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Ricky K. Taira
Researcher at University of California, Los Angeles
Publications - 170
Citations - 3222
Ricky K. Taira is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Picture archiving and communication system & Image retrieval. The author has an hindex of 29, co-authored 169 publications receiving 3105 citations. Previous affiliations of Ricky K. Taira include Boston Children's Hospital & University of California, Berkeley.
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Journal ArticleDOI
MR evaluation of early myelination patterns in normal and developmentally delayed infants.
Rosalind B. Dietrich,William G. Bradley,Zaragoza Ej th,Ronald J. Otto,Ricky K. Taira,Gabriel Wilson,Hooshang Kangarloo +6 more
TL;DR: In this article, the ability of MR imaging to show progression of myelination in 64 infants and young children (ages 4 days to 36 months) was demonstrated using T2-weighted spin-echo pulse sequences, frequently used for routine screening of intracranial disease.
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Knowledge-based image retrieval with spatial and temporal constructs
TL;DR: A knowledge-based approach to retrieve medical images by feature and content with spatial and temporal constructs is developed and the KMeD (Knowledge-based Medical Database) system is implemented using these concepts.
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Automatic Structuring of Radiology Free-Text Reports
TL;DR: A natural language processor was developed that automatically structures the important medical information contained in a radiology free-text document as a formal information model that can be interpreted by a computer program.
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The knowledge-based object-oriented PICQUERY/sup +/ language
TL;DR: The PICQUERY/sup +/ language and its underlying stacked image data model are enhanced with major advances that include convenient specification of the data domain space among a multimedia database federation, visualization of underlying data models, knowledge-based hierarchies, and domain rules.
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A knowledge-based approach for retrieving images by content
TL;DR: A knowledge based approach for retrieving images by content supports the answering of conceptual image queries involving similar-to predicates, spatial semantic operators, and references to conceptual terms.