Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI.
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| Title: | Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI. |
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| Authors: | Modanwal G; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322., Kumar S; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322., Viswanathan V; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322., Morin CE; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio., Rees MA; Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio., Squires JH; Department of Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa., Tang ER; Department of Radiology, Children's Hospital of Colorado, Aurora, Colo., Katzenstein HM; Nemours Children's Hospital, Wilmington, Del., Towbin AJ; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio., Madabhushi A; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322.; Atlanta Veterans Administration Medical Center, Atlanta, Ga., Schooler GR; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio. |
| Source: | Radiology. Imaging cancer [Radiol Imaging Cancer] 2026 Mar; Vol. 8 (2), pp. e250041. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101765309 Publication Model: Print Cited Medium: Internet ISSN: 2638-616X (Electronic) Linking ISSN: 2638616X NLM ISO Abbreviation: Radiol Imaging Cancer Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41718532 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Modanwal+G%22">Modanwal G</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322.<br /><searchLink fieldCode="AU" term="%22Kumar+S%22">Kumar S</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322.<br /><searchLink fieldCode="AU" term="%22Viswanathan+V%22">Viswanathan V</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322.<br /><searchLink fieldCode="AU" term="%22Morin+CE%22">Morin CE</searchLink>; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio.<br /><searchLink fieldCode="AU" term="%22Rees+MA%22">Rees MA</searchLink>; Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio.<br /><searchLink fieldCode="AU" term="%22Squires+JH%22">Squires JH</searchLink>; Department of Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pa.<br /><searchLink fieldCode="AU" term="%22Tang+ER%22">Tang ER</searchLink>; Department of Radiology, Children's Hospital of Colorado, Aurora, Colo.<br /><searchLink fieldCode="AU" term="%22Katzenstein+HM%22">Katzenstein HM</searchLink>; Nemours Children's Hospital, Wilmington, Del.<br /><searchLink fieldCode="AU" term="%22Towbin+AJ%22">Towbin AJ</searchLink>; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio.<br /><searchLink fieldCode="AU" term="%22Madabhushi+A%22">Madabhushi A</searchLink>; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Health Sciences Research Building II, 1750 Haygood Dr, Ste N647, Atlanta, GA 30322.; Atlanta Veterans Administration Medical Center, Atlanta, Ga.<br /><searchLink fieldCode="AU" term="%22Schooler+GR%22">Schooler GR</searchLink>; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio.; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101765309%22">Radiology. Imaging cancer</searchLink> [Radiol Imaging Cancer] 2026 Mar; Vol. 8 (2), pp. e250041. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%2C+Inc%22">Radiological Society of North America, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101765309 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2638-616X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222638616X%22">2638616X </searchLink><i>NLM ISO Abbreviation: </i>Radiol Imaging Cancer <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41718532 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1148/rycan.250041 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e250041 Titles: – TitleFull: Pediatric Personalized Deep Learning Models for Segmentation of Hepatoblastoma at CT and MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Modanwal G – PersonEntity: Name: NameFull: Kumar S – PersonEntity: Name: NameFull: Viswanathan V – PersonEntity: Name: NameFull: Morin CE – PersonEntity: Name: NameFull: Rees MA – PersonEntity: Name: NameFull: Squires JH – PersonEntity: Name: NameFull: Tang ER – PersonEntity: Name: NameFull: Katzenstein HM – PersonEntity: Name: NameFull: Towbin AJ – PersonEntity: Name: NameFull: Madabhushi A – PersonEntity: Name: NameFull: Schooler GR IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2638-616X Numbering: – Type: volume Value: 8 – Type: issue Value: 2 Titles: – TitleFull: Radiology. Imaging cancer Type: main |
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