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JCR Impact Factor: 0.825
JCR 5-Year IF: 0.752
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: May 2022
Next issue: Aug 2022
Avg review time: 79 days
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

2021-Apr-15
Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

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  4/2011 - 9

 HIGHLY CITED PAPER 

Automatic Tools for Diagnosis Support of Total Hip Replacement Follow-up

FLOREA, L. See more information about FLOREA, L. on SCOPUS See more information about FLOREA, L. on IEEExplore See more information about FLOREA, L. on Web of Science, FLOREA, C. See more information about  FLOREA, C. on SCOPUS See more information about  FLOREA, C. on SCOPUS See more information about FLOREA, C. on Web of Science, VERTAN, C. See more information about  VERTAN, C. on SCOPUS See more information about  VERTAN, C. on SCOPUS See more information about VERTAN, C. on Web of Science, SULTANA, A. See more information about SULTANA, A. on SCOPUS See more information about SULTANA, A. on SCOPUS See more information about SULTANA, A. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,218 KB) | Citation | Downloads: 1,398 | Views: 4,761

Author keywords
biomedical image processing, feature extraction, image enhancement, prosthetics, X-rays

References keywords
image(9), processing(5), images(5), analysis(5), pattern(4), medical(4), imaging(4), florea(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 55 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04009
Web of Science Accession Number: 000297764500009
SCOPUS ID: 84856590908

Abstract
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Total hip replacement is a common procedure in today orthopedics, with high rate of long-term success. Failure prevention is based on a regular follow-up aimed at checking the prosthesis fit and state by means of visual inspection of radiographic images. It is our purpose to provide automatic means for aiding medical personnel in this task. Therefore we have constructed tools for automatic identification of the component parts of the radiograph, followed by analysis of interactions between the bone and the prosthesis. The results form a set of parameters with obvious interest in medical diagnosis.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] Low-complexity PDE-based approach for automatic microarray image processing, Belean, Bogdan, Terebes, Romulus, Bot, Adrian, Medical & Biological Engineering & Computing, ISSN 0140-0118, Issue 2, Volume 53, 2015.
Digital Object Identifier: 10.1007/s11517-014-1214-2
[CrossRef]

[2] A Comparison of X-Ray Image Segmentation Techniques, STOLOJESCU-CRISAN, C., HOLBAN, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03014
[CrossRef] [Full text]

[3] Software tools for medical diagnosis support automatic interpretation of digital X-ray films, Vertan, Constantin, Florea, Corneliu, Florea, Laura, Sultana, Alina, 2013 E-Health and Bioengineering Conference (EHB), ISBN 978-1-4799-2373-1, 2013.
Digital Object Identifier: 10.1109/EHB.2013.6707395
[CrossRef]

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Copyright ©2001-2022
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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