Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ahmed Sharafeldeen"'
Autor:
Abdelrahman Gamal, Ahmed Sharafeldeen, Eman Alnaghy, Reham Alghandour, Norah Saleh Alghamdi, Khadiga M. Ali, Sameh Shamaa, Amal Aboueleneen, Ahmed Elsaid Tolba, Samir Elmougy, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz
Publikováno v:
IEEE Access, Vol 12, Pp 104983-105003 (2024)
The primary objective of this paper is to develop a machine learning-based approach capable of predicting the treatment response of neoadjuvant chemotherapy (NAC) to enhance breast cancer treatment management. The proposed system aims to predict NAC
Externí odkaz:
https://doaj.org/article/d5031a4b70984dc1a73834052d43a623
Autor:
Ibrahim Shawky Farahat, Ahmed Sharafeldeen, Mohammed Ghazal, Norah Saleh Alghamdi, Ali Mahmoud, James Connelly, Eric van Bogaert, Huma Zia, Tania Tahtouh, Waleed Aladrousy, Ahmed Elsaid Tolba, Samir Elmougy, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The proposed AI-based diagnostic system aims to predict the respiratory support required for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level of respiratory support provided to the patients. Computed tomo
Externí odkaz:
https://doaj.org/article/557e0f92acad4ebca2fb9d318705a70d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Counting number of triangles in the graph is considered a major task in many large-scale graph analytics problems such as clustering coefficient, transitivity ratio, trusses, etc. In recent years, MapReduce becomes one of the most popular an
Externí odkaz:
https://doaj.org/article/961e6ad2eeab4ecb9a783eaec44ad5fb
Autor:
Mohamed Elsharkawy, Ahmed Sharafeldeen, Fatma Taher, Ahmed Shalaby, Ahmed Soliman, Ali Mahmoud, Mohammed Ghazal, Ashraf Khalil, Norah Saleh Alghamdi, Ahmed Abdel Khalek Abdel Razek, Eman Alnaghy, Moumen T. El-Melegy, Harpal Singh Sandhu, Guruprasad A. Giridharan, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The primary goal of this manuscript is to develop a computer assisted diagnostic (CAD) system to assess pulmonary function and risk of mortality in patients with coronavirus disease 2019 (COVID-19). The CAD system processes chest X-ray data
Externí odkaz:
https://doaj.org/article/398c0b79cd6d4c88a462d85aae3e8566
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
Autor:
Nihal M. Batouty, Gehad A. Saleh, Ahmed Sharafeldeen, Heba Kandil, Ali Mahmoud, Ahmed Shalaby, Maha Yaghi, Adel Khelifi, Mohammed Ghazal, Ayman El-Baz
Publikováno v:
Bioengineering, Vol 9, Iss 10, p 493 (2022)
Lung cancer is among the most common mortality causes worldwide. This scientific article is a comprehensive review of current knowledge regarding screening, subtyping, imaging, staging, and management of treatment response for lung cancer. The tradit
Externí odkaz:
https://doaj.org/article/ed6bc0cf3044478fa173e50a4060b7eb
Autor:
Sayed Haggag, Ahmed Elnakib, Ahmed Sharafeldeen, Mohamed Elsharkawy, Fahmi Khalifa, Rania Kamel Farag, Mohamed A. Mohamed, Harpal Singh Sandhu, Wathiq Mansoor, Ashraf Sewelam, Ayman El-Baz
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8326 (2022)
Diabetic retinopathy (DR) is a major public health problem and the leading cause of vision loss in the working age population. This paper presents a novel deep learning system for the detection and diagnosis of DR using optical coherence tomography (
Externí odkaz:
https://doaj.org/article/1f4c3b80edb240b6b0ffe91c539a8949
Autor:
Norah Saleh Alghamdi, Fatma Taher, Heba Kandil, Ahmed Sharafeldeen, Ahmed Elnakib, Ahmed Soliman, Yaser ElNakieb, Ali Mahmoud, Mohammed Ghazal, Ayman El-Baz
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5377 (2022)
This study develops an atlas-based automated framework for segmenting infants’ brains from magnetic resonance imaging (MRI). For the accurate segmentation of different structures of an infant’s brain at the isointense age (6–12 months), our fra
Externí odkaz:
https://doaj.org/article/574e93cca2044b8d8e387098058db2d9
Autor:
Mohamed Elsharkawy, Mostafa Elrazzaz, Ahmed Sharafeldeen, Marah Alhalabi, Fahmi Khalifa, Ahmed Soliman, Ahmed Elnakib, Ali Mahmoud, Mohammed Ghazal, Eman El-Daydamony, Ahmed Atwan, Harpal Singh Sandhu, Ayman El-Baz
Publikováno v:
Sensors, Vol 22, Iss 9, p 3490 (2022)
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes. Long periods of uncontrolled blood sugar levels result in endothel
Externí odkaz:
https://doaj.org/article/c5118ee2d2a94e00b91c8357d5d8b79b
Autor:
Ibrahim Shawky Farahat, Ahmed Sharafeldeen, Mohamed Elsharkawy, Ahmed Soliman, Ali Mahmoud, Mohammed Ghazal, Fatma Taher, Maha Bilal, Ahmed Abdel Khalek Abdel Razek, Waleed Aladrousy, Samir Elmougy, Ahmed Elsaid Tolba, Moumen El-Melegy, Ayman El-Baz
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 696 (2022)
Early grading of coronavirus disease 2019 (COVID-19), as well as ventilator support machines, are prime ways to help the world fight this virus and reduce the mortality rate. To reduce the burden on physicians, we developed an automatic Computer-Aide
Externí odkaz:
https://doaj.org/article/96ccc416507942238859f62e09a6d85c