Indocyanine green quantification in full robotic esophagectomy using an unsupervised learning approach.
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| Title: | Indocyanine green quantification in full robotic esophagectomy using an unsupervised learning approach. |
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| Authors: | Pollmann L; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany., Weberskirch S; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany., Petry M; ITK Engineering AG, Rülzheim, Germany., Kubasch S; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany., Pollmann NS; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany., Bormann E; Institute of Biometry and Clinical Research, University Muenster, Muenster, Germany., Pascher A; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany., Juratli M; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany. Electronic address: https://twitter.com/mjuratli., Hölzen JP; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany. Electronic address: Jenspeter.Hoelzen@ukmuenster.de. |
| Source: | Surgery [Surgery] 2025 Aug; Vol. 184, pp. 109405. Date of Electronic Publication: 2025 May 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Mosby Country of Publication: United States NLM ID: 0417347 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-7361 (Electronic) Linking ISSN: 00396060 NLM ISO Abbreviation: Surgery Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40412167 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Indocyanine green quantification in full robotic esophagectomy using an unsupervised learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pollmann+L%22">Pollmann L</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany.<br /><searchLink fieldCode="AU" term="%22Weberskirch+S%22">Weberskirch S</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany.<br /><searchLink fieldCode="AU" term="%22Petry+M%22">Petry M</searchLink>; ITK Engineering AG, Rülzheim, Germany.<br /><searchLink fieldCode="AU" term="%22Kubasch+S%22">Kubasch S</searchLink>; Department of Clinical Radiology, University Hospital Muenster, Muenster, Germany.<br /><searchLink fieldCode="AU" term="%22Pollmann+NS%22">Pollmann NS</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany.<br /><searchLink fieldCode="AU" term="%22Bormann+E%22">Bormann E</searchLink>; Institute of Biometry and Clinical Research, University Muenster, Muenster, Germany.<br /><searchLink fieldCode="AU" term="%22Pascher+A%22">Pascher A</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany.<br /><searchLink fieldCode="AU" term="%22Juratli+M%22">Juratli M</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany. Electronic address: https://twitter.com/mjuratli.<br /><searchLink fieldCode="AU" term="%22Hölzen+JP%22">Hölzen JP</searchLink>; Department of General, Visceral and Transplant Surgery, University Hospital Muenster, Muenster, Germany. Electronic address: Jenspeter.Hoelzen@ukmuenster.de. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220417347%22">Surgery</searchLink> [Surgery] 2025 Aug; Vol. 184, pp. 109405. <i>Date of Electronic Publication: </i>2025 May 23. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Mosby%22">Mosby </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0417347 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-7361 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200396060%22">00396060 </searchLink><i>NLM ISO Abbreviation: </i>Surgery <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40412167 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.surg.2025.109405 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 109405 Titles: – TitleFull: Indocyanine green quantification in full robotic esophagectomy using an unsupervised learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pollmann L – PersonEntity: Name: NameFull: Weberskirch S – PersonEntity: Name: NameFull: Petry M – PersonEntity: Name: NameFull: Kubasch S – PersonEntity: Name: NameFull: Pollmann NS – PersonEntity: Name: NameFull: Bormann E – PersonEntity: Name: NameFull: Pascher A – PersonEntity: Name: NameFull: Juratli M – PersonEntity: Name: NameFull: Hölzen JP IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2025 Aug Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1532-7361 Numbering: – Type: volume Value: 184 Titles: – TitleFull: Surgery Type: main |
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