Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition.
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| Title: | Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition. |
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| Authors: | Kim GY; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea., Yang HS; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea., Hwang J; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea., Lee K; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea., Choi JW; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea., Jung WS; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea., Kim REY; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea., Kim D; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea., Lee M; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea. minho.lee@neurophet.com. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Jun; Vol. 39 (3), pp. 2095-2109. Date of Electronic Publication: 2025 Aug 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40866763 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kim+GY%22">Kim GY</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yang+HS%22">Yang HS</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Hwang+J%22">Hwang J</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+K%22">Lee K</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+JW%22">Choi JW</searchLink>; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+WS%22">Jung WS</searchLink>; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+REY%22">Kim REY</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+D%22">Kim D</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+M%22">Lee M</searchLink>; Research Institute, Neurophet Inc., 12F, 124, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea. minho.lee@neurophet.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918663679206676%22">Journal of imaging informatics in medicine</searchLink> [J Imaging Inform Med] 2026 Jun; Vol. 39 (3), pp. 2095-2109. <i>Date of Electronic Publication: </i>2025 Aug 27. – 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="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9918663679206676 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2948-2933 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2229482925%22">29482925 </searchLink><i>NLM ISO Abbreviation: </i>J Imaging Inform Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40866763 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10278-025-01612-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2095 Titles: – TitleFull: Robust Quantification of Affected Brain Volume from Computed Tomography Perfusion: A Hybrid Approach Combining Deep Learning and Singular Value Decomposition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim GY – PersonEntity: Name: NameFull: Yang HS – PersonEntity: Name: NameFull: Hwang J – PersonEntity: Name: NameFull: Lee K – PersonEntity: Name: NameFull: Choi JW – PersonEntity: Name: NameFull: Jung WS – PersonEntity: Name: NameFull: Kim REY – PersonEntity: Name: NameFull: Kim D – PersonEntity: Name: NameFull: Lee M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2948-2933 Numbering: – Type: volume Value: 39 – Type: issue Value: 3 Titles: – TitleFull: Journal of imaging informatics in medicine Type: main |
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