Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Ahmed Elnakib"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/098758ca41ee43edbe53628f87f2cf44
Publikováno v:
IEEE Access, Vol 12, Pp 10087-10101 (2024)
This paper introduces a deep learning approach for breast cancer segmentation from ultrasound imaging using a Dual Decoder Attention ResUNet (DDA-AttResUNet). DDA-AttResUNet utilizes a Dual Decoder Attention structure to simultaneously focus on tumor
Externí odkaz:
https://doaj.org/article/9d590aa606b84d5faf6775528a7a8451
Autor:
Mohamed T. Ali, Ahmad Gebreil, Yaser ElNakieb, Ahmed Elnakib, Ahmed Shalaby, Ali Mahmoud, Ahmed Sleman, Guruprasad A. Giridharan, Gregory Barnes, Ayman S. Elbaz
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-21 (2023)
Abstract Autism Spectrum Disorder (ASD) is characterized as a neurodevelopmental disorder with a heterogeneous nature, influenced by genetics and exhibiting diverse clinical presentations. In this study, we dissect Autism Spectrum Disorder (ASD) into
Externí odkaz:
https://doaj.org/article/6ec305bea1514f06800cd22cb5654eb1
Autor:
Mahmoud El-Bendary, Mustafa Naemattalah, Hatem Elalfy, Tarek Besheer, Ahmed Elnakib, Ahmed Elhawary, Abdel-Hady El-Gilany, Hosam Zaghloul, Mohamed Elegezy
Publikováno v:
Journal of Advanced Research, Vol 54, Iss , Pp S5-S6 (2023)
Externí odkaz:
https://doaj.org/article/c4013004394049e6885e1a58a9e84d78
Autor:
Mahmoud El-Bendary, Mustafa Naemattalah, Hatem Elalfy, Tarek Besheer, Ahmed Elhawary, Abdel-Hady El-Gilany, Hosam Zaghloul, Mohamed Elegezy, Ahmed Elnakib
Publikováno v:
Journal of Advanced Research, Vol 54, Iss , Pp S3-S4 (2023)
Externí odkaz:
https://doaj.org/article/be89e5b4e3d043b9bfc1b0f7a2f9ecfc
Autor:
Jessica M. Miller, Moustafa H. Meki, Ahmed Elnakib, Qinghui Ou, Riham R. E. Abouleisa, Xian-Liang Tang, Abou Bakr M. Salama, Ahmad Gebreil, Cindy Lin, Hisham Abdeltawab, Fahmi Khalifa, Bradford G. Hill, Najah Abi-Gerges, Roberto Bolli, Ayman S. El-Baz, Guruprasad A. Giridharan, Tamer M. A. Mohamed
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-14 (2022)
A physiological culture system to electro-mechanically stimulate pig heart slices to assess the drug effects on the functionality, metabolic activity, and structural integrity of the heart tissue under physiological and hypertrophic condition.
Externí odkaz:
https://doaj.org/article/8f7047372b45403fa49e32a251dab857
Autor:
Eman Helmy, Ahmed Elnakib, Yaser ElNakieb, Mohamed Khudri, Mostafa Abdelrahim, Jawad Yousaf, Mohammed Ghazal, Sohail Contractor, Gregory Neal Barnes, Ayman El-Baz
Publikováno v:
Biomedicines, Vol 11, Iss 7, p 1858 (2023)
Autism spectrum disorder (ASD) is a wide range of diseases characterized by difficulties with social skills, repetitive activities, speech, and nonverbal communication. The Centers for Disease Control (CDC) estimates that 1 in 44 American children cu
Externí odkaz:
https://doaj.org/article/e7cccbc74ece49658bf9b2a8404a4376
Autor:
Yaser ElNakieb, Mohamed T. Ali, Ahmed Elnakib, Ahmed Shalaby, Ali Mahmoud, Ahmed Soliman, Gregory Neal Barnes, Ayman El-Baz
Publikováno v:
Bioengineering, Vol 10, Iss 1, p 56 (2023)
In addition to the standard observational assessment for autism spectrum disorder (ASD), recent advancements in neuroimaging and machine learning (ML) suggest a rapid and objective alternative using brain imaging. This work presents a pipelined frame
Externí odkaz:
https://doaj.org/article/5ee34917d29c420da0365d8a33e8a06a
Autor:
Hisham Abdeltawab, Fahmi Khalifa, Yaser ElNakieb, Ahmed Elnakib, Fatma Taher, Norah Saleh Alghamdi, Harpal Singh Sandhu, Ayman El-Baz
Publikováno v:
Bioengineering, Vol 9, Iss 10, p 536 (2022)
In this paper, a machine learning-based system for the prediction of the required level of respiratory support in COVID-19 patients is proposed. The level of respiratory support is divided into three classes: class 0 which refers to minimal support,
Externí odkaz:
https://doaj.org/article/c6b6a13da6664f85aa8e0d0b2f87a93c
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