Screening prioritisation in medical systematic reviews aims to rank the set of documents
retrieved by complex Boolean queries. Prioritising the most important documents ensures …

Abstract Information retrieval algorithms have changed the way we manage and use various
data sources, such as images, music or multimedia collections. First, free text information of …

Computer-assisted image retrieval applications can assist radiologists by identifying similar
images in archives as a means to providing decision support. In the classical case, images …

This chapter describes several approaches for information fusion that have been used in
ImageCLEF over the past seven years. In this context, the fusion of information is mainly …

Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for
image queries with low percentages of relevant images in a collection. Moreover, CBIR …

Main goal of this work is to show the improvement of using a textual pre-filtering combined
with an image re-ranking in a Multimedia Information Retrieval task. The defined three step …

Medicine is a fast-moving field, and the number of medical publications has increased
rapidly over recent years. How to find relevant information from this vast pool of research …

This article presents the participation of the medGIFT groupin ImageCLEFmed 2013. Since
2004, the group has participated in themedical image retrieval tasks of ImageCLEF each …

Large-scale data management and retrieval in complex domains such as images, videos, or
biometrical data remains one of the most important and challenging information processing …

The retrieving method proposed in this paper utilizes the fusion of the images' multimodal
information (textual and visual) which is a recent trend in image retrieval researches. It …