Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Amy C. Dwyer"'
Autor:
Hisham Abdeltawab, Mohamed Shehata, Ahmed Shalaby, Fahmi Khalifa, Ali Mahmoud, Mohamed Abou El-Ghar, Amy C. Dwyer, Mohammed Ghazal, Hassan Hajjdiab, Robert Keynton, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)
Abstract 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
Externí odkaz:
https://doaj.org/article/5122771f8eff417ead0e170207bac3a5
Autor:
Mohamed A Sheta, Crystal A. Farrington, Amy C. Dwyer, Shahriar Moossavi, Edgar V. Lerma, Ammar Almehmi, Bharvi P Oza-Gajera, James A Davis
Publikováno v:
The Journal of Vascular Access. 24:329-337
More than 1 million peripherally inserted central catheters (PICC) are placed annually in the US and are used to provide convenient vascular access for a variety of reasons including long term antibiotic treatment, chemotherapy, parenteral nutrition,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea78c11135f08252311a42896dac9301
https://doi.org/10.1177/11297298211025897
https://doi.org/10.1177/11297298211025897
Autor:
Mohamed Shehata, Rasha T. Abouelkheir, Mallorie Gayhart, Eric Van Bogaert, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Jawad Yousaf, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz
Publikováno v:
Cancers. 15:2835
Globally, renal cancer (RC) is the 10th most common cancer among men and women. The new era of artificial intelligence (AI) and radiomics have allowed the development of AI-based computer-aided diagnostic/prediction (AI-based CAD/CAP) systems, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18da97265e2494e8bc2f5228e638654c
https://doi.org/10.3390/cancers15102835
https://doi.org/10.3390/cancers15102835
Publikováno v:
Advances in Chronic Kidney Disease. 27:228-235
Tunneled dialysis catheters remain the most common vascular access used to initiate hemodialysis. Unfortunately, their use is associated with higher morbidity and mortality when compared with arteriovenous fistulae or grafts. Different types of cathe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74eb82898417145b3f5be6e4425484cf
https://doi.org/10.1053/j.ackd.2020.02.004
https://doi.org/10.1053/j.ackd.2020.02.004
Autor:
Ayman El-Baz, Ali Mahmoud, Fahmi Khalifa, Ahmed M. Soliman, Jasjit S. Suri, Mohammed Ghazal, Mohamed Shehata, Ahmed Shalaby, Maryam El-Baz, Amy C. Dwyer, Mohamed Abou El-Ghar, Shams Shaker
Publikováno v:
Machine Learning in Medicine ISBN: 9781315101323
Machine Learning in Medicine
Machine Learning in Medicine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1883f0cc1eaa25de00818ffaa452e2a
https://doi.org/10.1201/9781315101323-14
https://doi.org/10.1201/9781315101323-14
Publikováno v:
The journal of vascular access.
Vascular access is the Achilles’ heel of dialysis therapy among patient with end stage kidney disease. The development of neointimal hyperplasia and subsequent stenosis is common in vascular access and is associated with significant morbidity. Perc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038e5a6b613bd5f54f096fc07be96715
https://pubmed.ncbi.nlm.nih.gov/33993804
https://pubmed.ncbi.nlm.nih.gov/33993804
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:
Robert S. Keynton, Ashraf Khalil, Mohamed Shehata, Ayman El-Baz, Amy C. Dwyer, Hadil Abu Khalifeh, Ahmed Shalaby, Ashraf M. Bakr, Mohammed Ghazal
Publikováno v:
ICIP
Proc Int Conf Image Proc
Proc Int Conf Image Proc
Recently, studies for non-invasive renal transplant evaluation have been explored to control allograft rejection. In this paper, a computer-aided diagnostic system has been developed to accommodate with an early-stage renal transplant status assessme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9933db00621ff1eff3ffebd46f5f8536
https://doi.org/10.1109/icip40778.2020.9190818
https://doi.org/10.1109/icip40778.2020.9190818
Autor:
Ayman El-Baz, Robert S. Keynton, Ashraf Bakr, Ali Mahmoud, Adel Elmaghraby, M. A. Badawy, Ahmed Shalaby, Mohamed Shehata, Mohammed Ghazal, Amy C. Dwyer, Mohamed Abou El-Ghar, Hassan Hajjdiab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab46388b6a9ae9e81bd5da1b66bbf51
https://doi.org/10.1201/b22410-9
https://doi.org/10.1201/b22410-9