Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Ahmed, Elnakib"'
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:
Gehad A. Saleh, Nihal M. Batouty, Abdelrahman Gamal, Ahmed Elnakib, Omar Hamdy, Ahmed Sharafeldeen, Ali Mahmoud, Mohammed Ghazal, Jawad Yousaf, Marah Alhalabi, Amal AbouEleneen, Ahmed Elsaid Tolba, Samir Elmougy, Sohail Contractor, Ayman El-Baz
Publikováno v:
Cancers, Vol 15, Iss 21, p 5216 (2023)
Breast cancer stands out as the most frequently identified malignancy, ranking as the fifth leading cause of global cancer-related deaths. The American College of Radiology (ACR) introduced the Breast Imaging Reporting and Data System (BI-RADS) as a
Externí odkaz:
https://doaj.org/article/6535944281de47fc9490d8d4e67a416d
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:
Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric van Bogaert, Sohail Contractor, Ayman El-Baz
Publikováno v:
Cancers, Vol 14, Iss 24, p 6123 (2022)
Hepatocellular carcinoma (HCC) is the most common primary hepatic neoplasm. Thanks to recent advances in computed tomography (CT) and magnetic resonance imaging (MRI), there is potential to improve detection, segmentation, discrimination from HCC mim
Externí odkaz:
https://doaj.org/article/0d968696392c40d4b7256e1c121a7d7c
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