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Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature.

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Title: Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature.
Authors: Wang, Dehua1 (AUTHOR), Jasim Taher, Hayder2 (AUTHOR) haiderdr75@gmail.com, Al-Fatlawi, Murtadha3,4 (AUTHOR), Abdullah, Badr Ahmed5 (AUTHOR), Khayatovna Ismailova, Munojat6 (AUTHOR), Abedi-Firouzjah, Razzagh7 (AUTHOR)
Source: Journal of X-Ray Science & Technology. 2024, Vol. 32 Issue 3, p735-749. 15p.
Database: Academic Search Ultimate
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  Data: Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+X-Ray+Science+%26+Technology%22">Journal of X-Ray Science & Technology</searchLink>. 2024, Vol. 32 Issue 3, p735-749. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=177635005
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/XST-230307
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 735
    Titles:
      – TitleFull: Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature.
        Type: main
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            NameFull: Wang, Dehua
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            NameFull: Jasim Taher, Hayder
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            NameFull: Al-Fatlawi, Murtadha
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            NameFull: Abdullah, Badr Ahmed
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            NameFull: Khayatovna Ismailova, Munojat
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            NameFull: Abedi-Firouzjah, Razzagh
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            – D: 01
              M: 05
              Text: 2024
              Type: published
              Y: 2024
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              Value: 32
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            – TitleFull: Journal of X-Ray Science & Technology
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