Benchmarks and methods for 3D medical image retrieval.

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Bibliographic Details
Title: Benchmarks and methods for 3D medical image retrieval.
Authors: Ben Abacha A; Health and Life Sciences AI, Microsoft, Redmond, WA, USA. abenabacha@microsoft.com., Santamaría-Pang A; Health and Life Sciences AI, Microsoft, Redmond, WA, USA. alberto.santamariapang@microsoft.com.; Johns Hopkins School of Medicine, Baltimore, MD, USA. alberto.santamariapang@microsoft.com., Lee HH; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Merkow J; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Cai Q; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Devarakonda ST; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Islam A; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Gong J; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Lungren M; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Forghani R; AdventHealth Medical Group, Maitland, FL, USA., Jindal A; Johns Hopkins School of Medicine, Baltimore, MD, USA., Lin T; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Codella NCF; Health and Life Sciences AI, Microsoft, Redmond, WA, USA., Tarapov I; Health and Life Sciences AI, Microsoft, Redmond, WA, USA.
Source: Scientific reports [Sci Rep] 2026 Apr 06; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 06.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-38473-z