View in EDS

SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition.

Saved in:
Bibliographic Details
Title: SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition.
Authors: Wijekoon A; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom. Electronic address: a.wijekoon@ucl.ac.uk., Das A; UCL Hawkes Institute, University College London, London, United Kingdom., Mao Z; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom., Khan DZ; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom., Hanrahan JG; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom., Stoyanov D; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom., Marcus HJ; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom., Bano S; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom.
Source: Artificial intelligence in medicine [Artif Intell Med] 2026 Feb; Vol. 172, pp. 103309. Date of Electronic Publication: 2025 Nov 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41330256
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wijekoon+A%22">Wijekoon A</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom. Electronic address: a.wijekoon@ucl.ac.uk.<br /><searchLink fieldCode="AU" term="%22Das+A%22">Das A</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Mao+Z%22">Mao Z</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Khan+DZ%22">Khan DZ</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Hanrahan+JG%22">Hanrahan JG</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Stoyanov+D%22">Stoyanov D</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Marcus+HJ%22">Marcus HJ</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Bano+S%22">Bano S</searchLink>; UCL Hawkes Institute, University College London, London, United Kingdom; Department of Computer Science, University College London, London, United Kingdom.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228915031%22">Artificial intelligence in medicine</searchLink> [Artif Intell Med] 2026 Feb; Vol. 172, pp. 103309. <i>Date of Electronic Publication: </i>2025 Nov 26.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Publishing%22">Elsevier Science Publishing </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8915031 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2860 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209333657%22">09333657 </searchLink><i>NLM ISO Abbreviation: </i>Artif Intell Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41330256
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.artmed.2025.103309
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 103309
    Titles:
      – TitleFull: SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wijekoon A
      – PersonEntity:
          Name:
            NameFull: Das A
      – PersonEntity:
          Name:
            NameFull: Mao Z
      – PersonEntity:
          Name:
            NameFull: Khan DZ
      – PersonEntity:
          Name:
            NameFull: Hanrahan JG
      – PersonEntity:
          Name:
            NameFull: Stoyanov D
      – PersonEntity:
          Name:
            NameFull: Marcus HJ
      – PersonEntity:
          Name:
            NameFull: Bano S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2026 Feb
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1873-2860
          Numbering:
            – Type: volume
              Value: 172
          Titles:
            – TitleFull: Artificial intelligence in medicine
              Type: main
ResultId 1