ArticleJournal of digital imaging2017
A Multimodal Search Engine for Medical Imaging Studies.
Article in Journal of digital imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- A Two-Stage Proactive Dialogue Generator for Efficient Clinical Information Collection Using Large Language Model.Expert systems with applications · 2025Article
- A Data Ingestion Procedure towards a Medical Images Repository.Sensors (Basel, Switzerland) · 2024Article
- Dicoogle Open Source: The Establishment of a New Paradigm in Medical Imaging.Journal of medical systems · 2022Review
- Nursing Analysis Based on Medical Imaging Technology before and after Coronary Angiography in Cardiovascular Medicine.Applied bionics and biomechanics · 2022Article
- A Cloud-Ready Architecture for Shared Medical Imaging Repository.Journal of digital imaging · 2020Article
- Automated Anatomic Labeling Architecture for Content Discovery in Medical Imaging Repositories.Journal of medical systems · 2018Article
- Medical Image Retrieval Using Multi-Texton Assignment.Journal of digital imaging · 2018Article
- Brain MRI Pattern Recognition Translated to Clinical Scenarios.Frontiers in neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of digital medical imaging systems in healthcare institutions has increased significantly, and the large amounts of data in these systems have led to the conception of powerful support tools: recent studies on content-based image retrieval (CBIR) and multimodal information retrieval in the field hold great potential in decision support, as well as for addressing multiple challenges in healthcare systems, such as computer-aided diagnosis (CAD). However, the subject is still under heavy research, and very few solutions have become part of Picture Archiving and Communication Systems (PACS) in hospitals and clinics. This paper proposes an extensible platform for multimodal medical image retrieval, integrated in an open-source PACS software with profile-based CBIR capabilities. In this article, we detail a technical approach to the problem by describing its main architecture and each sub-component, as well as the available web interfaces and the multimodal query techniques applied. Finally, we assess our implementation of the engine with computational performance benchmarks.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.