Imperial College London

ProfessorPayamBarnaghi

Faculty of MedicineDepartment of Brain Sciences

Chair in Machine Intelligence Applied to Medicine
 
 
 
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Contact

 

p.barnaghi Website

 
 
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Location

 

Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Publication Type
Year
to

165 results found

, 2009, Smart Sensing and Context, Publisher: Springer Berlin Heidelberg, ISBN: 9783642044700

Book

Wei W, Barnaghi PM, Bargiela A, 2008, Knowledge Acquisition for Semantic Search Systems, International Symposium on Information Technology, Publisher: IEEE, Pages: 1157-1162

Conference paper

Lee JR, Barnaghi PM, 2007, Semantic media in medical information systems, Pages: 27-31

The Content-based Image Retrieval (CBIR) methods have been applied to medical field to aid diagnosis and other medical processes for a relatively long time. This type of systems, with the growth of digital medical image databases, sometimes does not provide information tailored to the end user requirements. Typically there is a semantic gap between the low-level features extracted form the images and high-level concepts required by the user. This paper proposes an ontology-based search and retrieval as a supplementary method to associate high-level concepts and semantics to medical image data and exploit these semantic media for information search and retrieval. The main goal is to perform a search on a medical image repository and to retrieve relevant medical images and information to a particular case in order to assist diagnosis process. We demonstrate the functionality of the system in case of a mammography imaging database. The system uses an ontology-based search and retrieval for the medical data as a complementary solution to provide more efficient and insight access to the stored data. © 2007 IEEE.

Conference paper

Barnaghi PM, Kareem SA, 2007, A context-aware ranking method for the complex relationships on the semantic web, 6th International Conference on Advanced Language Processing and Web Information Technology, Publisher: IEEE COMPUTER SOC, Pages: 129-134

Conference paper

Wei W, Barnaghi PM, 2007, Semantic support for medical image search and retrieval, 5th IASTED International Conference on Biomedical Engineering, Publisher: ACTA PRESS ANAHEIM, Pages: 315-319

Conference paper

Wei W, Barnaghi PM, Bargiela A, 2007, Semantic-enhanced information search and retrieval, 6th International Conference on Advanced Language Processing and Web Information Technology, Publisher: IEEE COMPUTER SOC, Pages: 218-+

Conference paper

Ren LJ, Barnaghi PM, 2007, Semantic media in medical information systems, 2nd International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007), Publisher: IEEE COMPUTER SOC, Pages: 27-31

Conference paper

Kurian JC, Barnaghi PM, Hartley MI, 2006, Semantics-based dynamic hypermedia adaptation using the hidden Markov model, ISSN: 1613-0073

Information collection, selection, structuring, and presentation design are the core considerations for general hypermedia presentation generation systems. The content collection process can be enhanced by retrieving semantically related information objects, relevant to the topic selected by an author. Once relevant information objects are available, the content selection process suggests semantically related resources for the author's selection based on data usage history. The information objects are represented by media assets and descriptive documents. The semantic web technology that allows resource interoperability can be used for content description and interpretation of these information objects. By utilizing a semiautomatic approach, authors can be assisted at different stages of the presentation generation process. In this research, adaptation constraints are established independent of the author's proficiency (i.e. novice, intermediate or expert) by applying the Hidden Markov Model methodology. Semantically related media objects are suggested to authors for selection based on their interactive behaviour and the strength of semantic relations. The paper describes an application of the Hidden Markov Model in the initial authoring phases of semiautomatic hypermedia presentation systems.

Conference paper

Barnaghi PM, Abdul Kareem S, 2006, A flexible architecture for semantic annotation and automated multimedia presentation generation, ISSN: 1613-0073

Multimedia information system design has been recently influenced by state-of-the-art technologies such as those provided by semantic web. This paper introduces an information search and retrieval methodology that employs semantic web technologies for its data representation and reasoning tasks. Creating a meaningful multimedia presentation is an attempt to answer a user's query using a knowledge representation structure. In this case, the system instead of providing a list of results, as happens in many typical information search and retrieval systems, collects a list of selected items based on the relevancy to the queried topic and also meaningful relationships between data objects. The collected information is used for the construction of an automated presentation to demonstrate the results to the user. The paper concentrates in particular on the content selection, narration structuring, and presentation design and generation processes. The implementation of an automatic presentation generation facility in an integrated system, called MANA, is described through the paper. MANA is designed to generate adaptive and automatic presentations based on users' perspectives and preferences on the queried topic.

Conference paper

Kurian JC, Barnaghi PM, Hartley MI, 2006, User mediated dynamic grouping technique for presentation regeneration using the semantic web framework, Pages: 43-47

Abstract - Multimedia documents are encompassed with rich expressive capabilities due to integration of different forms of continuous and non-continuous media objects. These media assets can easily win author's attention in a multimedia presentation. Multimedia authoring involves collecting relevant multimedia objects, structuring retrieved objects, and presenting information objects in a coherent way that would be meaningful to the author. The semantic web technology offers a promising approach for modeling knowledge associated with information objects, available as media assets and descriptive documents. The semi-automatic approach facilitates the author to browse, select, and arrange semantically relevant content appropriate for her/his presentation in the semantic web framework. A discourse model assists the presentation generation process by narratively structuring presentation contents that involves discussion of a subject with a theme. The paper describes an application of Agglomerative clustering that provides structures for simple interactive selection and rapid non-linear expansion of the author preferred subject in the context of hypermedia presentation regeneration.

Conference paper

Barnaghi PM, Kareem SA, 2006, Ontology-based multimedia presentation generation, IEEE Region 10 Conference (TENCON 2005), Publisher: IEEE, Pages: 1313-1317, ISSN: 2159-3442

Conference paper

Liong SS, Barnaghi PM, 2006, Bluetooth network security: A new approach to secure scatternet formation, IEEE Region 10 Conference (TENCON 2005), Publisher: IEEE, Pages: 1543-1548, ISSN: 2159-3442

Conference paper

Kurian JC, Barnaghi PM, Hartley MI, 2006, User mediated hypermedia presentation generation on the semantic web framework, 16th International Conference on Artificial Reality and Telexistence, Publisher: SPRINGER-VERLAG BERLIN, Pages: 901-+, ISSN: 0302-9743

Conference paper

Barnaghi PM, Kareem SA, 2004, Content-based hypermedia presentation generation: A proposed framework, IEEE Region 10 Conference on Analog and Digital Techniques in Electrical Engineering, Publisher: IEEE, Pages: B274-B277, ISSN: 2159-3442

Conference paper

Li H, Enshaeifar S, Skillman S, Markides A, Kenny M, Sharp D, Rostill H, Nilforooshan R, Barnaghi Pet al., A Semi-Supervised Machine Learning Model for Risk Analysis of Urinary Tract Infections in People with Dementia

Journal article

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