Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Norah S. Alghamdi"'
Autor:
Aya T. Shalata, Ahmed Alksas, Mohamed Shehata, Sherry Khater, Osama Ezzat, Khadiga M. Ali, Dibson Gondim, Ali Mahmoud, Eman M. El-Gendy, Mohamed A. Mohamed, Norah S. Alghamdi, Mohammed Ghazal, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The grading of non-muscle invasive bladder cancer (NMIBC) continues to face challenges due to subjective interpretations, which affect the assessment of its severity. To address this challenge, we are developing an innovative artificial inte
Externí odkaz:
https://doaj.org/article/7e698f5f07a84842b71e4c8290659c0c
Autor:
Norah S. Alghamdi, Masud Rana, Xiyue Peng, Yongxin Huang, Jaeho Lee, Jingwei Hou, Ian R. Gentle, Lianzhou Wang, Bin Luo
Publikováno v:
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-36 (2023)
Highlights A comprehensive discussion of the recent advances in zinc–bromine rechargeable batteries with flow or non-flow electrolytes is presented. The fundamental electrochemical aspects including the key challenges and promising solutions in bot
Externí odkaz:
https://doaj.org/article/eb47de2adb1b40349f7e24de9e97ee07
Autor:
Yongxin Huang, Yiqing Wang, Xiyue Peng, Tongen Lin, Xia Huang, Norah S Alghamdi, Masud Rana, Peng Chen, Cheng Zhang, Andrew K Whittaker, Lianzhou Wang, Bin Luo
Publikováno v:
Materials Futures, Vol 3, Iss 3, p 035102 (2024)
Rechargeable zinc-iodine (ZnI _2 ) batteries have gained popularity within the realm of aqueous batteries due to their inherent advantages, including natural abundance, intrinsic safety, and high theoretical capacity. However, challenges persist in t
Externí odkaz:
https://doaj.org/article/1f46a88834254addad16fc4b9f38e9bd
Autor:
Mohamed Bekheet, Mohammed Sallah, Norah S. Alghamdi, Roxana Rusu-Both, Ahmed Elgarayhi, Mohammed Elmogy
Publikováno v:
Diagnostics, Vol 14, Iss 3, p 255 (2024)
Ischemic heart condition is one of the most prevalent causes of death that can be treated more effectively and lead to fewer fatalities if identified early. Heart muscle fibrosis affects the diastolic and systolic function of the heart and is linked
Externí odkaz:
https://doaj.org/article/2980a64cf37a42a4b523963426ed0850
Publikováno v:
Biomedicines, Vol 11, Iss 1, p 6 (2022)
The dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique has great potential in the diagnosis, therapy, and follow-up of patients with chronic kidney disease (CKD). Towards that end, precise kidney segmentation from DCE-MRI data b
Externí odkaz:
https://doaj.org/article/00496722a6ed4943a5e73643ba153abd
Publikováno v:
Bioengineering, Vol 9, Iss 11, p 654 (2022)
The segmentation of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) of the kidney is a fundamental step in the early and noninvasive detection of acute renal allograft rejection. In this paper, a new and accurate DCE-MRI kidney segmenta
Externí odkaz:
https://doaj.org/article/af161dde010c4fd280e8ee5594d22431
Autor:
Mahmoud Elgafi, Ahmed Sharafeldeen, Ahmed Elnakib, Ahmed Elgarayhi, Norah S. Alghamdi, Mohammed Sallah, Ayman El-Baz
Publikováno v:
Sensors, Vol 22, Iss 20, p 7833 (2022)
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated early. In this study, a three-step system for DR detection utilizing optical coherence tomography (OCT) is presented. First, the proposed system segments
Externí odkaz:
https://doaj.org/article/be0c652e90fc4403a7892327b8efd7ee
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09c79793c1055bf2bea6d0905a35fa10
https://doi.org/10.14569/ijacsa.2021.0121192
https://doi.org/10.14569/ijacsa.2021.0121192
Autor:
Shalata, Aya T.1 (AUTHOR), Alksas, Ahmed2 (AUTHOR), Shehata, Mohamed2 (AUTHOR), Khater, Sherry3 (AUTHOR), Ezzat, Osama3 (AUTHOR), Ali, Khadiga M.4 (AUTHOR), Gondim, Dibson5 (AUTHOR), Mahmoud, Ali2 (AUTHOR), El-Gendy, Eman M.6 (AUTHOR), Mohamed, Mohamed A.7 (AUTHOR), Alghamdi, Norah S.8 (AUTHOR), Ghazal, Mohammed9 (AUTHOR), El-Baz, Ayman2 (AUTHOR) aselba01@louisville.edu
Publikováno v:
Scientific Reports. 10/24/2024, Vol. 14 Issue 1, p1-12. 12p.
Cardiac Fibrosis Automated Diagnosis Based on FibrosisNet Network Using CMR Ischemic Cardiomyopathy.
Autor:
Bekheet, Mohamed1,2 (AUTHOR), Sallah, Mohammed3 (AUTHOR) moibrahim@ub.edu.sa, Alghamdi, Norah S.4 (AUTHOR), Rusu-Both, Roxana5 (AUTHOR), Elgarayhi, Ahmed1 (AUTHOR), Elmogy, Mohammed6 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). Feb2024, Vol. 14 Issue 3, p255. 18p.