/fmed.2022.747570
- URN
-
urn:nbn:de:bsz:fn1-opus4-85583
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lovas, Andras
- Chen, Rongqing
- Molnar, Tamas
- Benyo, Balazs
- Szlavecz, Akos
- Hawchar, Fatime
- Krüger-Ziolek, Sabine
- Möller, Knut
- Hochschule Furtwangen
Time of origin
- 2022
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Electrical Impedance Tomography might be a Practical Tool to Provide Information about COVID-19 Pneumonia Progression
Detection of Outdated Structural Priors in the Discrete Cosine Transformation-based Electrical Impedance Tomography Algorithm
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Signal separation in electrical impedance tomography: Applying harmonic analysis on simulated voltage data
Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
Effect of the number of electrodes on the reconstructed lung shape in electrical impedance tomography
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Detection of Different COVID-19 Pneumonia Phenotypes with Estimated Alveolar Collapse and Overdistention by Bedside Electrical Impedance Tomography
Electrical Impedance Tomography might be a Practical Tool to Provide Information about COVID-19 Pneumonia Progression
Detection of Outdated Structural Priors in the Discrete Cosine Transformation-based Electrical Impedance Tomography Algorithm
Reconstruction of conductivity change in lung lobes utilizing electrical impedance tomography
Signal separation in electrical impedance tomography: Applying harmonic analysis on simulated voltage data
Impact of lung volume changes on perfusion estimates derived by Electrical Impedance Tomography
Effect of the number of electrodes on the reconstructed lung shape in electrical impedance tomography
Generating adversarial images to monitor the training state of a CNN model
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Generate adversarial images with gradient search
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