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YIF specifications


Unique identifier OMICS_12913
Name YIF
Alternative name Yale Image Finder
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Maintained Yes


  • person_outline Michael Krauthammer

Publication for Yale Image Finder

YIF citations


SciRide Finder: a citation based paradigm in biomedical literature search

Sci Rep
PMCID: 5906646
PMID: 29670147
DOI: 10.1038/s41598-018-24571-0

[…] typical literature search engines operate on the remit of copyright-available titles and abstracts alone, whereas full text contains more pertinent information. For instance, tools such as Biotext or Yale Image Finder allow searches in Figure or Table captions alone in order to identify relevant information only,. To understand what information is potentially irrelevant, it is necessary to identif […]


Mining images in biomedical publications: Detection and analysis of gel diagrams

J Biomed Semantics
PMCID: 4190668
PMID: 24568573
DOI: 10.1186/2041-1480-5-10

[…] s that not just the abstracts but the complete texts including images are available for data analysis. Among other things, this enabled the development of query engines for biomedical images like the Yale Image Finder [] and the BioText Search Engine []. Below, we present our approach to detect and access gel diagrams. This is an extended version of a previous workshop paper [].As a preparatory ev […]


PubMed and beyond: a survey of web tools for searching biomedical literature

PMCID: 3025693
PMID: 21245076
DOI: 10.1093/database/baq036

[…] and operate on equivalent or similar content as PubMed. Systems that are designed to search beyond abstract, such as full text (e.g. PubMed Central; Google Scholar) or figure/tables [e.g. BioText (); Yale image finder ()] are thus not included for consideration in this work. Moreover, we focus on tools developed specifically for the biomedical domain. Hence, some general Web-based services such as […]


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YIF institution(s)
Department of Computer Science, Yale University, New Haven, CT, USA; Department of Pathology and Yale Center for Medical Informatics, New Haven, CT, USA
YIF funding source(s)
This research has been funded by NLM grant 5K22LM009255.

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