Deep learning models built from PSMA PET of the primary tumor can predict synchronous and metachronous prostate cancer metastases.
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| Title: | Deep learning models built from PSMA PET of the primary tumor can predict synchronous and metachronous prostate cancer metastases. |
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| Authors: | Juarez Casillas, Jesus E.1 (AUTHOR), Nezafat, Maryam2 (AUTHOR), Benitez, Cecil M.1 (AUTHOR), Rzechowski, Kamil2 (AUTHOR), Kane, Nathanael1,3 (AUTHOR), Sjöstrand, Karl2 (AUTHOR), Anand, Aseem2 (AUTHOR), Sonni, Ida3,4 (AUTHOR), Berenji, Gholam R.3 (AUTHOR), Duriseti, Sai1,3 (AUTHOR), Rettig, Matthew B.5,6,7 (AUTHOR), Nickols, Nicholas G.1,3,7 (AUTHOR) nicholas.nickols@va.gov |
| Source: | PLoS ONE. 6/5/2026, Vol. 21 Issue 6, p1-9. 9p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194373215 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194373215 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0349825 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Titles: – TitleFull: Deep learning models built from PSMA PET of the primary tumor can predict synchronous and metachronous prostate cancer metastases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Juarez Casillas, Jesus E. – PersonEntity: Name: NameFull: Nezafat, Maryam – PersonEntity: Name: NameFull: Benitez, Cecil M. – PersonEntity: Name: NameFull: Rzechowski, Kamil – PersonEntity: Name: NameFull: Kane, Nathanael – PersonEntity: Name: NameFull: Sjöstrand, Karl – PersonEntity: Name: NameFull: Anand, Aseem – PersonEntity: Name: NameFull: Sonni, Ida – PersonEntity: Name: NameFull: Berenji, Gholam R. – PersonEntity: Name: NameFull: Duriseti, Sai – PersonEntity: Name: NameFull: Rettig, Matthew B. – PersonEntity: Name: NameFull: Nickols, Nicholas G. IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 06 Text: 6/5/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 21 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
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