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Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps.

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Title: Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps.
Authors: Henze, Jasmin1, jasmin.henze@isst.fraunhofer.de, Fuentealba, Patricio2, Salvi, Rutuja3, Sahare, Natasha1, Bisgin, Pinar1, Burmann, Anja1, Illanes, Alfredo4, Friebe, Michael5,6
Source: Current Directions in Biomedical Engineering; Aug2022, Vol. 8 Issue 2, p540-543, 4p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158878177
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158878177
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      – Type: doi
        Value: 10.1515/cdbme-2022-1138
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 540
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      – TitleFull: Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps.
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            NameFull: Henze, Jasmin
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            NameFull: Bisgin, Pinar
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            NameFull: Burmann, Anja
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            – D: 01
              M: 08
              Text: Aug2022
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              Y: 2022
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            – TitleFull: Current Directions in Biomedical Engineering
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