Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohamed Abou El-Ghar"'
Autor:
Moumen T. El-Melegy, Amy C. Dwyer, Mohamed Abou El-Ghar, Ayman El-Baz, Ali Mahmoud, Ashraf Bakr, Shams Shaker, Jasjit S. Suri, Ashraf Khalil, Mohamed Shehata, Mohammed Ghazal, Hisham Abdeltawab, Ahmed Shalaby
For the past several years the ability of diffusion-weighted magnetic resonance imaging (DW-MRI) to provide a noninvasive assessment of renal transplant function has been investigated. The goal of this chapter is to develop a computer-aided diagnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa322efd9627a7fb2db9bc6d9fc62354
https://doi.org/10.1016/b978-0-12-819740-0.00005-x
https://doi.org/10.1016/b978-0-12-819740-0.00005-x
Autor:
Shams Shaker, Fatma Taher, Amy C. Dwyer, Jasjit S. Suri, Mohammed Ghazal, Mohamed Abou El-Ghar, Mohamed Shehata, Ahmed Shalaby, Ashraf Bakr, Maryam El-Baz, Ayman El-Baz, Mohamed Badawy, Ali Mahmoud
The goal of this chapter is to explore the developed computer-aided diagnostic (CAD) system that helps to determine the functionality of renal transplant using diffusion-weighted magnetic resonance imaging (DW-MRI). This study is based on the integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6729e44a2e18af682a03d73d780883eb
https://doi.org/10.1016/b978-0-12-819740-0.00010-3
https://doi.org/10.1016/b978-0-12-819740-0.00010-3
Autor:
Hassan Hajjdiab, Ali Mahmoud, Fahmi Khalifa, Ahmed Shalaby, Amy C. Dwyer, Mohamed Shehata, Mohammed Ghazal, Ayman El-Baz, Mohamed Abou El-Ghar, Hisham Abdeltawab, Robert S. Keynton
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Scientific Reports
Scientific Reports
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the f
Autor:
Mohammed Ghazal, Ali Mahmoud, Fatma Taher, Ayman El-Baz, Adel Elmaghraby, Mohamed Shehata, Garth M. Beache, Amy C. Dwyer, Mohamed Abou El-Ghar
Publikováno v:
ISSPIT
Non-invasive evaluation of renal transplant function is crucial. Hence, a computer-assisted diagnostic (CAD) system is introduced in this paper to evaluate kidney function post-transplantation. The developed CAD system integrates clinical-based with
Autor:
Mohammed Ghazal, Mohamed Shehata, Georgy Gimel'farb, Fahmi Khalifa, Fatma Taher, Ahmed Soliman, Amy C. Dwyer, Robert S. Keynton, Mohamed Abou El-Ghar, Ayman El-Baz
Publikováno v:
IEEE transactions on bio-medical engineering. 66(2)
Objective: Early diagnosis of acute renal transplant rejection (ARTR) is critical for accurate treatment. Although the current gold standard, diagnostic technique is renal biopsy, it is not preferred due to its invasiveness, long recovery time (1–2
Autor:
Ahmed Soliman, Amy C. Dwyer, Tarek El-Diasty, Mohamed Abou El-Ghar, Georgy Gimel'farb, Mohamed Shehata, Moumen T. El-Melegy, Fahmi Khalifa, Robert S. Keynton, Ayman El-Baz
Publikováno v:
ISBI
In recent years, magnetic resonance imaging (MRI) has been explored for non-invasive assessment of renal transplant function. This paper proposes a computer-aided diagnostic (CAD) system for the assessment of renal transplant status, which integrates