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Receptive field block–enhanced 2D super-resolution network for precise brain surgical image reconstruction.

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Title: Receptive field block–enhanced 2D super-resolution network for precise brain surgical image reconstruction.
Authors: Sikkandar, Mohamed Yacin1, m.sikkandar@mu.edu.sa, Basaqer, Anas Tariq1, AlMohimeed, Ibrahim1, Begum S, Sabarunisha2, Alawaji, Zeyad3, Alanazi, Ahmed Bakhit4, Alkhatlan, Nasser Mohammed4
Source: Innovation & Emerging Technologies; 2026, Vol. 13, p1-16, 16p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191357346
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191357346
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1142/S2737599426500015
    Languages:
      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1
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      – TitleFull: Receptive field block–enhanced 2D super-resolution network for precise brain surgical image reconstruction.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Sikkandar, Mohamed Yacin
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            NameFull: Basaqer, Anas Tariq
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            NameFull: AlMohimeed, Ibrahim
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            NameFull: Begum S, Sabarunisha
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            NameFull: Alawaji, Zeyad
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            NameFull: Alanazi, Ahmed Bakhit
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            NameFull: Alkhatlan, Nasser Mohammed
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          Dates:
            – D: 01
              M: 01
              Text: 2026
              Type: published
              Y: 2026
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              Value: 13
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            – TitleFull: Innovation & Emerging Technologies
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