View in EDS HTML Full Text PDF Full Text

Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging.

Saved in:
Bibliographic Details
Title: Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging.
Authors: Heo T; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Lee NK; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea. leenk77@hanmail.net., Kim S; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Hong SB; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Suh DS; Department of Obstetrics and Gynecology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Kim JY; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Lee JW; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea., Kim TU; Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Source: Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Nov; Vol. 50 (11), pp. 5446-5456. Date of Electronic Publication: 2025 Apr 18.
Publication Type: Journal Article; Comparative Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40249551
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Heo+T%22">Heo T</searchLink>; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+NK%22">Lee NK</searchLink>; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea. leenk77@hanmail.net.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hong+SB%22">Hong SB</searchLink>; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Suh+DS%22">Suh DS</searchLink>; Department of Obstetrics and Gynecology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JY%22">Kim JY</searchLink>; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+JW%22">Lee JW</searchLink>; Department of Radiology, and Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+TU%22">Kim TU</searchLink>; Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101674571%22">Abdominal radiology (New York)</searchLink> [Abdom Radiol (NY)] 2025 Nov; Vol. 50 (11), pp. 5446-5456. <i>Date of Electronic Publication: </i>2025 Apr 18.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Comparative Study; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101674571 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2366-0058 (Electronic) <i>NLM ISO Abbreviation: </i>Abdom Radiol (NY) <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40249551
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00261-025-04955-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 5446
    Titles:
      – TitleFull: Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Heo T
      – PersonEntity:
          Name:
            NameFull: Lee NK
      – PersonEntity:
          Name:
            NameFull: Kim S
      – PersonEntity:
          Name:
            NameFull: Hong SB
      – PersonEntity:
          Name:
            NameFull: Suh DS
      – PersonEntity:
          Name:
            NameFull: Kim JY
      – PersonEntity:
          Name:
            NameFull: Lee JW
      – PersonEntity:
          Name:
            NameFull: Kim TU
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2366-0058
          Numbering:
            – Type: volume
              Value: 50
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Abdominal radiology (New York)
              Type: main
ResultId 1